diff --git a/.gitattributes b/.gitattributes
index 3eb8f335a..33852c6b6 100644
--- a/.gitattributes
+++ b/.gitattributes
@@ -1,8 +1,10 @@
 *.onnx filter=lfs diff=lfs merge=lfs -text
 *.pb filter=lfs diff=lfs merge=lfs -text
-*.zip filter=lfs diff=lfs merge=lfs -text
 *.tar filter=lfs diff=lfs merge=lfs -text
 *.gz filter=lfs diff=lfs merge=lfs -text
 *.pkl filter=lfs diff=lfs merge=lfs -text
 *.tar.gz filter=lfs diff=lfs merge=lfs -text
 *.tgz filter=lfs diff=lfs merge=lfs -text
+*.weight filter=lfs diff=lfs merge=lfs -text
+*.bias filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
diff --git a/.github/PULL_REQUEST_TEMPLATE.md b/.github/PULL_REQUEST_TEMPLATE.md
deleted file mode 100644
index cfa02c061..000000000
--- a/.github/PULL_REQUEST_TEMPLATE.md
+++ /dev/null
@@ -1,142 +0,0 @@
-# Model Name
-
-## Description
-Description of model - What task does it address (i.e. object detection, image classification)? What is the main advantage or feature of this model's architecture?
-
-All ONNX models must pass the ONNX model checker before contribution. The snippet of code below can be used to perform the check. If any errors are encountered, it implies the check has failed.
-
-```
-import onnx
-from onnx import checker
-model_proto = onnx.load("path to .onnx file")
-checker.check_model(model_proto)
-```
-
-### Contribute a Gradio Demo to ONNX Organization on Hugging Face
-
-* Create an account on Hugging Face: https://huggingface.co/join
-* See list of models left to add to ONNX organization, please refer to the table with the [Models list](https://github.com/onnx/models#models)
-* Add Gradio Demo under your username, see blog for setting up Gradio Demo on Hugging Face: https://huggingface.co/blog/gradio-spaces
-* Request to join ONNX Organization: https://huggingface.co/onnx
-* Once approved transfer model from your username to ONNX organization
-* Add a badge for model in model table, see examples in [Models list](https://github.com/onnx/models#models)
-
-## Model
-
-|Model        |Download  | Download (with sample test data)|ONNX version|Opset version|Accuracy |
-|-------------|:--------------|:--------------|:--------------|:--------------|:--------------|
-|Model Name       | Relative link to ONNX Model with size  | tar file containing ONNX model and synthetic test data (in .pb format)|ONNX version used for conversion| Opset version used for conversion|Accuracy values |
-|Example (VGG 19)|    [548.1 MB](classification/vgg/model/vgg19-7.onnx)    |[508.5 MB](classification/vgg/model/vgg19-7.tar.gz)| 1.2.1  |7 | 73.72     |
-
-Please submit new models with Git LFS by committing directly to the repository, and using relative links (i.e. ***model/vgg19-7.onnx***) in the table above. In this file name example, ***vgg19*** is the name of the model and ***7*** is the opset number.
-
-### Source
-Source Framework ==> ONNX model  
-i.e. Caffe2 DenseNet-121 ==> ONNX DenseNet
-
-## Inference
-Step by step instructions on how to use the pretrained model and link to an example notebook/code. This section should ideally contain:
-
-### Input
-Input to network (Example: 224x224 pixels in RGB)
-
-### Preprocessing
-Preprocessing required
-
-### Output
-Output of network
-
-### Postprocessing
-Post processing and meaning of output
-
-## Model Creation
-
-### Dataset (Train and validation)
-This section should discuss datasets and any preparation steps if required.
-
-### Training
-Training details (preprocessing, hyperparameters, resources and environment) along with link to a training notebook (optional).
-
-Also clarify in case the model is not trained from scratch and include the source/process used to obtain the ONNX model.
-
-### Validation accuracy
-Validation script/notebook used to obtain accuracy reported above along with details of how to use it and reproduce accuracy. Details of experiments leading to accuracy from the reference paper.
-
-## Test Data Creation
-
-Creating test data for uploaded models can help CI to verify the uploaded models by ONNXRuntime utilties. Please upload the ONNX model with created test data (`test_data_set_0`) in the .tar.gz.
-
-### Requirement
-```
-pip install onnx onnxruntime numpy
-git clone https://github.com/onnx/models.git
-````
-### Usage
-```
-def create_test_dir(model_path, root_path, test_name,
-                    name_input_map=None, symbolic_dim_values_map=None,
-                    name_output_map=None):
-    """
-    Create a test directory that can be used with onnx_test_runner, onnxruntime_perf_test.
-    Generates random input data for any missing inputs.
-    Saves output from running the model if name_output_map is not provided.
-
-    :param model_path: Path to the onnx model file to use.
-    :param root_path: Root path to create the test directory in.
-    :param test_name: Name for test. Will be added to the root_path to create the test directory name.
-    :param name_input_map: Map of input names to numpy ndarray data for each input.
-    :param symbolic_dim_values_map: Map of symbolic dimension names to values to use for the input data if creating
-                                    using random data.
-    :param name_output_map: Optional map of output names to numpy ndarray expected output data.
-                            If not provided, the model will be run with the input to generate output data to save.
-    :return: None
-    """
-```
-### Example
-The input/output .pb files will be produced under `temp/examples/test1/test_data_set_0`.
-```
-import sys
-sys.path.append('<onnx/models root dir>/workflow_scripts/')
-import ort_test_dir_utils
-import numpy as np
-
-# example model with two float32 inputs called 'input' [batch_size, 1, 224, 224])
-model_path = '<onnx/models root dir>/vision/super_resolution/sub_pixel_cnn_2016/model/super-resolution-10.onnx'
-
-# If there is no symbolic_dim
-ort_test_dir_utils.create_test_dir(model_path, 'temp/examples', 'test1')
-
-# when using the default data generation any symbolic dimension values can be provided
-# otherwise the default value for missing symbolic_vals would be 1
-
-symbolic_vals = {'batch_size': 1} # provide value for symbolic dim named 'batch_size'
-
-# let create_test_dir create random input in the (arbitrary) default range of -10 to 10. 
-# it will create data of the correct type based on the model.
-ort_test_dir_utils.create_test_dir(model_path, 'temp/examples', 'test1', symbolic_dim_values_map=symbolic_vals)
-
-# alternatively some or all input can be provided directly. any missing inputs will have random data generated.
-batch_size = 64
-inputs = {'input': np.random.rand(batch_size, 1, 224, 224).astype(np.float32)}
-
-ort_test_dir_utils.create_test_dir(model_path, 'temp/examples', 'test2', name_input_map=inputs)
-
-```
-
-### More details
-https://github.com/microsoft/onnxruntime/blob/master/tools/python/PythonTools.md
-
-<hr>
-
-### Update ONNX_HUB_MANIFEST.json for ONNX Hub
-If this PR does update/add .onnx or .tar.gz files, please use `python workflow_scripts/generate_onnx_hub_manifest.py --target diff` to update ONNX_HUB_MANIFEST.json with according model information (especially SHA) for ONNX Hub.
-
-### References
-Link to paper or references.
-
-## Contributors
-Contributors' names
-
-## License
-Add license information - on default, Apache 2.0
-<hr>
diff --git a/.github/workflows/linux_ci.yml b/.github/workflows/linux_ci.yml
deleted file mode 100644
index 3d386f860..000000000
--- a/.github/workflows/linux_ci.yml
+++ /dev/null
@@ -1,52 +0,0 @@
-# Basic linux ci workflow for model zoo.
-# Runs model checker for models updated in the PR
-
-name: Linux CI
-
-# Triggers the workflow on push or pull request events but only for the main branch
-on:
-  push:
-    branches: [ main ]
-  pull_request:
-    branches: [ main ]
-
-jobs:
-  # This workflow contains a single job called "build"
-  build:
-    # The type of runner that the job will run on
-    runs-on: ubuntu-latest
-    strategy:
-      matrix:
-        python-version: ['3.10']
-        architecture: ['x64']
-
-    steps:
-      - uses: actions/checkout@v2
-        name: Checkout repo
-
-      - name: Set up Python ${{ matrix.python-version }}
-        uses: actions/setup-python@v1
-        with:
-          python-version: ${{ matrix.python-version }}
-          architecture: ${{ matrix.architecture }}
-
-      - name: Install dependencies
-        run: |
-          python -m pip install --upgrade pip
-          python -m pip install onnx onnxruntime requests py-cpuinfo
-          # Print CPU info for debugging ONNX Runtime inference difference
-          python -m cpuinfo
-
-      - name: Test updated ONNX_HUB_MANIFEST.json
-        run: |
-          python -m pip install typepy BeautifulSoup4 markdown pandas
-          python workflow_scripts/generate_onnx_hub_manifest.py --target diff --drop
-          git diff --exit-code -- ONNX_HUB_MANIFEST.json || { echo 'Please use "python workflow_scripts/generate_onnx_hub_manifest.py --target diff" to update ONNX_HUB_MANIFEST.json.' ; exit 1; }
-
-      - name: Test new models by onnx
-        run: |
-          python workflow_scripts/test_models.py --target onnx --drop
-
-      - name: Test new models by onnxruntime
-        run: |
-          python workflow_scripts/test_models.py --target onnxruntime --drop
diff --git a/.github/workflows/windows_ci.yml b/.github/workflows/windows_ci.yml
deleted file mode 100644
index aab61ba3c..000000000
--- a/.github/workflows/windows_ci.yml
+++ /dev/null
@@ -1,46 +0,0 @@
-# Basic windows ci workflow for model zoo.
-# Runs model checker for models updated in the PR
-
-name: Windows CI
-
-# Triggers the workflow on push or pull request events but only for the main branch
-on:
-  push:
-    branches: [ main ]
-  pull_request:
-    branches: [ main ]
-
-jobs:
-  # This workflow contains a single job called "build"
-  build:
-    # The type of runner that the job will run on
-    runs-on: windows-latest
-    strategy:
-      matrix:
-        python-version: ['3.10']
-        architecture: ['x64']
-
-    steps:
-      - uses: actions/checkout@v2
-        name: Checkout repo
-        
-      - name: Set up Python ${{ matrix.python-version }}
-        uses: actions/setup-python@v1
-        with:
-          python-version: ${{ matrix.python-version }}
-          architecture: ${{ matrix.architecture }}
-      
-      - name: Install dependencies
-        run: |
-          python -m pip install --upgrade pip
-          python -m pip install onnx onnxruntime requests py-cpuinfo
-          # Print CPU info for debugging ONNX Runtime inference difference
-          python -m cpuinfo
-
-      - name: Test new models by onnx
-        run: |
-          python workflow_scripts/test_models.py --target onnx --drop
-
-      - name: Test new models by onnxruntime
-        run: |
-          python workflow_scripts/test_models.py --target onnxruntime --drop
diff --git a/Computer_Vision/adv_inception_v3_Opset16_timm/adv_inception_v3_Opset16.onnx b/Computer_Vision/adv_inception_v3_Opset16_timm/adv_inception_v3_Opset16.onnx
new file mode 100644
index 000000000..e5b1b27b5
--- /dev/null
+++ b/Computer_Vision/adv_inception_v3_Opset16_timm/adv_inception_v3_Opset16.onnx
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5d7380a5bc428d7931ff8ff0a28c56c14a873acf722d016e675682f25602c951
+size 95317116
diff --git a/Computer_Vision/adv_inception_v3_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/adv_inception_v3_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..9daad0a45
--- /dev/null
+++ b/Computer_Vision/adv_inception_v3_Opset16_timm/turnkey_stats.yaml
@@ -0,0 +1,201 @@
+author: timm
+builds:
+  x86_ort:
+    all_build_stages:
+    - export_pytorch
+    - set_success
+    benchmark_status: successful
+    completed_build_stages:
+      export_pytorch: 2.371284008026123
+      set_success: 0.017674684524536133
+    device_type: x86
+    iterations: 100
+    onnx_file: /home/azureuser/.cache/turnkey/adv_inception_v3_timm_6ead9f43/onnx/adv_inception_v3_timm_6ead9f43-op16-base.onnx
+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/adv_inception_v3.py
+class: InceptionV3
+hash: 4599a3df
+model_name: adv_inception_v3
+onnx_input_dimensions:
+  x:
+  - 1
+  - 3
+  - 299
+  - 299
+onnx_model_information:
+  ir_version: 8
+  opset: 16
+  size on disk (KiB): 93083.1533
+onnx_ops_counter:
+  AveragePool: 9
+  Concat: 11
+  Conv: 94
+  Flatten: 1
+  Gemm: 1
+  GlobalAveragePool: 1
+  MaxPool: 4
+  Relu: 94
+parameters: 23834568
+system_info:
+  Memory Info: 62.79 GB
+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
+  Processor: Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
+  Python Packages:
+  - gitpython==3.1.40
+  - jinja2==3.1.2
+  - markdown==3.5.1
+  - markupsafe==2.1.3
+  - pillow==10.1.0
+  - pynacl==1.5.0
+  - pyyaml==6.0.1
+  - pygments==2.16.1
+  - absl-py==2.0.0
+  - aiohttp==3.8.6
+  - aiosignal==1.3.1
+  - altair==5.1.2
+  - appdirs==1.4.4
+  - async-timeout==4.0.3
+  - attrs==23.1.0
+  - backports.zoneinfo==0.2.1
+  - bcrypt==4.0.1
+  - blinker==1.7.0
+  - boto3==1.28.77
+  - botocore==1.31.77
+  - cachetools==5.3.2
+  - certifi==2023.7.22
+  - cffi==1.16.0
+  - charset-normalizer==3.3.2
+  - click==8.1.7
+  - coloredlogs==15.0.1
+  - cryptography==41.0.5
+  - datasets==2.14.6
+  - diffusers==0.12.0
+  - dill==0.3.7
+  - docker-pycreds==0.4.0
+  - fasteners==0.19
+  - filelock==3.13.1
+  - flatbuffers==23.5.26
+  - frozenlist==1.4.0
+  - fsspec==2023.10.0
+  - fvcore==0.1.5.post20221221
+  - gitdb==4.0.11
+  - google-auth==2.23.4
+  - google-auth-oauthlib==1.0.0
+  - grpcio==1.59.2
+  - huggingface-hub==0.17.3
+  - humanfriendly==10.0
+  - hummingbird-ml==0.4.4
+  - idna==3.4
+  - importlib-metadata==6.8.0
+  - importlib-resources==6.1.0
+  - invoke==2.2.0
+  - iopath==0.1.10
+  - jmespath==1.0.1
+  - joblib==1.3.2
+  - jsonschema==4.19.2
+  - jsonschema-specifications==2023.7.1
+  - lightgbm==3.3.5
+  - markdown-it-py==3.0.0
+  - mdurl==0.1.2
+  - mpmath==1.3.0
+  - multidict==6.0.4
+  - multiprocess==0.70.15
+  - networkx==3.1
+  - nltk==3.8.1
+  - numpy==1.24.4
+  - nvidia-cublas-cu12==12.1.3.1
+  - nvidia-cuda-cupti-cu12==12.1.105
+  - nvidia-cuda-nvrtc-cu12==12.1.105
+  - nvidia-cuda-runtime-cu12==12.1.105
+  - nvidia-cudnn-cu12==8.9.2.26
+  - nvidia-cufft-cu12==11.0.2.54
+  - nvidia-curand-cu12==10.3.2.106
+  - nvidia-cusolver-cu12==11.4.5.107
+  - nvidia-cusparse-cu12==12.1.0.106
+  - nvidia-nccl-cu12==2.18.1
+  - nvidia-nvjitlink-cu12==12.3.52
+  - nvidia-nvtx-cu12==12.1.105
+  - oauthlib==3.2.2
+  - onnx==1.15.0
+  - onnxconverter-common==1.14.0
+  - onnxmltools==1.10.0
+  - onnxruntime==1.15.1
+  - packaging==23.2
+  - pandas==2.0.3
+  - paramiko==2.11.0
+  - pathtools==0.1.2
+  - pip==23.3
+  - pkgutil-resolve-name==1.3.10
+  - portalocker==2.8.2
+  - protobuf==3.20.2
+  - psutil==5.9.6
+  - pyarrow==14.0.0
+  - pyasn1==0.5.0
+  - pyasn1-modules==0.3.0
+  - pycparser==2.21
+  - pydeck==0.8.1b0
+  - pyparsing==3.1.1
+  - python-dateutil==2.8.2
+  - pytorch-pretrained-biggan==0.1.1
+  - pytz==2023.3.post1
+  - referencing==0.30.2
+  - regex==2023.10.3
+  - requests==2.31.0
+  - requests-oauthlib==1.3.1
+  - rich==13.6.0
+  - rjieba==0.1.11
+  - roformer==0.4.3
+  - rpds-py==0.10.6
+  - rsa==4.9
+  - s3transfer==0.7.0
+  - safetensors==0.4.0
+  - scikit-learn==1.1.1
+  - scipy==1.10.1
+  - sentence-transformers==2.2.2
+  - sentencepiece==0.1.99
+  - sentry-sdk==1.34.0
+  - seqeval==1.2.2
+  - setproctitle==1.3.3
+  - setuptools==68.0.0
+  - simpletransformers==0.64.3
+  - six==1.16.0
+  - skl2onnx==1.15.0
+  - smmap==5.0.1
+  - streamlit==1.28.1
+  - sympy==1.12
+  - tabulate==0.9.0
+  - tenacity==8.2.3
+  - tensorboard==2.14.0
+  - tensorboard-data-server==0.7.2
+  - termcolor==2.3.0
+  - threadpoolctl==3.2.0
+  - timm==0.9.8
+  - tokenizers==0.14.1
+  - toml==0.10.2
+  - toolz==0.12.0
+  - torch==2.1.0
+  - torch-geometric==2.4.0
+  - torchaudio==2.1.0
+  - torchvision==0.16.0
+  - tornado==6.3.3
+  - tqdm==4.66.1
+  - transformers==4.35.0
+  - triton==2.1.0
+  - turnkeyml==0.2.0
+  - typeguard==4.1.5
+  - typing-extensions==4.8.0
+  - tzdata==2023.3
+  - tzlocal==5.2
+  - urllib3==1.26.18
+  - validators==0.22.0
+  - wandb==0.15.12
+  - watchdog==3.0.0
+  - werkzeug==3.0.1
+  - wheel==0.41.2
+  - xgboost==1.6.1
+  - xxhash==3.4.1
+  - yacs==0.1.8
+  - yarl==1.9.2
+  - zipp==3.17.0
+task: Computer_Vision
diff --git a/Computer_Vision/adv_inception_v3_Opset17_timm/adv_inception_v3_Opset17.onnx b/Computer_Vision/adv_inception_v3_Opset17_timm/adv_inception_v3_Opset17.onnx
new file mode 100644
index 000000000..9d70416cd
--- /dev/null
+++ b/Computer_Vision/adv_inception_v3_Opset17_timm/adv_inception_v3_Opset17.onnx
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b588d8c1faf46c9e1170e3d649b40081a0890b4c47577db88f600cde01406fc3
+size 95317116
diff --git a/Computer_Vision/adv_inception_v3_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/adv_inception_v3_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..c36725d79
--- /dev/null
+++ b/Computer_Vision/adv_inception_v3_Opset17_timm/turnkey_stats.yaml
@@ -0,0 +1,201 @@
+author: timm
+builds:
+  x86_ort:
+    all_build_stages:
+    - export_pytorch
+    - set_success
+    benchmark_status: successful
+    completed_build_stages:
+      export_pytorch: 2.453145742416382
+      set_success: 0.01747894287109375
+    device_type: x86
+    iterations: 100
+    onnx_file: /home/azureuser/.cache/turnkey/adv_inception_v3_timm_6ead9f43/onnx/adv_inception_v3_timm_6ead9f43-op17-base.onnx
+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/adv_inception_v3.py
+class: InceptionV3
+hash: 4599a3df
+model_name: adv_inception_v3
+onnx_input_dimensions:
+  x:
+  - 1
+  - 3
+  - 299
+  - 299
+onnx_model_information:
+  ir_version: 8
+  opset: 17
+  size on disk (KiB): 93083.1533
+onnx_ops_counter:
+  AveragePool: 9
+  Concat: 11
+  Conv: 94
+  Flatten: 1
+  Gemm: 1
+  GlobalAveragePool: 1
+  MaxPool: 4
+  Relu: 94
+parameters: 23834568
+system_info:
+  Memory Info: 62.79 GB
+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
+  Processor: Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
+  Python Packages:
+  - gitpython==3.1.40
+  - jinja2==3.1.2
+  - markdown==3.5.1
+  - markupsafe==2.1.3
+  - pillow==10.1.0
+  - pynacl==1.5.0
+  - pyyaml==6.0.1
+  - pygments==2.16.1
+  - absl-py==2.0.0
+  - aiohttp==3.8.6
+  - aiosignal==1.3.1
+  - altair==5.1.2
+  - appdirs==1.4.4
+  - async-timeout==4.0.3
+  - attrs==23.1.0
+  - backports.zoneinfo==0.2.1
+  - bcrypt==4.0.1
+  - blinker==1.7.0
+  - boto3==1.28.77
+  - botocore==1.31.77
+  - cachetools==5.3.2
+  - certifi==2023.7.22
+  - cffi==1.16.0
+  - charset-normalizer==3.3.2
+  - click==8.1.7
+  - coloredlogs==15.0.1
+  - cryptography==41.0.5
+  - datasets==2.14.6
+  - diffusers==0.12.0
+  - dill==0.3.7
+  - docker-pycreds==0.4.0
+  - fasteners==0.19
+  - filelock==3.13.1
+  - flatbuffers==23.5.26
+  - frozenlist==1.4.0
+  - fsspec==2023.10.0
+  - fvcore==0.1.5.post20221221
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diff --git a/Computer_Vision/beit_base_patch16_224_Opset17_timm/beit_base_patch16_224_Opset17.onnx b/Computer_Vision/beit_base_patch16_224_Opset17_timm/beit_base_patch16_224_Opset17.onnx
new file mode 100644
index 000000000..3d64e0177
--- /dev/null
+++ b/Computer_Vision/beit_base_patch16_224_Opset17_timm/beit_base_patch16_224_Opset17.onnx
@@ -0,0 +1,3 @@
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diff --git a/Computer_Vision/beit_base_patch16_224_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/beit_base_patch16_224_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..f6a9f8dcb
--- /dev/null
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diff --git a/Computer_Vision/beit_base_patch16_384_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/beit_base_patch16_384_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..0ef8c49dd
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+++ b/Computer_Vision/beit_base_patch16_384_Opset16_timm/turnkey_stats.yaml
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+author: timm
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diff --git a/Computer_Vision/beit_large_patch16_384_Opset16_timm/beit_large_patch16_384_Opset16.onnx b/Computer_Vision/beit_large_patch16_384_Opset16_timm/beit_large_patch16_384_Opset16.onnx
new file mode 100644
index 000000000..276ea897c
--- /dev/null
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diff --git a/Computer_Vision/beit_large_patch16_384_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/beit_large_patch16_384_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..61f5e7226
--- /dev/null
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index 000000000..494422044
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+system_info:
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+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
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diff --git a/Computer_Vision/botnet26t_256_Opset17_timm/botnet26t_256_Opset17.onnx b/Computer_Vision/botnet26t_256_Opset17_timm/botnet26t_256_Opset17.onnx
new file mode 100644
index 000000000..913ed2eb7
--- /dev/null
+++ b/Computer_Vision/botnet26t_256_Opset17_timm/botnet26t_256_Opset17.onnx
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diff --git a/Computer_Vision/botnet26t_256_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/botnet26t_256_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..98a6ca966
--- /dev/null
+++ b/Computer_Vision/botnet26t_256_Opset17_timm/turnkey_stats.yaml
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+author: timm
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/botnet26t_256.py
+class: ByobNet
+hash: ead205d4
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+  - 256
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+  Add: 14
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+  Equal: 6
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+  Pad: 12
+  Relu: 27
+  Reshape: 60
+  Slice: 24
+  Softmax: 3
+  Split: 3
+  Transpose: 30
+  Where: 6
+parameters: 12488672
+system_info:
+  Memory Info: 62.79 GB
+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
+  Processor: Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
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diff --git a/Computer_Vision/botnet26t_256_Opset18_timm/botnet26t_256_Opset18.onnx b/Computer_Vision/botnet26t_256_Opset18_timm/botnet26t_256_Opset18.onnx
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diff --git a/Computer_Vision/botnet26t_256_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/botnet26t_256_Opset18_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..187634471
--- /dev/null
+++ b/Computer_Vision/botnet26t_256_Opset18_timm/turnkey_stats.yaml
@@ -0,0 +1,217 @@
+author: timm
+builds:
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+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/botnet26t_256.py
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+hash: ead205d4
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+  - 256
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+  Pad: 12
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+  Slice: 24
+  Softmax: 3
+  Split: 3
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+  Where: 6
+parameters: 12488672
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+  OEM System: Virtual Machine
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index 000000000..8b70541ec
--- /dev/null
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diff --git a/Computer_Vision/cait_m48_448_Opset16_timm/cait_m48_448_Opset16.onnx b/Computer_Vision/cait_m48_448_Opset16_timm/cait_m48_448_Opset16.onnx
new file mode 100644
index 000000000..695ef5917
--- /dev/null
+++ b/Computer_Vision/cait_m48_448_Opset16_timm/cait_m48_448_Opset16.onnx
@@ -0,0 +1,3 @@
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diff --git a/Computer_Vision/cait_m48_448_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/cait_m48_448_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..dbbed367d
--- /dev/null
+++ b/Computer_Vision/cait_m48_448_Opset16_timm/turnkey_stats.yaml
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+author: timm
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+    runtime: ort
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diff --git a/Computer_Vision/cait_m48_448_Opset17_timm/cait_m48_448_Opset17.onnx b/Computer_Vision/cait_m48_448_Opset17_timm/cait_m48_448_Opset17.onnx
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new file mode 100644
index 000000000..38e5c4bbd
--- /dev/null
+++ b/Computer_Vision/cait_m48_448_Opset17_timm/turnkey_stats.yaml
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+author: timm
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diff --git a/Computer_Vision/cait_s24_224_Opset18_timm/cait_s24_224_Opset18.onnx b/Computer_Vision/cait_s24_224_Opset18_timm/cait_s24_224_Opset18.onnx
new file mode 100644
index 000000000..129d07181
--- /dev/null
+++ b/Computer_Vision/cait_s24_224_Opset18_timm/cait_s24_224_Opset18.onnx
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diff --git a/Computer_Vision/cait_s24_224_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/cait_s24_224_Opset18_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..f15c0ff28
--- /dev/null
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+author: timm
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new file mode 100644
index 000000000..de924c68c
--- /dev/null
+++ b/Computer_Vision/cait_s24_384_Opset16_timm/turnkey_stats.yaml
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+author: timm
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new file mode 100644
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--- /dev/null
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new file mode 100644
index 000000000..d332ced2e
--- /dev/null
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new file mode 100644
index 000000000..6dda506cb
--- /dev/null
+++ b/Computer_Vision/cait_s36_384_Opset16_timm/turnkey_stats.yaml
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diff --git a/Computer_Vision/cait_s36_384_Opset17_timm/cait_s36_384_Opset17.onnx b/Computer_Vision/cait_s36_384_Opset17_timm/cait_s36_384_Opset17.onnx
new file mode 100644
index 000000000..341c58fc2
--- /dev/null
+++ b/Computer_Vision/cait_s36_384_Opset17_timm/cait_s36_384_Opset17.onnx
@@ -0,0 +1,3 @@
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diff --git a/Computer_Vision/cait_s36_384_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/cait_s36_384_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..172ada4cb
--- /dev/null
+++ b/Computer_Vision/cait_s36_384_Opset17_timm/turnkey_stats.yaml
@@ -0,0 +1,216 @@
+author: timm
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/cait_s36_384.py
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diff --git a/Computer_Vision/cait_s36_384_Opset18_timm/cait_s36_384_Opset18.onnx b/Computer_Vision/cait_s36_384_Opset18_timm/cait_s36_384_Opset18.onnx
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diff --git a/Computer_Vision/cait_s36_384_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/cait_s36_384_Opset18_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..86df341b4
--- /dev/null
+++ b/Computer_Vision/cait_s36_384_Opset18_timm/turnkey_stats.yaml
@@ -0,0 +1,216 @@
+author: timm
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+    runtime: ort
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+hash: '37091286'
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+  - 384
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+  Where: 1
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+  OEM System: Virtual Machine
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index 000000000..18ebb729e
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diff --git a/Computer_Vision/cait_xxs24_224_Opset16_timm/cait_xxs24_224_Opset16.onnx b/Computer_Vision/cait_xxs24_224_Opset16_timm/cait_xxs24_224_Opset16.onnx
new file mode 100644
index 000000000..314f45f18
--- /dev/null
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diff --git a/Computer_Vision/cait_xxs24_224_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/cait_xxs24_224_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..2e31bbbe5
--- /dev/null
+++ b/Computer_Vision/cait_xxs24_224_Opset16_timm/turnkey_stats.yaml
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+author: timm
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+    runtime: ort
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diff --git a/Computer_Vision/cait_xxs24_224_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/cait_xxs24_224_Opset17_timm/turnkey_stats.yaml
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index 000000000..a77ff7fda
--- /dev/null
+++ b/Computer_Vision/cait_xxs24_224_Opset17_timm/turnkey_stats.yaml
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+author: timm
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diff --git a/Computer_Vision/cait_xxs24_384_Opset18_timm/cait_xxs24_384_Opset18.onnx b/Computer_Vision/cait_xxs24_384_Opset18_timm/cait_xxs24_384_Opset18.onnx
new file mode 100644
index 000000000..cfc4daff6
--- /dev/null
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diff --git a/Computer_Vision/cait_xxs24_384_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/cait_xxs24_384_Opset18_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..074262576
--- /dev/null
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--- /dev/null
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+author: timm
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index 000000000..bbb9b4458
--- /dev/null
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diff --git a/Computer_Vision/cait_xxs36_384_Opset17_timm/cait_xxs36_384_Opset17.onnx b/Computer_Vision/cait_xxs36_384_Opset17_timm/cait_xxs36_384_Opset17.onnx
new file mode 100644
index 000000000..35b601fe8
--- /dev/null
+++ b/Computer_Vision/cait_xxs36_384_Opset17_timm/cait_xxs36_384_Opset17.onnx
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diff --git a/Computer_Vision/cait_xxs36_384_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/cait_xxs36_384_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..3948b9038
--- /dev/null
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+    runtime: ort
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diff --git a/Computer_Vision/cait_xxs36_384_Opset18_timm/cait_xxs36_384_Opset18.onnx b/Computer_Vision/cait_xxs36_384_Opset18_timm/cait_xxs36_384_Opset18.onnx
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new file mode 100644
index 000000000..14339fccb
--- /dev/null
+++ b/Computer_Vision/cait_xxs36_384_Opset18_timm/turnkey_stats.yaml
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+author: timm
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--- /dev/null
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diff --git a/Computer_Vision/coat_lite_mini_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/coat_lite_mini_Opset16_timm/turnkey_stats.yaml
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index 000000000..8b6bbf54c
--- /dev/null
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index 000000000..38cd09fed
--- /dev/null
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index 000000000..acc472a2e
--- /dev/null
+++ b/Computer_Vision/coat_lite_mini_Opset18_timm/turnkey_stats.yaml
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diff --git a/Computer_Vision/coat_lite_small_Opset16_timm/coat_lite_small_Opset16.onnx b/Computer_Vision/coat_lite_small_Opset16_timm/coat_lite_small_Opset16.onnx
new file mode 100644
index 000000000..8f3ee13dd
--- /dev/null
+++ b/Computer_Vision/coat_lite_small_Opset16_timm/coat_lite_small_Opset16.onnx
@@ -0,0 +1,3 @@
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diff --git a/Computer_Vision/coat_lite_small_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/coat_lite_small_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..bc55085e4
--- /dev/null
+++ b/Computer_Vision/coat_lite_small_Opset16_timm/turnkey_stats.yaml
@@ -0,0 +1,220 @@
+author: timm
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new file mode 100644
index 000000000..b5ae460b5
--- /dev/null
+++ b/Computer_Vision/coat_lite_small_Opset17_timm/turnkey_stats.yaml
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+author: timm
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--- /dev/null
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index 000000000..546259298
--- /dev/null
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index 000000000..30117dc8e
--- /dev/null
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+author: timm
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index 000000000..1f6c45232
--- /dev/null
+++ b/Computer_Vision/coat_lite_tiny_Opset17_timm/turnkey_stats.yaml
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diff --git a/Computer_Vision/coat_lite_tiny_Opset18_timm/coat_lite_tiny_Opset18.onnx b/Computer_Vision/coat_lite_tiny_Opset18_timm/coat_lite_tiny_Opset18.onnx
new file mode 100644
index 000000000..b89221e3f
--- /dev/null
+++ b/Computer_Vision/coat_lite_tiny_Opset18_timm/coat_lite_tiny_Opset18.onnx
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diff --git a/Computer_Vision/coat_lite_tiny_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/coat_lite_tiny_Opset18_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..dacbfe3d2
--- /dev/null
+++ b/Computer_Vision/coat_lite_tiny_Opset18_timm/turnkey_stats.yaml
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+author: timm
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index 000000000..2aa5f4469
--- /dev/null
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diff --git a/Computer_Vision/coat_mini_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/coat_mini_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..6a6e848f8
--- /dev/null
+++ b/Computer_Vision/coat_mini_Opset16_timm/turnkey_stats.yaml
@@ -0,0 +1,223 @@
+author: timm
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+  Squeeze: 79
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+  OEM System: Virtual Machine
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diff --git a/Computer_Vision/coat_mini_Opset17_timm/coat_mini_Opset17.onnx b/Computer_Vision/coat_mini_Opset17_timm/coat_mini_Opset17.onnx
new file mode 100644
index 000000000..379a3cbe7
--- /dev/null
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index 000000000..82ccd2a08
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index 000000000..1fbfbc7f5
--- /dev/null
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--- /dev/null
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new file mode 100644
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index 000000000..c98b400f1
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--- /dev/null
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new file mode 100644
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diff --git a/Computer_Vision/convmixer_1024_20_ks9_p14_Opset18_timm/convmixer_1024_20_ks9_p14_Opset18.onnx b/Computer_Vision/convmixer_1024_20_ks9_p14_Opset18_timm/convmixer_1024_20_ks9_p14_Opset18.onnx
new file mode 100644
index 000000000..c58dd6a26
--- /dev/null
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diff --git a/Computer_Vision/convmixer_1024_20_ks9_p14_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/convmixer_1024_20_ks9_p14_Opset18_timm/turnkey_stats.yaml
new file mode 100644
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--- /dev/null
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diff --git a/Computer_Vision/convmixer_1536_20_Opset17_timm/convmixer_1536_20_Opset17.onnx b/Computer_Vision/convmixer_1536_20_Opset17_timm/convmixer_1536_20_Opset17.onnx
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--- /dev/null
+++ b/Computer_Vision/convmixer_1536_20_Opset17_timm/convmixer_1536_20_Opset17.onnx
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diff --git a/Computer_Vision/convmixer_1536_20_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/convmixer_1536_20_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..57539b3ac
--- /dev/null
+++ b/Computer_Vision/convmixer_1536_20_Opset17_timm/turnkey_stats.yaml
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+hash: 833fc12b
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diff --git a/Computer_Vision/convmixer_1536_20_Opset18_timm/convmixer_1536_20_Opset18.onnx b/Computer_Vision/convmixer_1536_20_Opset18_timm/convmixer_1536_20_Opset18.onnx
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new file mode 100644
index 000000000..9f9c750e1
--- /dev/null
+++ b/Computer_Vision/convmixer_1536_20_Opset18_timm/turnkey_stats.yaml
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diff --git a/Computer_Vision/convmixer_768_32_Opset16_timm/convmixer_768_32_Opset16.onnx b/Computer_Vision/convmixer_768_32_Opset16_timm/convmixer_768_32_Opset16.onnx
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diff --git a/Computer_Vision/convmixer_768_32_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/convmixer_768_32_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..3bd45988d
--- /dev/null
+++ b/Computer_Vision/convmixer_768_32_Opset16_timm/turnkey_stats.yaml
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diff --git a/Computer_Vision/convmixer_768_32_Opset17_timm/convmixer_768_32_Opset17.onnx b/Computer_Vision/convmixer_768_32_Opset17_timm/convmixer_768_32_Opset17.onnx
new file mode 100644
index 000000000..8d72752a4
--- /dev/null
+++ b/Computer_Vision/convmixer_768_32_Opset17_timm/convmixer_768_32_Opset17.onnx
@@ -0,0 +1,3 @@
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diff --git a/Computer_Vision/convmixer_768_32_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/convmixer_768_32_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..4ddbe4916
--- /dev/null
+++ b/Computer_Vision/convmixer_768_32_Opset17_timm/turnkey_stats.yaml
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+author: timm
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+    runtime: ort
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+hash: f0cf9e98
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diff --git a/Computer_Vision/convmixer_768_32_Opset18_timm/convmixer_768_32_Opset18.onnx b/Computer_Vision/convmixer_768_32_Opset18_timm/convmixer_768_32_Opset18.onnx
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new file mode 100644
index 000000000..e9f2730ab
--- /dev/null
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new file mode 100644
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--- /dev/null
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new file mode 100644
index 000000000..7626a42ed
--- /dev/null
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new file mode 100644
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--- /dev/null
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diff --git a/Computer_Vision/convnext_large_Opset17_torch_hub/turnkey_stats.yaml b/Computer_Vision/convnext_large_Opset17_torch_hub/turnkey_stats.yaml
new file mode 100644
index 000000000..07fab5597
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index 000000000..eecff13ff
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new file mode 100644
index 000000000..f6b89ebe9
--- /dev/null
+++ b/Computer_Vision/convnext_small_Opset16_timm/convnext_small_Opset16.onnx
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diff --git a/Computer_Vision/convnext_small_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/convnext_small_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..236881cd0
--- /dev/null
+++ b/Computer_Vision/convnext_small_Opset16_timm/turnkey_stats.yaml
@@ -0,0 +1,208 @@
+author: timm
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diff --git a/Computer_Vision/convnext_small_Opset16_torch_hub/turnkey_stats.yaml b/Computer_Vision/convnext_small_Opset16_torch_hub/turnkey_stats.yaml
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index 000000000..6115fa4a3
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index 000000000..5248946c1
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diff --git a/Computer_Vision/convnext_xlarge_384_in22ft1k_Opset17_timm/convnext_xlarge_384_in22ft1k_Opset17.onnx b/Computer_Vision/convnext_xlarge_384_in22ft1k_Opset17_timm/convnext_xlarge_384_in22ft1k_Opset17.onnx
new file mode 100644
index 000000000..37316a5fc
--- /dev/null
+++ b/Computer_Vision/convnext_xlarge_384_in22ft1k_Opset17_timm/convnext_xlarge_384_in22ft1k_Opset17.onnx
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diff --git a/Computer_Vision/convnext_xlarge_384_in22ft1k_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/convnext_xlarge_384_in22ft1k_Opset17_timm/turnkey_stats.yaml
new file mode 100644
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--- /dev/null
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diff --git a/Computer_Vision/convnext_xlarge_in22k_Opset16_timm/convnext_xlarge_in22k_Opset16.onnx b/Computer_Vision/convnext_xlarge_in22k_Opset16_timm/convnext_xlarge_in22k_Opset16.onnx
new file mode 100644
index 000000000..310a53ec3
--- /dev/null
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new file mode 100644
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diff --git a/Computer_Vision/crossvit_15_dagger_240_Opset16_timm/crossvit_15_dagger_240_Opset16.onnx b/Computer_Vision/crossvit_15_dagger_240_Opset16_timm/crossvit_15_dagger_240_Opset16.onnx
new file mode 100644
index 000000000..165bdb675
--- /dev/null
+++ b/Computer_Vision/crossvit_15_dagger_240_Opset16_timm/crossvit_15_dagger_240_Opset16.onnx
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diff --git a/Computer_Vision/crossvit_15_dagger_240_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/crossvit_15_dagger_240_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..0501687f7
--- /dev/null
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new file mode 100644
index 000000000..e6e6b667e
--- /dev/null
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diff --git a/Computer_Vision/crossvit_18_240_Opset17_timm/crossvit_18_240_Opset17.onnx b/Computer_Vision/crossvit_18_240_Opset17_timm/crossvit_18_240_Opset17.onnx
new file mode 100644
index 000000000..604d8b39a
--- /dev/null
+++ b/Computer_Vision/crossvit_18_240_Opset17_timm/crossvit_18_240_Opset17.onnx
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diff --git a/Computer_Vision/crossvit_18_240_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/crossvit_18_240_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..50cf62491
--- /dev/null
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new file mode 100644
index 000000000..012c8e320
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diff --git a/Computer_Vision/crossvit_9_240_Opset16_timm/crossvit_9_240_Opset16.onnx b/Computer_Vision/crossvit_9_240_Opset16_timm/crossvit_9_240_Opset16.onnx
new file mode 100644
index 000000000..646a26afe
--- /dev/null
+++ b/Computer_Vision/crossvit_9_240_Opset16_timm/crossvit_9_240_Opset16.onnx
@@ -0,0 +1,3 @@
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+size 34487149
diff --git a/Computer_Vision/crossvit_9_240_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/crossvit_9_240_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..a92a8b216
--- /dev/null
+++ b/Computer_Vision/crossvit_9_240_Opset16_timm/turnkey_stats.yaml
@@ -0,0 +1,221 @@
+author: timm
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+      set_success: 0.016932010650634766
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/crossvit_9_240.py
+class: CrossVit
+hash: 29af060f
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+  - 1
+  - 3
+  - 240
+  - 240
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+  Add: 228
+  Cast: 12
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+  Expand: 2
+  Gather: 2
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+  Mul: 124
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+  Split: 12
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+  Squeeze: 36
+  Sub: 44
+  Transpose: 62
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+  Where: 2
+parameters: 8553296
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+task: Computer_Vision
diff --git a/Computer_Vision/crossvit_9_240_Opset17_timm/crossvit_9_240_Opset17.onnx b/Computer_Vision/crossvit_9_240_Opset17_timm/crossvit_9_240_Opset17.onnx
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--- /dev/null
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diff --git a/Computer_Vision/crossvit_9_240_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/crossvit_9_240_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..447b6ad6f
--- /dev/null
+++ b/Computer_Vision/crossvit_9_240_Opset17_timm/turnkey_stats.yaml
@@ -0,0 +1,220 @@
+author: timm
+builds:
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+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/crossvit_9_240.py
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+hash: 29af060f
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+  - 240
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+  Sqrt: 36
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+  Transpose: 62
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+  Where: 2
+parameters: 8553296
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diff --git a/Computer_Vision/crossvit_base_240_Opset17_timm/crossvit_base_240_Opset17.onnx b/Computer_Vision/crossvit_base_240_Opset17_timm/crossvit_base_240_Opset17.onnx
new file mode 100644
index 000000000..919ffeee9
--- /dev/null
+++ b/Computer_Vision/crossvit_base_240_Opset17_timm/crossvit_base_240_Opset17.onnx
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diff --git a/Computer_Vision/crossvit_base_240_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/crossvit_base_240_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..64a63be15
--- /dev/null
+++ b/Computer_Vision/crossvit_base_240_Opset17_timm/turnkey_stats.yaml
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+author: timm
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new file mode 100644
index 000000000..7251d6ffa
--- /dev/null
+++ b/Computer_Vision/crossvit_small_240_Opset16_timm/turnkey_stats.yaml
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+author: timm
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diff --git a/Computer_Vision/cs3darknet_focus_l_Opset16_timm/cs3darknet_focus_l_Opset16.onnx b/Computer_Vision/cs3darknet_focus_l_Opset16_timm/cs3darknet_focus_l_Opset16.onnx
new file mode 100644
index 000000000..65b53d99b
--- /dev/null
+++ b/Computer_Vision/cs3darknet_focus_l_Opset16_timm/cs3darknet_focus_l_Opset16.onnx
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9395b7707decb55c94da47b1fee96c68a814a7f0db4fcf7518bbbd4714004618
+size 84597685
diff --git a/Computer_Vision/cs3darknet_focus_l_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/cs3darknet_focus_l_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..c798aba6b
--- /dev/null
+++ b/Computer_Vision/cs3darknet_focus_l_Opset16_timm/turnkey_stats.yaml
@@ -0,0 +1,203 @@
+author: timm
+builds:
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/cs3darknet_focus_l.py
+class: CspNet
+hash: e804593d
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+  x:
+  - 1
+  - 3
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+  - 256
+onnx_model_information:
+  ir_version: 8
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+  size on disk (KiB): 82614.959
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+  Add: 21
+  Concat: 4
+  Constant: 4
+  Conv: 55
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+  Gemm: 1
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+  Mul: 55
+  Sigmoid: 55
+  Split: 4
+parameters: 21151720
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+  OEM System: Virtual Machine
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diff --git a/Computer_Vision/cs3darknet_focus_l_Opset17_timm/cs3darknet_focus_l_Opset17.onnx b/Computer_Vision/cs3darknet_focus_l_Opset17_timm/cs3darknet_focus_l_Opset17.onnx
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--- /dev/null
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diff --git a/Computer_Vision/cs3darknet_focus_l_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/cs3darknet_focus_l_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..5f6adc70c
--- /dev/null
+++ b/Computer_Vision/cs3darknet_focus_l_Opset17_timm/turnkey_stats.yaml
@@ -0,0 +1,203 @@
+author: timm
+builds:
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+    - set_success
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+      set_success: 0.016187667846679688
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/cs3darknet_focus_l.py
+class: CspNet
+hash: e804593d
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+  - 1
+  - 3
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+  - 256
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+  opset: 17
+  size on disk (KiB): 82614.959
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+  Concat: 4
+  Constant: 4
+  Conv: 55
+  Flatten: 1
+  Gemm: 1
+  GlobalAveragePool: 1
+  Mul: 55
+  Sigmoid: 55
+  Split: 4
+parameters: 21151720
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+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
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diff --git a/Computer_Vision/cs3darknet_focus_l_Opset18_timm/cs3darknet_focus_l_Opset18.onnx b/Computer_Vision/cs3darknet_focus_l_Opset18_timm/cs3darknet_focus_l_Opset18.onnx
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diff --git a/Computer_Vision/cs3darknet_focus_l_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/cs3darknet_focus_l_Opset18_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..f73093709
--- /dev/null
+++ b/Computer_Vision/cs3darknet_focus_l_Opset18_timm/turnkey_stats.yaml
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index 000000000..9114d7f79
--- /dev/null
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diff --git a/Computer_Vision/cs3darknet_focus_m_Opset17_timm/cs3darknet_focus_m_Opset17.onnx b/Computer_Vision/cs3darknet_focus_m_Opset17_timm/cs3darknet_focus_m_Opset17.onnx
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index 000000000..c8a5653d9
--- /dev/null
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diff --git a/Computer_Vision/cs3darknet_focus_m_Opset18_timm/cs3darknet_focus_m_Opset18.onnx b/Computer_Vision/cs3darknet_focus_m_Opset18_timm/cs3darknet_focus_m_Opset18.onnx
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index 000000000..3791e1696
--- /dev/null
+++ b/Computer_Vision/cs3darknet_focus_m_Opset18_timm/cs3darknet_focus_m_Opset18.onnx
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diff --git a/Computer_Vision/cs3darknet_focus_m_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/cs3darknet_focus_m_Opset18_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..dec2e0089
--- /dev/null
+++ b/Computer_Vision/cs3darknet_focus_m_Opset18_timm/turnkey_stats.yaml
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+author: timm
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+    runtime: ort
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+hash: 929dbbb3
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diff --git a/Computer_Vision/cs3darknet_l_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/cs3darknet_l_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..e380049d8
--- /dev/null
+++ b/Computer_Vision/cs3darknet_l_Opset16_timm/turnkey_stats.yaml
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+author: timm
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+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/cs3darknet_l.py
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diff --git a/Computer_Vision/cs3darknet_l_Opset17_timm/cs3darknet_l_Opset17.onnx b/Computer_Vision/cs3darknet_l_Opset17_timm/cs3darknet_l_Opset17.onnx
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new file mode 100644
index 000000000..e0c971bc8
--- /dev/null
+++ b/Computer_Vision/cs3darknet_l_Opset17_timm/turnkey_stats.yaml
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+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/cs3darknet_l.py
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index 000000000..3ff8c588b
--- /dev/null
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diff --git a/Computer_Vision/cs3darknet_m_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/cs3darknet_m_Opset16_timm/turnkey_stats.yaml
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index 000000000..b2a8e07ba
--- /dev/null
+++ b/Computer_Vision/cs3darknet_m_Opset16_timm/turnkey_stats.yaml
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+author: timm
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+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/cs3darknet_m.py
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--- /dev/null
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diff --git a/Computer_Vision/cs3darknet_m_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/cs3darknet_m_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..a47ab0b9d
--- /dev/null
+++ b/Computer_Vision/cs3darknet_m_Opset17_timm/turnkey_stats.yaml
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+    runtime: ort
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index 000000000..537b5eeff
--- /dev/null
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diff --git a/Computer_Vision/cs3darknet_x_Opset16_timm/cs3darknet_x_Opset16.onnx b/Computer_Vision/cs3darknet_x_Opset16_timm/cs3darknet_x_Opset16.onnx
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diff --git a/Computer_Vision/cs3darknet_x_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/cs3darknet_x_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..9d9a71579
--- /dev/null
+++ b/Computer_Vision/cs3darknet_x_Opset16_timm/turnkey_stats.yaml
@@ -0,0 +1,203 @@
+author: timm
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+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/cs3darknet_x.py
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+system_info:
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+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
+  Processor: Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
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+  - typeguard==4.1.5
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+  - xxhash==3.4.1
+  - yacs==0.1.8
+  - yarl==1.9.2
+  - zipp==3.17.0
+task: Computer_Vision
diff --git a/Computer_Vision/cs3darknet_x_Opset17_timm/cs3darknet_x_Opset17.onnx b/Computer_Vision/cs3darknet_x_Opset17_timm/cs3darknet_x_Opset17.onnx
new file mode 100644
index 000000000..d1f3ab5f4
--- /dev/null
+++ b/Computer_Vision/cs3darknet_x_Opset17_timm/cs3darknet_x_Opset17.onnx
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e67894854dfef9cd74718aeb666b3e206615cafd012b29e19196900b9ee692be
+size 140160966
diff --git a/Computer_Vision/cs3darknet_x_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/cs3darknet_x_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..0ade2bc98
--- /dev/null
+++ b/Computer_Vision/cs3darknet_x_Opset17_timm/turnkey_stats.yaml
@@ -0,0 +1,203 @@
+author: timm
+builds:
+  x86_ort:
+    all_build_stages:
+    - export_pytorch
+    - set_success
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+      set_success: 0.017495155334472656
+    device_type: x86
+    iterations: 100
+    onnx_file: /home/azureuser/.cache/turnkey/cs3darknet_x_timm_dd2e0eab/onnx/cs3darknet_x_timm_dd2e0eab-op17-base.onnx
+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/cs3darknet_x.py
+class: CspNet
+hash: 4b451f3e
+model_name: cs3darknet_x
+onnx_input_dimensions:
+  x:
+  - 1
+  - 3
+  - 256
+  - 256
+onnx_model_information:
+  ir_version: 8
+  opset: 17
+  size on disk (KiB): 136875.9756
+onnx_ops_counter:
+  Add: 24
+  Concat: 4
+  Constant: 4
+  Conv: 62
+  Flatten: 1
+  Gemm: 1
+  GlobalAveragePool: 1
+  Mul: 62
+  Sigmoid: 62
+  Split: 4
+parameters: 35046320
+system_info:
+  Memory Info: 62.79 GB
+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
+  Processor: Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
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+  - jinja2==3.1.2
+  - markdown==3.5.1
+  - markupsafe==2.1.3
+  - pillow==10.1.0
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+  - xxhash==3.4.1
+  - yacs==0.1.8
+  - yarl==1.9.2
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+task: Computer_Vision
diff --git a/Computer_Vision/cs3darknet_x_Opset18_timm/cs3darknet_x_Opset18.onnx b/Computer_Vision/cs3darknet_x_Opset18_timm/cs3darknet_x_Opset18.onnx
new file mode 100644
index 000000000..4a30a18f6
--- /dev/null
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+version https://git-lfs.github.com/spec/v1
+oid sha256:3c9a50bcf932e580e99662b2ddac3549a8ff285372aab259ce1240e0d9e617bf
+size 140160966
diff --git a/Computer_Vision/cs3darknet_x_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/cs3darknet_x_Opset18_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..b13c02106
--- /dev/null
+++ b/Computer_Vision/cs3darknet_x_Opset18_timm/turnkey_stats.yaml
@@ -0,0 +1,203 @@
+author: timm
+builds:
+  x86_ort:
+    all_build_stages:
+    - export_pytorch
+    - set_success
+    benchmark_status: successful
+    completed_build_stages:
+      export_pytorch: 2.393162727355957
+      set_success: 0.020334959030151367
+    device_type: x86
+    iterations: 100
+    onnx_file: /home/azureuser/.cache/turnkey/cs3darknet_x_timm_dd2e0eab/onnx/cs3darknet_x_timm_dd2e0eab-op18-base.onnx
+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/cs3darknet_x.py
+class: CspNet
+hash: 4b451f3e
+model_name: cs3darknet_x
+onnx_input_dimensions:
+  x:
+  - 1
+  - 3
+  - 256
+  - 256
+onnx_model_information:
+  ir_version: 8
+  opset: 18
+  size on disk (KiB): 136875.9756
+onnx_ops_counter:
+  Add: 24
+  Concat: 4
+  Constant: 4
+  Conv: 62
+  Flatten: 1
+  Gemm: 1
+  GlobalAveragePool: 1
+  Mul: 62
+  Sigmoid: 62
+  Split: 4
+parameters: 35046320
+system_info:
+  Memory Info: 62.79 GB
+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
+  Processor: Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
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+  - jinja2==3.1.2
+  - markdown==3.5.1
+  - markupsafe==2.1.3
+  - pillow==10.1.0
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+  - timm==0.9.8
+  - tokenizers==0.14.1
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+  - torch==2.1.0
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+  - typeguard==4.1.5
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+  - xxhash==3.4.1
+  - yacs==0.1.8
+  - yarl==1.9.2
+  - zipp==3.17.0
+task: Computer_Vision
diff --git a/Computer_Vision/cs3edgenet_x_Opset16_timm/cs3edgenet_x_Opset16.onnx b/Computer_Vision/cs3edgenet_x_Opset16_timm/cs3edgenet_x_Opset16.onnx
new file mode 100644
index 000000000..6319479d7
--- /dev/null
+++ b/Computer_Vision/cs3edgenet_x_Opset16_timm/cs3edgenet_x_Opset16.onnx
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
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+size 191246572
diff --git a/Computer_Vision/cs3edgenet_x_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/cs3edgenet_x_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..37239995e
--- /dev/null
+++ b/Computer_Vision/cs3edgenet_x_Opset16_timm/turnkey_stats.yaml
@@ -0,0 +1,203 @@
+author: timm
+builds:
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+    - set_success
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+      set_success: 0.023427248001098633
+    device_type: x86
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+    onnx_file: /home/azureuser/.cache/turnkey/cs3edgenet_x_timm_b85a5439/onnx/cs3edgenet_x_timm_b85a5439-op16-base.onnx
+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/cs3edgenet_x.py
+class: CspNet
+hash: 59397a04
+model_name: cs3edgenet_x
+onnx_input_dimensions:
+  x:
+  - 1
+  - 3
+  - 256
+  - 256
+onnx_model_information:
+  ir_version: 8
+  opset: 16
+  size on disk (KiB): 186764.2627
+onnx_ops_counter:
+  Add: 24
+  Concat: 4
+  Constant: 4
+  Conv: 62
+  Flatten: 1
+  Gemm: 1
+  GlobalAveragePool: 1
+  Mul: 62
+  Sigmoid: 62
+  Split: 4
+parameters: 47821120
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+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
+  Processor: Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
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diff --git a/Computer_Vision/cs3edgenet_x_Opset17_timm/cs3edgenet_x_Opset17.onnx b/Computer_Vision/cs3edgenet_x_Opset17_timm/cs3edgenet_x_Opset17.onnx
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index 000000000..0579b337e
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diff --git a/Computer_Vision/cs3edgenet_x_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/cs3edgenet_x_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..461fd096a
--- /dev/null
+++ b/Computer_Vision/cs3edgenet_x_Opset17_timm/turnkey_stats.yaml
@@ -0,0 +1,203 @@
+author: timm
+builds:
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+    - set_success
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+      set_success: 0.018449783325195312
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+    onnx_file: /home/azureuser/.cache/turnkey/cs3edgenet_x_timm_b85a5439/onnx/cs3edgenet_x_timm_b85a5439-op17-base.onnx
+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/cs3edgenet_x.py
+class: CspNet
+hash: 59397a04
+model_name: cs3edgenet_x
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+  x:
+  - 1
+  - 3
+  - 256
+  - 256
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+  ir_version: 8
+  opset: 17
+  size on disk (KiB): 186764.2627
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+  Add: 24
+  Concat: 4
+  Constant: 4
+  Conv: 62
+  Flatten: 1
+  Gemm: 1
+  GlobalAveragePool: 1
+  Mul: 62
+  Sigmoid: 62
+  Split: 4
+parameters: 47821120
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+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
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diff --git a/Computer_Vision/cs3edgenet_x_Opset18_timm/cs3edgenet_x_Opset18.onnx b/Computer_Vision/cs3edgenet_x_Opset18_timm/cs3edgenet_x_Opset18.onnx
new file mode 100644
index 000000000..b973cd773
--- /dev/null
+++ b/Computer_Vision/cs3edgenet_x_Opset18_timm/cs3edgenet_x_Opset18.onnx
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+version https://git-lfs.github.com/spec/v1
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diff --git a/Computer_Vision/cs3edgenet_x_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/cs3edgenet_x_Opset18_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..2cb1e41de
--- /dev/null
+++ b/Computer_Vision/cs3edgenet_x_Opset18_timm/turnkey_stats.yaml
@@ -0,0 +1,203 @@
+author: timm
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+      set_success: 0.017142772674560547
+    device_type: x86
+    iterations: 100
+    onnx_file: /home/azureuser/.cache/turnkey/cs3edgenet_x_timm_b85a5439/onnx/cs3edgenet_x_timm_b85a5439-op18-base.onnx
+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/cs3edgenet_x.py
+class: CspNet
+hash: 59397a04
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+  x:
+  - 1
+  - 3
+  - 256
+  - 256
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+  ir_version: 8
+  opset: 18
+  size on disk (KiB): 186764.2627
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+  Concat: 4
+  Constant: 4
+  Conv: 62
+  Flatten: 1
+  Gemm: 1
+  GlobalAveragePool: 1
+  Mul: 62
+  Sigmoid: 62
+  Split: 4
+parameters: 47821120
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+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
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diff --git a/Computer_Vision/cs3se_edgenet_x_Opset16_timm/cs3se_edgenet_x_Opset16.onnx b/Computer_Vision/cs3se_edgenet_x_Opset16_timm/cs3se_edgenet_x_Opset16.onnx
new file mode 100644
index 000000000..f32f0ff6f
--- /dev/null
+++ b/Computer_Vision/cs3se_edgenet_x_Opset16_timm/cs3se_edgenet_x_Opset16.onnx
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
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+size 202893819
diff --git a/Computer_Vision/cs3se_edgenet_x_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/cs3se_edgenet_x_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..7d492f6bd
--- /dev/null
+++ b/Computer_Vision/cs3se_edgenet_x_Opset16_timm/turnkey_stats.yaml
@@ -0,0 +1,204 @@
+author: timm
+builds:
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/cs3se_edgenet_x.py
+class: CspNet
+hash: fd9ebbd1
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+  - 1
+  - 3
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+  - 256
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+  opset: 16
+  size on disk (KiB): 198138.5273
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+  Add: 24
+  Concat: 4
+  Constant: 4
+  Conv: 110
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+  GlobalAveragePool: 1
+  Mul: 110
+  ReduceMean: 24
+  Sigmoid: 110
+  Split: 4
+parameters: 50721584
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+  OEM System: Virtual Machine
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diff --git a/Computer_Vision/cs3se_edgenet_x_Opset17_timm/cs3se_edgenet_x_Opset17.onnx b/Computer_Vision/cs3se_edgenet_x_Opset17_timm/cs3se_edgenet_x_Opset17.onnx
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diff --git a/Computer_Vision/cs3se_edgenet_x_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/cs3se_edgenet_x_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..a18057d93
--- /dev/null
+++ b/Computer_Vision/cs3se_edgenet_x_Opset17_timm/turnkey_stats.yaml
@@ -0,0 +1,204 @@
+author: timm
+builds:
+  x86_ort:
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+    - set_success
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+      set_success: 0.02223348617553711
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/cs3se_edgenet_x.py
+class: CspNet
+hash: fd9ebbd1
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+  x:
+  - 1
+  - 3
+  - 256
+  - 256
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+  opset: 17
+  size on disk (KiB): 198138.5273
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+  Constant: 4
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+  Flatten: 1
+  Gemm: 1
+  GlobalAveragePool: 1
+  Mul: 110
+  ReduceMean: 24
+  Sigmoid: 110
+  Split: 4
+parameters: 50721584
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+  Memory Info: 62.79 GB
+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
+  Processor: Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
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diff --git a/Computer_Vision/cs3sedarknet_l_Opset16_timm/cs3sedarknet_l_Opset16.onnx b/Computer_Vision/cs3sedarknet_l_Opset16_timm/cs3sedarknet_l_Opset16.onnx
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index 000000000..457f14c74
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diff --git a/Computer_Vision/cs3sedarknet_l_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/cs3sedarknet_l_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..23ede8cc6
--- /dev/null
+++ b/Computer_Vision/cs3sedarknet_l_Opset16_timm/turnkey_stats.yaml
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/cs3sedarknet_l.py
+class: CspNet
+hash: 9538eaf4
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+  x:
+  - 1
+  - 3
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+  - 256
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+  opset: 16
+  size on disk (KiB): 85630.0303
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+  GlobalAveragePool: 1
+  Mul: 98
+  ReduceMean: 21
+  Sigmoid: 98
+  Split: 4
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diff --git a/Computer_Vision/cs3sedarknet_l_Opset17_timm/cs3sedarknet_l_Opset17.onnx b/Computer_Vision/cs3sedarknet_l_Opset17_timm/cs3sedarknet_l_Opset17.onnx
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new file mode 100644
index 000000000..854181f07
--- /dev/null
+++ b/Computer_Vision/cs3sedarknet_l_Opset17_timm/turnkey_stats.yaml
@@ -0,0 +1,204 @@
+author: timm
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/cs3sedarknet_l.py
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+  - 256
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+parameters: 21913592
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diff --git a/Computer_Vision/cs3sedarknet_x_Opset16_timm/cs3sedarknet_x_Opset16.onnx b/Computer_Vision/cs3sedarknet_x_Opset16_timm/cs3sedarknet_x_Opset16.onnx
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diff --git a/Computer_Vision/cs3sedarknet_x_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/cs3sedarknet_x_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..8d2777fc7
--- /dev/null
+++ b/Computer_Vision/cs3sedarknet_x_Opset16_timm/turnkey_stats.yaml
@@ -0,0 +1,204 @@
+author: timm
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index 000000000..f5684433c
--- /dev/null
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diff --git a/Computer_Vision/cs3sedarknet_x_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/cs3sedarknet_x_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..6e2dee923
--- /dev/null
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index 000000000..3fa90b310
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index 000000000..8f675d3a9
--- /dev/null
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+author: timm
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+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/cspdarknet53.py
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+  Flatten: 1
+  Gemm: 1
+  GlobalAveragePool: 1
+  LeakyRelu: 67
+  Split: 5
+parameters: 27642184
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+  Memory Info: 62.79 GB
+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
+  Processor: Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
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+  - xxhash==3.4.1
+  - yacs==0.1.8
+  - yarl==1.9.2
+  - zipp==3.17.0
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diff --git a/Computer_Vision/cspdarknet53_Opset18_timm/cspdarknet53_Opset18.onnx b/Computer_Vision/cspdarknet53_Opset18_timm/cspdarknet53_Opset18.onnx
new file mode 100644
index 000000000..48284079e
--- /dev/null
+++ b/Computer_Vision/cspdarknet53_Opset18_timm/cspdarknet53_Opset18.onnx
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
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+size 110543147
diff --git a/Computer_Vision/cspdarknet53_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/cspdarknet53_Opset18_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..2b60ef934
--- /dev/null
+++ b/Computer_Vision/cspdarknet53_Opset18_timm/turnkey_stats.yaml
@@ -0,0 +1,202 @@
+author: timm
+builds:
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+    all_build_stages:
+    - export_pytorch
+    - set_success
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+      set_success: 0.024260520935058594
+    device_type: x86
+    iterations: 100
+    onnx_file: /home/azureuser/.cache/turnkey/cspdarknet53_timm_1fcae65c/onnx/cspdarknet53_timm_1fcae65c-op18-base.onnx
+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/cspdarknet53.py
+class: CspNet
+hash: dc75a63d
+model_name: cspdarknet53
+onnx_input_dimensions:
+  x:
+  - 1
+  - 3
+  - 256
+  - 256
+onnx_model_information:
+  ir_version: 8
+  opset: 18
+  size on disk (KiB): 107952.3242
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+  Add: 23
+  Concat: 5
+  Constant: 5
+  Conv: 67
+  Flatten: 1
+  Gemm: 1
+  GlobalAveragePool: 1
+  LeakyRelu: 67
+  Split: 5
+parameters: 27642184
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+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
+  Processor: Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
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diff --git a/Computer_Vision/cspresnet50_Opset16_timm/cspresnet50_Opset16.onnx b/Computer_Vision/cspresnet50_Opset16_timm/cspresnet50_Opset16.onnx
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+version https://git-lfs.github.com/spec/v1
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diff --git a/Computer_Vision/cspresnet50_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/cspresnet50_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..bc392dc7c
--- /dev/null
+++ b/Computer_Vision/cspresnet50_Opset16_timm/turnkey_stats.yaml
@@ -0,0 +1,203 @@
+author: timm
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+      set_success: 0.017090797424316406
+    device_type: x86
+    iterations: 100
+    onnx_file: /home/azureuser/.cache/turnkey/cspresnet50_timm_490c3ef8/onnx/cspresnet50_timm_490c3ef8-op16-base.onnx
+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/cspresnet50.py
+class: CspNet
+hash: 21932b67
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+  - 256
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+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
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+  - xxhash==3.4.1
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+  - yarl==1.9.2
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diff --git a/Computer_Vision/cspresnet50_Opset17_timm/cspresnet50_Opset17.onnx b/Computer_Vision/cspresnet50_Opset17_timm/cspresnet50_Opset17.onnx
new file mode 100644
index 000000000..208794e77
--- /dev/null
+++ b/Computer_Vision/cspresnet50_Opset17_timm/cspresnet50_Opset17.onnx
@@ -0,0 +1,3 @@
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diff --git a/Computer_Vision/cspresnet50_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/cspresnet50_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..a71bbf7e3
--- /dev/null
+++ b/Computer_Vision/cspresnet50_Opset17_timm/turnkey_stats.yaml
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/cspresnet50.py
+class: CspNet
+hash: 21932b67
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+  x:
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+  - 256
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+  Conv: 55
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+  Gemm: 1
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+  Split: 4
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diff --git a/Computer_Vision/cspresnet50_Opset18_timm/cspresnet50_Opset18.onnx b/Computer_Vision/cspresnet50_Opset18_timm/cspresnet50_Opset18.onnx
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diff --git a/Computer_Vision/cspresnet50_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/cspresnet50_Opset18_timm/turnkey_stats.yaml
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index 000000000..b253d27bd
--- /dev/null
+++ b/Computer_Vision/cspresnet50_Opset18_timm/turnkey_stats.yaml
@@ -0,0 +1,203 @@
+author: timm
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/cspresnet50.py
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+hash: 21932b67
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diff --git a/Computer_Vision/cspresnext50_Opset16_timm/cspresnext50_Opset16.onnx b/Computer_Vision/cspresnext50_Opset16_timm/cspresnext50_Opset16.onnx
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index 000000000..d0e8d0cba
--- /dev/null
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diff --git a/Computer_Vision/cspresnext50_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/cspresnext50_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..779f905e2
--- /dev/null
+++ b/Computer_Vision/cspresnext50_Opset16_timm/turnkey_stats.yaml
@@ -0,0 +1,203 @@
+author: timm
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/cspresnext50.py
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+  - xxhash==3.4.1
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+  - yarl==1.9.2
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diff --git a/Computer_Vision/cspresnext50_Opset17_timm/cspresnext50_Opset17.onnx b/Computer_Vision/cspresnext50_Opset17_timm/cspresnext50_Opset17.onnx
new file mode 100644
index 000000000..afb06cf1b
--- /dev/null
+++ b/Computer_Vision/cspresnext50_Opset17_timm/cspresnext50_Opset17.onnx
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
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+size 82199893
diff --git a/Computer_Vision/cspresnext50_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/cspresnext50_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..aa49959f1
--- /dev/null
+++ b/Computer_Vision/cspresnext50_Opset17_timm/turnkey_stats.yaml
@@ -0,0 +1,203 @@
+author: timm
+builds:
+  x86_ort:
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+      set_success: 0.0190274715423584
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/cspresnext50.py
+class: CspNet
+hash: 0e30663e
+model_name: cspresnext50
+onnx_input_dimensions:
+  x:
+  - 1
+  - 3
+  - 256
+  - 256
+onnx_model_information:
+  ir_version: 8
+  opset: 17
+  size on disk (KiB): 80273.3652
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+  Add: 13
+  Concat: 4
+  Constant: 4
+  Conv: 55
+  Flatten: 1
+  Gemm: 1
+  GlobalAveragePool: 1
+  LeakyRelu: 51
+  MaxPool: 1
+  Split: 4
+parameters: 20569896
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+  OEM System: Virtual Machine
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diff --git a/Computer_Vision/cspresnext50_Opset18_timm/cspresnext50_Opset18.onnx b/Computer_Vision/cspresnext50_Opset18_timm/cspresnext50_Opset18.onnx
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diff --git a/Computer_Vision/cspresnext50_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/cspresnext50_Opset18_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..e3ed42b30
--- /dev/null
+++ b/Computer_Vision/cspresnext50_Opset18_timm/turnkey_stats.yaml
@@ -0,0 +1,203 @@
+author: timm
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+      set_success: 0.017356395721435547
+    device_type: x86
+    iterations: 100
+    onnx_file: /home/azureuser/.cache/turnkey/cspresnext50_timm_b9ab23e1/onnx/cspresnext50_timm_b9ab23e1-op18-base.onnx
+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/cspresnext50.py
+class: CspNet
+hash: 0e30663e
+model_name: cspresnext50
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+  x:
+  - 1
+  - 3
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+  - 256
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+  opset: 18
+  size on disk (KiB): 80273.3652
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+  Concat: 4
+  Constant: 4
+  Conv: 55
+  Flatten: 1
+  Gemm: 1
+  GlobalAveragePool: 1
+  LeakyRelu: 51
+  MaxPool: 1
+  Split: 4
+parameters: 20569896
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+  Memory Info: 62.79 GB
+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
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diff --git a/Computer_Vision/darknet53_Opset16_timm/darknet53_Opset16.onnx b/Computer_Vision/darknet53_Opset16_timm/darknet53_Opset16.onnx
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index 000000000..9ebb04a8c
--- /dev/null
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diff --git a/Computer_Vision/darknet53_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/darknet53_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..8d89f396a
--- /dev/null
+++ b/Computer_Vision/darknet53_Opset16_timm/turnkey_stats.yaml
@@ -0,0 +1,199 @@
+author: timm
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+    runtime: ort
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+hash: f06243c0
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+  Conv: 52
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new file mode 100644
index 000000000..a7eb24f59
--- /dev/null
+++ b/Computer_Vision/darknet53_Opset17_timm/darknet53_Opset17.onnx
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diff --git a/Computer_Vision/darknet53_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/darknet53_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..1692e8200
--- /dev/null
+++ b/Computer_Vision/darknet53_Opset17_timm/turnkey_stats.yaml
@@ -0,0 +1,199 @@
+author: timm
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+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/darknet53.py
+class: CspNet
+hash: f06243c0
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+  Conv: 52
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index 000000000..f128b282b
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new file mode 100644
index 000000000..40a41e3ab
--- /dev/null
+++ b/Computer_Vision/darknet53_Opset18_timm/turnkey_stats.yaml
@@ -0,0 +1,199 @@
+author: timm
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/darknet53.py
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+hash: f06243c0
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+  Conv: 52
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new file mode 100644
index 000000000..3d1d19864
--- /dev/null
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diff --git a/Computer_Vision/darknetaa53_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/darknetaa53_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..6f644ce67
--- /dev/null
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/darknetaa53.py
+class: CspNet
+hash: b7009763
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+  - 256
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+  Add: 23
+  AveragePool: 5
+  Conv: 52
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+  GlobalAveragePool: 1
+  LeakyRelu: 52
+parameters: 36022984
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index 000000000..d5f914e3b
--- /dev/null
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+author: timm
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/darknetaa53.py
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+hash: b7009763
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diff --git a/Computer_Vision/darknetaa53_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/darknetaa53_Opset18_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..781689820
--- /dev/null
+++ b/Computer_Vision/darknetaa53_Opset18_timm/turnkey_stats.yaml
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+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/darknetaa53.py
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+hash: b7009763
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new file mode 100644
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--- /dev/null
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new file mode 100644
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--- /dev/null
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diff --git a/Computer_Vision/deit3_base_patch16_224_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/deit3_base_patch16_224_Opset18_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..2c31fa77a
--- /dev/null
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+    runtime: ort
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diff --git a/Computer_Vision/deit3_base_patch16_224_in21ft1k_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/deit3_base_patch16_224_in21ft1k_Opset16_timm/turnkey_stats.yaml
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index 000000000..12987395f
--- /dev/null
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diff --git a/Computer_Vision/deit3_base_patch16_224_in21ft1k_Opset17_timm/deit3_base_patch16_224_in21ft1k_Opset17.onnx b/Computer_Vision/deit3_base_patch16_224_in21ft1k_Opset17_timm/deit3_base_patch16_224_in21ft1k_Opset17.onnx
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diff --git a/Computer_Vision/deit3_base_patch16_224_in21ft1k_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/deit3_base_patch16_224_in21ft1k_Opset17_timm/turnkey_stats.yaml
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--- /dev/null
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diff --git a/Computer_Vision/deit3_base_patch16_224_in21ft1k_Opset18_timm/deit3_base_patch16_224_in21ft1k_Opset18.onnx b/Computer_Vision/deit3_base_patch16_224_in21ft1k_Opset18_timm/deit3_base_patch16_224_in21ft1k_Opset18.onnx
new file mode 100644
index 000000000..e367b4f4c
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diff --git a/Computer_Vision/deit3_base_patch16_224_in21ft1k_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/deit3_base_patch16_224_in21ft1k_Opset18_timm/turnkey_stats.yaml
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--- /dev/null
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+    runtime: ort
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new file mode 100644
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+author: timm
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diff --git a/Computer_Vision/deit3_base_patch16_384_in21ft1k_Opset17_timm/deit3_base_patch16_384_in21ft1k_Opset17.onnx b/Computer_Vision/deit3_base_patch16_384_in21ft1k_Opset17_timm/deit3_base_patch16_384_in21ft1k_Opset17.onnx
new file mode 100644
index 000000000..5f25ac3e3
--- /dev/null
+++ b/Computer_Vision/deit3_base_patch16_384_in21ft1k_Opset17_timm/deit3_base_patch16_384_in21ft1k_Opset17.onnx
@@ -0,0 +1,3 @@
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diff --git a/Computer_Vision/deit3_base_patch16_384_in21ft1k_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/deit3_base_patch16_384_in21ft1k_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..0e262a86f
--- /dev/null
+++ b/Computer_Vision/deit3_base_patch16_384_in21ft1k_Opset17_timm/turnkey_stats.yaml
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+    runtime: ort
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diff --git a/Computer_Vision/deit3_base_patch16_384_in21ft1k_Opset18_timm/deit3_base_patch16_384_in21ft1k_Opset18.onnx b/Computer_Vision/deit3_base_patch16_384_in21ft1k_Opset18_timm/deit3_base_patch16_384_in21ft1k_Opset18.onnx
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diff --git a/Computer_Vision/deit3_base_patch16_384_in21ft1k_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/deit3_base_patch16_384_in21ft1k_Opset18_timm/turnkey_stats.yaml
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+author: timm
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+    runtime: ort
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diff --git a/Computer_Vision/deit3_huge_patch14_224_in21ft1k_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/deit3_huge_patch14_224_in21ft1k_Opset16_timm/turnkey_stats.yaml
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diff --git a/Computer_Vision/deit3_huge_patch14_224_in21ft1k_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/deit3_huge_patch14_224_in21ft1k_Opset18_timm/turnkey_stats.yaml
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--- /dev/null
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+    runtime: ort
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diff --git a/Computer_Vision/deit3_large_patch16_224_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/deit3_large_patch16_224_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..88cfbed14
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+++ b/Computer_Vision/deit3_large_patch16_224_Opset16_timm/turnkey_stats.yaml
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+author: timm
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diff --git a/Computer_Vision/deit3_large_patch16_224_Opset17_timm/deit3_large_patch16_224_Opset17.onnx b/Computer_Vision/deit3_large_patch16_224_Opset17_timm/deit3_large_patch16_224_Opset17.onnx
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diff --git a/Computer_Vision/deit3_large_patch16_224_in21ft1k_Opset17_timm/deit3_large_patch16_224_in21ft1k_Opset17.onnx b/Computer_Vision/deit3_large_patch16_224_in21ft1k_Opset17_timm/deit3_large_patch16_224_in21ft1k_Opset17.onnx
new file mode 100644
index 000000000..10c527e42
--- /dev/null
+++ b/Computer_Vision/deit3_large_patch16_224_in21ft1k_Opset17_timm/deit3_large_patch16_224_in21ft1k_Opset17.onnx
@@ -0,0 +1,3 @@
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diff --git a/Computer_Vision/deit3_large_patch16_224_in21ft1k_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/deit3_large_patch16_224_in21ft1k_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..7352a983c
--- /dev/null
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diff --git a/Computer_Vision/deit3_large_patch16_224_in21ft1k_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/deit3_large_patch16_224_in21ft1k_Opset18_timm/turnkey_stats.yaml
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diff --git a/Computer_Vision/deit3_large_patch16_384_in21ft1k_Opset16_timm/deit3_large_patch16_384_in21ft1k_Opset16.onnx b/Computer_Vision/deit3_large_patch16_384_in21ft1k_Opset16_timm/deit3_large_patch16_384_in21ft1k_Opset16.onnx
new file mode 100644
index 000000000..8119f9758
--- /dev/null
+++ b/Computer_Vision/deit3_large_patch16_384_in21ft1k_Opset16_timm/deit3_large_patch16_384_in21ft1k_Opset16.onnx
@@ -0,0 +1,3 @@
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diff --git a/Computer_Vision/deit3_large_patch16_384_in21ft1k_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/deit3_large_patch16_384_in21ft1k_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..5249e698f
--- /dev/null
+++ b/Computer_Vision/deit3_large_patch16_384_in21ft1k_Opset16_timm/turnkey_stats.yaml
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+    runtime: ort
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+hash: 67cb5ebf
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diff --git a/Computer_Vision/deit3_large_patch16_384_in21ft1k_Opset17_timm/deit3_large_patch16_384_in21ft1k_Opset17.onnx b/Computer_Vision/deit3_large_patch16_384_in21ft1k_Opset17_timm/deit3_large_patch16_384_in21ft1k_Opset17.onnx
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diff --git a/Computer_Vision/deit3_large_patch16_384_in21ft1k_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/deit3_large_patch16_384_in21ft1k_Opset17_timm/turnkey_stats.yaml
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+author: timm
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+    runtime: ort
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diff --git a/Computer_Vision/deit3_small_patch16_224_Opset18_timm/deit3_small_patch16_224_Opset18.onnx b/Computer_Vision/deit3_small_patch16_224_Opset18_timm/deit3_small_patch16_224_Opset18.onnx
new file mode 100644
index 000000000..23747fd5c
--- /dev/null
+++ b/Computer_Vision/deit3_small_patch16_224_Opset18_timm/deit3_small_patch16_224_Opset18.onnx
@@ -0,0 +1,3 @@
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diff --git a/Computer_Vision/deit3_small_patch16_224_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/deit3_small_patch16_224_Opset18_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..5c7295a41
--- /dev/null
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diff --git a/Computer_Vision/deit3_small_patch16_224_in21ft1k_Opset17_timm/deit3_small_patch16_224_in21ft1k_Opset17.onnx b/Computer_Vision/deit3_small_patch16_224_in21ft1k_Opset17_timm/deit3_small_patch16_224_in21ft1k_Opset17.onnx
new file mode 100644
index 000000000..b91c00089
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diff --git a/Computer_Vision/deit3_small_patch16_224_in21ft1k_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/deit3_small_patch16_224_in21ft1k_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..0c2fa6bda
--- /dev/null
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diff --git a/Computer_Vision/deit3_small_patch16_224_in21ft1k_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/deit3_small_patch16_224_in21ft1k_Opset18_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..f1faf0fe3
--- /dev/null
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diff --git a/Computer_Vision/deit3_small_patch16_384_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/deit3_small_patch16_384_Opset16_timm/turnkey_stats.yaml
new file mode 100644
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--- /dev/null
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diff --git a/Computer_Vision/deit3_small_patch16_384_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/deit3_small_patch16_384_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..80713b02d
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new file mode 100644
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diff --git a/Computer_Vision/deit3_small_patch16_384_in21ft1k_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/deit3_small_patch16_384_in21ft1k_Opset16_timm/turnkey_stats.yaml
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diff --git a/Computer_Vision/deit3_small_patch16_384_in21ft1k_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/deit3_small_patch16_384_in21ft1k_Opset17_timm/turnkey_stats.yaml
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diff --git a/Computer_Vision/deit3_small_patch16_384_in21ft1k_Opset18_timm/deit3_small_patch16_384_in21ft1k_Opset18.onnx b/Computer_Vision/deit3_small_patch16_384_in21ft1k_Opset18_timm/deit3_small_patch16_384_in21ft1k_Opset18.onnx
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diff --git a/Computer_Vision/deit_base_distilled_patch16_224_Opset18_timm/deit_base_distilled_patch16_224_Opset18.onnx b/Computer_Vision/deit_base_distilled_patch16_224_Opset18_timm/deit_base_distilled_patch16_224_Opset18.onnx
new file mode 100644
index 000000000..953e6d2b5
--- /dev/null
+++ b/Computer_Vision/deit_base_distilled_patch16_224_Opset18_timm/deit_base_distilled_patch16_224_Opset18.onnx
@@ -0,0 +1,3 @@
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diff --git a/Computer_Vision/deit_base_distilled_patch16_224_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/deit_base_distilled_patch16_224_Opset18_timm/turnkey_stats.yaml
new file mode 100644
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--- /dev/null
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+author: timm
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/deit_base_distilled_patch16_224.py
+class: VisionTransformerDistilled
+hash: e2a3bbaa
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+  - 224
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+  Shape: 13
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+  Softmax: 12
+  Split: 12
+  Sqrt: 36
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+  Transpose: 37
+  Where: 2
+parameters: 87338192
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diff --git a/Computer_Vision/deit_base_distilled_patch16_384_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/deit_base_distilled_patch16_384_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..4abecd7f3
--- /dev/null
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+author: timm
+builds:
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+    runtime: ort
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+hash: e2a3bbaa
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+  - 384
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diff --git a/Computer_Vision/deit_base_distilled_patch16_384_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/deit_base_distilled_patch16_384_Opset17_timm/turnkey_stats.yaml
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diff --git a/Computer_Vision/deit_base_distilled_patch16_384_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/deit_base_distilled_patch16_384_Opset18_timm/turnkey_stats.yaml
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+author: timm
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diff --git a/Computer_Vision/deit_base_patch16_224_Opset16_timm/deit_base_patch16_224_Opset16.onnx b/Computer_Vision/deit_base_patch16_224_Opset16_timm/deit_base_patch16_224_Opset16.onnx
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diff --git a/Computer_Vision/deit_base_patch16_224_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/deit_base_patch16_224_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..dc3140ea0
--- /dev/null
+++ b/Computer_Vision/deit_base_patch16_224_Opset16_timm/turnkey_stats.yaml
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+author: timm
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+  OEM System: Virtual Machine
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diff --git a/Computer_Vision/deit_base_patch16_224_Opset17_timm/deit_base_patch16_224_Opset17.onnx b/Computer_Vision/deit_base_patch16_224_Opset17_timm/deit_base_patch16_224_Opset17.onnx
new file mode 100644
index 000000000..09caaa0ee
--- /dev/null
+++ b/Computer_Vision/deit_base_patch16_224_Opset17_timm/deit_base_patch16_224_Opset17.onnx
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
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+size 346368034
diff --git a/Computer_Vision/deit_base_patch16_224_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/deit_base_patch16_224_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..c9f7a681b
--- /dev/null
+++ b/Computer_Vision/deit_base_patch16_224_Opset17_timm/turnkey_stats.yaml
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+author: timm
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/deit_base_patch16_224.py
+class: VisionTransformer
+hash: 5a3b76a4
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+  - 224
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+  Mul: 49
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+  Shape: 13
+  Slice: 13
+  Softmax: 12
+  Split: 12
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+  Transpose: 37
+  Where: 1
+parameters: 86567656
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+  Memory Info: 62.79 GB
+  OEM System: Virtual Machine
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diff --git a/Computer_Vision/deit_base_patch16_224_Opset18_timm/deit_base_patch16_224_Opset18.onnx b/Computer_Vision/deit_base_patch16_224_Opset18_timm/deit_base_patch16_224_Opset18.onnx
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new file mode 100644
index 000000000..25eeeccf9
--- /dev/null
+++ b/Computer_Vision/deit_base_patch16_224_Opset18_timm/turnkey_stats.yaml
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+author: timm
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+    runtime: ort
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+hash: 5a3b76a4
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+  - 224
+  - 224
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+  Shape: 13
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+  Squeeze: 36
+  Transpose: 37
+  Where: 1
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--- /dev/null
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diff --git a/Computer_Vision/deit_base_patch16_384_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/deit_base_patch16_384_Opset16_timm/turnkey_stats.yaml
new file mode 100644
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new file mode 100644
index 000000000..975c96afe
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new file mode 100644
index 000000000..c0e3bd383
--- /dev/null
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diff --git a/Computer_Vision/deit_small_distilled_patch16_224_Opset16_timm/deit_small_distilled_patch16_224_Opset16.onnx b/Computer_Vision/deit_small_distilled_patch16_224_Opset16_timm/deit_small_distilled_patch16_224_Opset16.onnx
new file mode 100644
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diff --git a/Computer_Vision/deit_small_distilled_patch16_224_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/deit_small_distilled_patch16_224_Opset16_timm/turnkey_stats.yaml
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diff --git a/Computer_Vision/deit_small_patch16_224_Opset18_timm/deit_small_patch16_224_Opset18.onnx b/Computer_Vision/deit_small_patch16_224_Opset18_timm/deit_small_patch16_224_Opset18.onnx
new file mode 100644
index 000000000..a4a4f00b0
--- /dev/null
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diff --git a/Computer_Vision/deit_small_patch16_224_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/deit_small_patch16_224_Opset18_timm/turnkey_stats.yaml
new file mode 100644
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--- /dev/null
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diff --git a/Computer_Vision/deit_tiny_patch16_224_Opset17_timm/deit_tiny_patch16_224_Opset17.onnx b/Computer_Vision/deit_tiny_patch16_224_Opset17_timm/deit_tiny_patch16_224_Opset17.onnx
new file mode 100644
index 000000000..111f78c82
--- /dev/null
+++ b/Computer_Vision/deit_tiny_patch16_224_Opset17_timm/deit_tiny_patch16_224_Opset17.onnx
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diff --git a/Computer_Vision/deit_tiny_patch16_224_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/deit_tiny_patch16_224_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..afd39ddf7
--- /dev/null
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new file mode 100644
index 000000000..4ea4895a4
--- /dev/null
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index 000000000..5b93416a6
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index 000000000..ae70fe92f
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--- /dev/null
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diff --git a/Computer_Vision/densenet121_Opset17_torch_hub/turnkey_stats.yaml b/Computer_Vision/densenet121_Opset17_torch_hub/turnkey_stats.yaml
new file mode 100644
index 000000000..e042b862b
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diff --git a/Computer_Vision/densenet121_Opset18_torch_hub/densenet121_Opset18.onnx b/Computer_Vision/densenet121_Opset18_torch_hub/densenet121_Opset18.onnx
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index 000000000..d8573fe06
--- /dev/null
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index 000000000..06ec3b092
--- /dev/null
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diff --git a/Computer_Vision/densenet161_Opset18_torch_hub/densenet161_Opset18.onnx b/Computer_Vision/densenet161_Opset18_torch_hub/densenet161_Opset18.onnx
new file mode 100644
index 000000000..fafd875f0
--- /dev/null
+++ b/Computer_Vision/densenet161_Opset18_torch_hub/densenet161_Opset18.onnx
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diff --git a/Computer_Vision/densenet161_Opset18_torch_hub/turnkey_stats.yaml b/Computer_Vision/densenet161_Opset18_torch_hub/turnkey_stats.yaml
new file mode 100644
index 000000000..c8d74942a
--- /dev/null
+++ b/Computer_Vision/densenet161_Opset18_torch_hub/turnkey_stats.yaml
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+author: torch_hub
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/torch_hub/densenet161.py
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+hash: 6c360ce5
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diff --git a/Computer_Vision/densenet169_Opset16_timm/densenet169_Opset16.onnx b/Computer_Vision/densenet169_Opset16_timm/densenet169_Opset16.onnx
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diff --git a/Computer_Vision/densenet169_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/densenet169_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..95230c386
--- /dev/null
+++ b/Computer_Vision/densenet169_Opset16_timm/turnkey_stats.yaml
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+author: timm
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index 000000000..3fc12dc74
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index 000000000..725d36e07
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diff --git a/Computer_Vision/densenet201_Opset16_torch_hub/densenet201_Opset16.onnx b/Computer_Vision/densenet201_Opset16_torch_hub/densenet201_Opset16.onnx
new file mode 100644
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--- /dev/null
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diff --git a/Computer_Vision/densenet201_Opset16_torch_hub/turnkey_stats.yaml b/Computer_Vision/densenet201_Opset16_torch_hub/turnkey_stats.yaml
new file mode 100644
index 000000000..0c1c274a4
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index 000000000..3b93e8d98
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index 000000000..3ba73c0cd
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index 000000000..b87549ef4
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diff --git a/Computer_Vision/densenetblur121d_Opset16_timm/densenetblur121d_Opset16.onnx b/Computer_Vision/densenetblur121d_Opset16_timm/densenetblur121d_Opset16.onnx
new file mode 100644
index 000000000..86e33fcc8
--- /dev/null
+++ b/Computer_Vision/densenetblur121d_Opset16_timm/densenetblur121d_Opset16.onnx
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6855172f1aeef77c8a3baf02e2ba9380824e3389f54f007c58806f54b1551f98
+size 32393120
diff --git a/Computer_Vision/densenetblur121d_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/densenetblur121d_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..40323255f
--- /dev/null
+++ b/Computer_Vision/densenetblur121d_Opset16_timm/turnkey_stats.yaml
@@ -0,0 +1,209 @@
+author: timm
+builds:
+  x86_ort:
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+    - export_pytorch
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+      set_success: 0.018305063247680664
+    device_type: x86
+    iterations: 100
+    onnx_file: /home/azureuser/.cache/turnkey/densenetblur121d_timm_d0cd5f0b/onnx/densenetblur121d_timm_d0cd5f0b-op16-base.onnx
+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/densenetblur121d.py
+class: DenseNet
+hash: dbdfcae4
+model_name: densenetblur121d
+onnx_input_dimensions:
+  x:
+  - 1
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+  - 224
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+  MaxPool: 1
+  Pad: 1
+  Relu: 123
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+  Transpose: 1
+parameters: 7998088
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+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
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diff --git a/Computer_Vision/densenetblur121d_Opset17_timm/densenetblur121d_Opset17.onnx b/Computer_Vision/densenetblur121d_Opset17_timm/densenetblur121d_Opset17.onnx
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index 000000000..0de2d8445
--- /dev/null
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diff --git a/Computer_Vision/densenetblur121d_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/densenetblur121d_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..7feb8de84
--- /dev/null
+++ b/Computer_Vision/densenetblur121d_Opset17_timm/turnkey_stats.yaml
@@ -0,0 +1,209 @@
+author: timm
+builds:
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+      set_success: 0.020451784133911133
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/densenetblur121d.py
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+hash: dbdfcae4
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+  - 224
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+  GlobalAveragePool: 1
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+  Relu: 123
+  Reshape: 2
+  Slice: 1
+  Transpose: 1
+parameters: 7998088
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+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
+  Processor: Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
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diff --git a/Computer_Vision/densenetblur121d_Opset18_timm/densenetblur121d_Opset18.onnx b/Computer_Vision/densenetblur121d_Opset18_timm/densenetblur121d_Opset18.onnx
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diff --git a/Computer_Vision/densenetblur121d_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/densenetblur121d_Opset18_timm/turnkey_stats.yaml
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index 000000000..fbc3fd830
--- /dev/null
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index 000000000..f1d90d808
--- /dev/null
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new file mode 100644
index 000000000..43821feba
--- /dev/null
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diff --git a/Computer_Vision/dla102_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/dla102_Opset18_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..d14df2a11
--- /dev/null
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index 000000000..8018393d9
--- /dev/null
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diff --git a/Computer_Vision/dla102x2_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/dla102x2_Opset17_timm/turnkey_stats.yaml
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index 000000000..b76a851c8
--- /dev/null
+++ b/Computer_Vision/dla102x2_Opset17_timm/turnkey_stats.yaml
@@ -0,0 +1,200 @@
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+task: Computer_Vision
diff --git a/Computer_Vision/dla102x2_Opset18_timm/dla102x2_Opset18.onnx b/Computer_Vision/dla102x2_Opset18_timm/dla102x2_Opset18.onnx
new file mode 100644
index 000000000..34030435e
--- /dev/null
+++ b/Computer_Vision/dla102x2_Opset18_timm/dla102x2_Opset18.onnx
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
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+size 164907278
diff --git a/Computer_Vision/dla102x2_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/dla102x2_Opset18_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..198bd679d
--- /dev/null
+++ b/Computer_Vision/dla102x2_Opset18_timm/turnkey_stats.yaml
@@ -0,0 +1,200 @@
+author: timm
+builds:
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+      set_success: 0.022330284118652344
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+    iterations: 100
+    onnx_file: /home/azureuser/.cache/turnkey/dla102x2_timm_dc7cacbd/onnx/dla102x2_timm_dc7cacbd-op18-base.onnx
+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/dla102x2.py
+class: DLA
+hash: 1366d993
+model_name: dla102x2
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+  x:
+  - 1
+  - 3
+  - 224
+  - 224
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+  ir_version: 8
+  opset: 18
+  size on disk (KiB): 161042.2959
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+  Add: 42
+  Concat: 14
+  Conv: 106
+  Flatten: 1
+  GlobalAveragePool: 1
+  MaxPool: 6
+  Relu: 101
+parameters: 41282200
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+  OEM System: Virtual Machine
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diff --git a/Computer_Vision/dla102x_Opset16_timm/dla102x_Opset16.onnx b/Computer_Vision/dla102x_Opset16_timm/dla102x_Opset16.onnx
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diff --git a/Computer_Vision/dla102x_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/dla102x_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..9adf84968
--- /dev/null
+++ b/Computer_Vision/dla102x_Opset16_timm/turnkey_stats.yaml
@@ -0,0 +1,200 @@
+author: timm
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+    - set_success
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+      set_success: 0.019420623779296875
+    device_type: x86
+    iterations: 100
+    onnx_file: /home/azureuser/.cache/turnkey/dla102x_timm_5a8d3a03/onnx/dla102x_timm_5a8d3a03-op16-base.onnx
+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/dla102x.py
+class: DLA
+hash: 3fc4d6d7
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+  - 224
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+  Concat: 14
+  Conv: 106
+  Flatten: 1
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+  Relu: 101
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+  Memory Info: 62.79 GB
+  OEM System: Virtual Machine
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new file mode 100644
index 000000000..8cbc6cf1a
--- /dev/null
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diff --git a/Computer_Vision/dla102x_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/dla102x_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..e1fee6fde
--- /dev/null
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index 000000000..50fe40426
--- /dev/null
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index 000000000..6623357a8
--- /dev/null
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new file mode 100644
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new file mode 100644
index 000000000..ad53979da
--- /dev/null
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new file mode 100644
index 000000000..b041b78bb
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diff --git a/Computer_Vision/dla34_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/dla34_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..8b879a320
--- /dev/null
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new file mode 100644
index 000000000..980f2d68f
--- /dev/null
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diff --git a/Computer_Vision/dla46_c_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/dla46_c_Opset16_timm/turnkey_stats.yaml
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index 000000000..6b2bbf7fd
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index 000000000..db09b49d1
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index 000000000..269b3d4b6
--- /dev/null
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diff --git a/Computer_Vision/dla46x_c_Opset16_timm/dla46x_c_Opset16.onnx b/Computer_Vision/dla46x_c_Opset16_timm/dla46x_c_Opset16.onnx
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index 000000000..4bced45c2
--- /dev/null
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diff --git a/Computer_Vision/dla46x_c_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/dla46x_c_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..d2968ae55
--- /dev/null
+++ b/Computer_Vision/dla46x_c_Opset16_timm/turnkey_stats.yaml
@@ -0,0 +1,200 @@
+author: timm
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/dla46x_c.py
+class: DLA
+hash: 434ebedf
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+  Conv: 49
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diff --git a/Computer_Vision/dla46x_c_Opset17_timm/dla46x_c_Opset17.onnx b/Computer_Vision/dla46x_c_Opset17_timm/dla46x_c_Opset17.onnx
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new file mode 100644
index 000000000..99534eb8c
--- /dev/null
+++ b/Computer_Vision/dla46x_c_Opset17_timm/turnkey_stats.yaml
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+author: timm
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/dla46x_c.py
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+hash: 434ebedf
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diff --git a/Computer_Vision/dla46x_c_Opset18_timm/dla46x_c_Opset18.onnx b/Computer_Vision/dla46x_c_Opset18_timm/dla46x_c_Opset18.onnx
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diff --git a/Computer_Vision/dla46x_c_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/dla46x_c_Opset18_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..afeaf8d29
--- /dev/null
+++ b/Computer_Vision/dla46x_c_Opset18_timm/turnkey_stats.yaml
@@ -0,0 +1,200 @@
+author: timm
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new file mode 100644
index 000000000..840521f17
--- /dev/null
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diff --git a/Computer_Vision/dla60_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/dla60_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..a41602437
--- /dev/null
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new file mode 100644
index 000000000..e54b83158
--- /dev/null
+++ b/Computer_Vision/dla60_Opset17_timm/turnkey_stats.yaml
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new file mode 100644
index 000000000..1ea82bb68
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diff --git a/Computer_Vision/dla60_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/dla60_Opset18_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..c38743e6d
--- /dev/null
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new file mode 100644
index 000000000..56227a405
--- /dev/null
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diff --git a/Computer_Vision/dla60_res2net_Opset17_timm/dla60_res2net_Opset17.onnx b/Computer_Vision/dla60_res2net_Opset17_timm/dla60_res2net_Opset17.onnx
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new file mode 100644
index 000000000..5346e0251
--- /dev/null
+++ b/Computer_Vision/dla60_res2net_Opset17_timm/turnkey_stats.yaml
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diff --git a/Computer_Vision/dla60_res2net_Opset18_timm/dla60_res2net_Opset18.onnx b/Computer_Vision/dla60_res2net_Opset18_timm/dla60_res2net_Opset18.onnx
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--- /dev/null
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diff --git a/Computer_Vision/dla60_res2net_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/dla60_res2net_Opset18_timm/turnkey_stats.yaml
new file mode 100644
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--- /dev/null
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new file mode 100644
index 000000000..2774d45f9
--- /dev/null
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diff --git a/Computer_Vision/dla60_res2next_Opset17_timm/dla60_res2next_Opset17.onnx b/Computer_Vision/dla60_res2next_Opset17_timm/dla60_res2next_Opset17.onnx
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diff --git a/Computer_Vision/dla60_res2next_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/dla60_res2next_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..324138796
--- /dev/null
+++ b/Computer_Vision/dla60_res2next_Opset17_timm/turnkey_stats.yaml
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+    runtime: ort
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+hash: ba9e00dd
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diff --git a/Computer_Vision/dla60_res2next_Opset18_timm/dla60_res2next_Opset18.onnx b/Computer_Vision/dla60_res2next_Opset18_timm/dla60_res2next_Opset18.onnx
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index 000000000..50b1866c5
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index 000000000..3a603dc74
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new file mode 100644
index 000000000..4d218f550
--- /dev/null
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diff --git a/Computer_Vision/dla60x_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/dla60x_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..2c0961747
--- /dev/null
+++ b/Computer_Vision/dla60x_Opset17_timm/turnkey_stats.yaml
@@ -0,0 +1,200 @@
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+hash: 3fd2d5d1
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index 000000000..7bc1a8aad
--- /dev/null
+++ b/Computer_Vision/dla60x_Opset18_timm/turnkey_stats.yaml
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diff --git a/Computer_Vision/dla60x_c_Opset16_timm/dla60x_c_Opset16.onnx b/Computer_Vision/dla60x_c_Opset16_timm/dla60x_c_Opset16.onnx
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diff --git a/Computer_Vision/dla60x_c_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/dla60x_c_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..c3a137f57
--- /dev/null
+++ b/Computer_Vision/dla60x_c_Opset16_timm/turnkey_stats.yaml
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diff --git a/Computer_Vision/dla60x_c_Opset17_timm/dla60x_c_Opset17.onnx b/Computer_Vision/dla60x_c_Opset17_timm/dla60x_c_Opset17.onnx
new file mode 100644
index 000000000..9982cfc84
--- /dev/null
+++ b/Computer_Vision/dla60x_c_Opset17_timm/dla60x_c_Opset17.onnx
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+version https://git-lfs.github.com/spec/v1
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+size 5282971
diff --git a/Computer_Vision/dla60x_c_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/dla60x_c_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..974f3982b
--- /dev/null
+++ b/Computer_Vision/dla60x_c_Opset17_timm/turnkey_stats.yaml
@@ -0,0 +1,200 @@
+author: timm
+builds:
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+      set_success: 0.015870094299316406
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+    iterations: 100
+    onnx_file: /home/azureuser/.cache/turnkey/dla60x_c_timm_ff22beb5/onnx/dla60x_c_timm_ff22beb5-op17-base.onnx
+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/dla60x_c.py
+class: DLA
+hash: da59a9ce
+model_name: dla60x_c
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+  x:
+  - 1
+  - 3
+  - 224
+  - 224
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+  ir_version: 8
+  opset: 17
+  size on disk (KiB): 5159.1836
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+  Add: 16
+  Concat: 8
+  Conv: 63
+  Flatten: 1
+  GlobalAveragePool: 1
+  MaxPool: 6
+  Relu: 59
+parameters: 1319832
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+  Memory Info: 62.79 GB
+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
+  Processor: Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
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diff --git a/Computer_Vision/dla60x_c_Opset18_timm/dla60x_c_Opset18.onnx b/Computer_Vision/dla60x_c_Opset18_timm/dla60x_c_Opset18.onnx
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diff --git a/Computer_Vision/dla60x_c_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/dla60x_c_Opset18_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..1750ad48a
--- /dev/null
+++ b/Computer_Vision/dla60x_c_Opset18_timm/turnkey_stats.yaml
@@ -0,0 +1,200 @@
+author: timm
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+      set_success: 0.020863771438598633
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+    iterations: 100
+    onnx_file: /home/azureuser/.cache/turnkey/dla60x_c_timm_ff22beb5/onnx/dla60x_c_timm_ff22beb5-op18-base.onnx
+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/dla60x_c.py
+class: DLA
+hash: da59a9ce
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+  - 224
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+  Concat: 8
+  Conv: 63
+  Flatten: 1
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new file mode 100644
index 000000000..29321f68f
--- /dev/null
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diff --git a/Computer_Vision/dm_nfnet_f0_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/dm_nfnet_f0_Opset16_timm/turnkey_stats.yaml
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index 000000000..2991bd0e1
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index 000000000..bd0929907
--- /dev/null
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new file mode 100644
index 000000000..854cc1513
--- /dev/null
+++ b/Computer_Vision/dm_nfnet_f1_Opset16_timm/turnkey_stats.yaml
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diff --git a/Computer_Vision/dm_nfnet_f1_Opset17_timm/dm_nfnet_f1_Opset17.onnx b/Computer_Vision/dm_nfnet_f1_Opset17_timm/dm_nfnet_f1_Opset17.onnx
new file mode 100644
index 000000000..3ecd87a5e
--- /dev/null
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diff --git a/Computer_Vision/dm_nfnet_f1_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/dm_nfnet_f1_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..8484830be
--- /dev/null
+++ b/Computer_Vision/dm_nfnet_f1_Opset17_timm/turnkey_stats.yaml
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+author: timm
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+    runtime: ort
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diff --git a/Computer_Vision/dm_nfnet_f2_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/dm_nfnet_f2_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..aaab6fdde
--- /dev/null
+++ b/Computer_Vision/dm_nfnet_f2_Opset16_timm/turnkey_stats.yaml
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+author: timm
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new file mode 100644
index 000000000..90ed2592a
--- /dev/null
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index 000000000..80188ac7f
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index 000000000..923919190
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index 000000000..5f241e594
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diff --git a/Computer_Vision/dm_nfnet_f4_Opset16_timm/dm_nfnet_f4_Opset16.onnx b/Computer_Vision/dm_nfnet_f4_Opset16_timm/dm_nfnet_f4_Opset16.onnx
new file mode 100644
index 000000000..b742cb770
--- /dev/null
+++ b/Computer_Vision/dm_nfnet_f4_Opset16_timm/dm_nfnet_f4_Opset16.onnx
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
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diff --git a/Computer_Vision/dm_nfnet_f4_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/dm_nfnet_f4_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..cb33f9ae3
--- /dev/null
+++ b/Computer_Vision/dm_nfnet_f4_Opset16_timm/turnkey_stats.yaml
@@ -0,0 +1,221 @@
+author: timm
+builds:
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/dm_nfnet_f4.py
+class: NormFreeNet
+hash: 3f19f674
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+  - 384
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+  Add: 324
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+  Reshape: 259
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+  Sigmoid: 60
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+  OEM System: Virtual Machine
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diff --git a/Computer_Vision/dm_nfnet_f4_Opset17_timm/dm_nfnet_f4_Opset17.onnx b/Computer_Vision/dm_nfnet_f4_Opset17_timm/dm_nfnet_f4_Opset17.onnx
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diff --git a/Computer_Vision/dm_nfnet_f4_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/dm_nfnet_f4_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..f1e71ba16
--- /dev/null
+++ b/Computer_Vision/dm_nfnet_f4_Opset17_timm/turnkey_stats.yaml
@@ -0,0 +1,221 @@
+author: timm
+builds:
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+    runtime: ort
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+class: NormFreeNet
+hash: 3f19f674
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+  - 384
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diff --git a/Computer_Vision/dm_nfnet_f6_Opset17_timm/dm_nfnet_f6_Opset17.tar.gz b/Computer_Vision/dm_nfnet_f6_Opset17_timm/dm_nfnet_f6_Opset17.tar.gz
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index 000000000..adfdfa23e
--- /dev/null
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index 000000000..a420495dd
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new file mode 100644
index 000000000..6ac202039
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index 000000000..5b2f66a61
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index 000000000..3f46925d2
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new file mode 100644
index 000000000..c58f2ae46
--- /dev/null
+++ b/Computer_Vision/dpn131_Opset16_timm/turnkey_stats.yaml
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new file mode 100644
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diff --git a/Computer_Vision/dpn131_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/dpn131_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..f29d46116
--- /dev/null
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index 000000000..7af7a1eb0
--- /dev/null
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new file mode 100644
index 000000000..eb5bed661
--- /dev/null
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diff --git a/Computer_Vision/dpn68_Opset17_timm/dpn68_Opset17.onnx b/Computer_Vision/dpn68_Opset17_timm/dpn68_Opset17.onnx
new file mode 100644
index 000000000..0311c2472
--- /dev/null
+++ b/Computer_Vision/dpn68_Opset17_timm/dpn68_Opset17.onnx
@@ -0,0 +1,3 @@
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diff --git a/Computer_Vision/dpn68_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/dpn68_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..5b0d6e104
--- /dev/null
+++ b/Computer_Vision/dpn68_Opset17_timm/turnkey_stats.yaml
@@ -0,0 +1,204 @@
+author: timm
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/dpn68.py
+class: DPN
+hash: 5a2d9534
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+  - 1
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index 000000000..d02b7865a
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diff --git a/Computer_Vision/dpn68_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/dpn68_Opset18_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..0798bac60
--- /dev/null
+++ b/Computer_Vision/dpn68_Opset18_timm/turnkey_stats.yaml
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+hash: 5a2d9534
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new file mode 100644
index 000000000..cc187feb1
--- /dev/null
+++ b/Computer_Vision/dpn68b_Opset16_timm/dpn68b_Opset16.onnx
@@ -0,0 +1,3 @@
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diff --git a/Computer_Vision/dpn68b_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/dpn68b_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..731138a15
--- /dev/null
+++ b/Computer_Vision/dpn68b_Opset16_timm/turnkey_stats.yaml
@@ -0,0 +1,204 @@
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/dpn68b.py
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+hash: 29a6bf4e
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+  - 1
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+  GlobalAveragePool: 1
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new file mode 100644
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--- /dev/null
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index 000000000..3779f25b5
--- /dev/null
+++ b/Computer_Vision/dpn68b_Opset17_timm/turnkey_stats.yaml
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+author: timm
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/dpn68b.py
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+hash: 29a6bf4e
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diff --git a/Computer_Vision/dpn68b_Opset18_timm/dpn68b_Opset18.onnx b/Computer_Vision/dpn68b_Opset18_timm/dpn68b_Opset18.onnx
new file mode 100644
index 000000000..7e2828448
--- /dev/null
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diff --git a/Computer_Vision/dpn68b_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/dpn68b_Opset18_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..24ff8d4bb
--- /dev/null
+++ b/Computer_Vision/dpn68b_Opset18_timm/turnkey_stats.yaml
@@ -0,0 +1,204 @@
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new file mode 100644
index 000000000..e6777ca1f
--- /dev/null
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diff --git a/Computer_Vision/dpn92_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/dpn92_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..f52aba90c
--- /dev/null
+++ b/Computer_Vision/dpn92_Opset16_timm/turnkey_stats.yaml
@@ -0,0 +1,204 @@
+author: timm
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+    onnx_file: /home/azureuser/.cache/turnkey/dpn92_timm_a382a56a/onnx/dpn92_timm_a382a56a-op16-base.onnx
+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/dpn92.py
+class: DPN
+hash: 00b673d4
+model_name: dpn92
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+  - 1
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+  GlobalAveragePool: 1
+  Identity: 8
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+  Slice: 68
+parameters: 37668392
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+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
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index 000000000..03b7ce50f
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diff --git a/Computer_Vision/dpn92_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/dpn92_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..f315bb479
--- /dev/null
+++ b/Computer_Vision/dpn92_Opset17_timm/turnkey_stats.yaml
@@ -0,0 +1,204 @@
+author: timm
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/dpn92.py
+class: DPN
+hash: 00b673d4
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+  - 224
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+  Identity: 8
+  MaxPool: 1
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+  Slice: 68
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+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
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diff --git a/Computer_Vision/dpn92_Opset18_timm/dpn92_Opset18.onnx b/Computer_Vision/dpn92_Opset18_timm/dpn92_Opset18.onnx
new file mode 100644
index 000000000..08bb90d67
--- /dev/null
+++ b/Computer_Vision/dpn92_Opset18_timm/dpn92_Opset18.onnx
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
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diff --git a/Computer_Vision/dpn92_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/dpn92_Opset18_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..412f172b4
--- /dev/null
+++ b/Computer_Vision/dpn92_Opset18_timm/turnkey_stats.yaml
@@ -0,0 +1,204 @@
+author: timm
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new file mode 100644
index 000000000..a27a713a6
--- /dev/null
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diff --git a/Computer_Vision/dpn98_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/dpn98_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..b3a3eed44
--- /dev/null
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index 000000000..a8de596c7
--- /dev/null
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diff --git a/Computer_Vision/eca_botnext26ts_256_Opset17_timm/eca_botnext26ts_256_Opset17.onnx b/Computer_Vision/eca_botnext26ts_256_Opset17_timm/eca_botnext26ts_256_Opset17.onnx
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diff --git a/Computer_Vision/eca_nfnet_l0_Opset16_timm/eca_nfnet_l0_Opset16.onnx b/Computer_Vision/eca_nfnet_l0_Opset16_timm/eca_nfnet_l0_Opset16.onnx
new file mode 100644
index 000000000..a462de17b
--- /dev/null
+++ b/Computer_Vision/eca_nfnet_l0_Opset16_timm/eca_nfnet_l0_Opset16.onnx
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
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diff --git a/Computer_Vision/eca_nfnet_l0_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/eca_nfnet_l0_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..cd27f74ac
--- /dev/null
+++ b/Computer_Vision/eca_nfnet_l0_Opset16_timm/turnkey_stats.yaml
@@ -0,0 +1,209 @@
+author: timm
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/eca_nfnet_l0.py
+class: NormFreeNet
+hash: e577dfdd
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+  - 224
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diff --git a/Computer_Vision/eca_nfnet_l0_Opset17_timm/eca_nfnet_l0_Opset17.onnx b/Computer_Vision/eca_nfnet_l0_Opset17_timm/eca_nfnet_l0_Opset17.onnx
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diff --git a/Computer_Vision/eca_nfnet_l0_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/eca_nfnet_l0_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..2abeab329
--- /dev/null
+++ b/Computer_Vision/eca_nfnet_l0_Opset17_timm/turnkey_stats.yaml
@@ -0,0 +1,209 @@
+author: timm
+builds:
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+    runtime: ort
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--- /dev/null
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index 000000000..9b1a15735
--- /dev/null
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index 000000000..a368dc21f
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new file mode 100644
index 000000000..45bbb199d
--- /dev/null
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diff --git a/Computer_Vision/ecaresnet101d_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/ecaresnet101d_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..da0c045fd
--- /dev/null
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index 000000000..165c18e5a
--- /dev/null
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@@ -0,0 +1,208 @@
+author: timm
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diff --git a/Computer_Vision/ecaresnet269d_Opset16_timm/ecaresnet269d_Opset16.onnx b/Computer_Vision/ecaresnet269d_Opset16_timm/ecaresnet269d_Opset16.onnx
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diff --git a/Computer_Vision/ecaresnet269d_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/ecaresnet269d_Opset16_timm/turnkey_stats.yaml
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index 000000000..e3fbf4a52
--- /dev/null
+++ b/Computer_Vision/ecaresnet269d_Opset16_timm/turnkey_stats.yaml
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+author: timm
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+  - 320
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diff --git a/Computer_Vision/ecaresnet269d_Opset17_timm/ecaresnet269d_Opset17.onnx b/Computer_Vision/ecaresnet269d_Opset17_timm/ecaresnet269d_Opset17.onnx
new file mode 100644
index 000000000..0a3149328
--- /dev/null
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diff --git a/Computer_Vision/ecaresnet269d_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/ecaresnet269d_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..a90bf1f7a
--- /dev/null
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+  ReduceMean: 89
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+author: timm
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index 000000000..eeff877e9
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index 000000000..28065c9f2
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index 000000000..bae88238b
--- /dev/null
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diff --git a/Computer_Vision/ecaresnet50t_Opset16_timm/ecaresnet50t_Opset16.onnx b/Computer_Vision/ecaresnet50t_Opset16_timm/ecaresnet50t_Opset16.onnx
new file mode 100644
index 000000000..827acd5a8
--- /dev/null
+++ b/Computer_Vision/ecaresnet50t_Opset16_timm/ecaresnet50t_Opset16.onnx
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
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+size 102240094
diff --git a/Computer_Vision/ecaresnet50t_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/ecaresnet50t_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..48dbb6432
--- /dev/null
+++ b/Computer_Vision/ecaresnet50t_Opset16_timm/turnkey_stats.yaml
@@ -0,0 +1,208 @@
+author: timm
+builds:
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+    - export_pytorch
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+      set_success: 0.01747441291809082
+    device_type: x86
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/ecaresnet50t.py
+class: ResNet
+hash: 17ff7d61
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+  x:
+  - 1
+  - 3
+  - 256
+  - 256
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+  ir_version: 8
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+  Add: 16
+  AveragePool: 3
+  Constant: 32
+  Conv: 71
+  Expand: 16
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+  MaxPool: 1
+  Mul: 16
+  ReduceMean: 16
+  Relu: 51
+  Reshape: 32
+  Shape: 16
+  Sigmoid: 16
+parameters: 25573814
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+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
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diff --git a/Computer_Vision/ecaresnet50t_Opset17_timm/ecaresnet50t_Opset17.onnx b/Computer_Vision/ecaresnet50t_Opset17_timm/ecaresnet50t_Opset17.onnx
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+version https://git-lfs.github.com/spec/v1
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diff --git a/Computer_Vision/ecaresnet50t_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/ecaresnet50t_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..1b8e65cc5
--- /dev/null
+++ b/Computer_Vision/ecaresnet50t_Opset17_timm/turnkey_stats.yaml
@@ -0,0 +1,208 @@
+author: timm
+builds:
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+      set_success: 0.01711750030517578
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+    iterations: 100
+    onnx_file: /home/azureuser/.cache/turnkey/ecaresnet50t_timm_13a57d4b/onnx/ecaresnet50t_timm_13a57d4b-op17-base.onnx
+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/ecaresnet50t.py
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+hash: 17ff7d61
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+  - 256
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+  MaxPool: 1
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+  Relu: 51
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+  Shape: 16
+  Sigmoid: 16
+parameters: 25573814
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+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
+  Processor: Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
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index 000000000..bbaec44b2
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diff --git a/Computer_Vision/edgenext_small_Opset17_timm/edgenext_small_Opset17.onnx b/Computer_Vision/edgenext_small_Opset17_timm/edgenext_small_Opset17.onnx
new file mode 100644
index 000000000..5872bcc3d
--- /dev/null
+++ b/Computer_Vision/edgenext_small_Opset17_timm/edgenext_small_Opset17.onnx
@@ -0,0 +1,3 @@
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diff --git a/Computer_Vision/edgenext_small_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/edgenext_small_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..6edb11d1d
--- /dev/null
+++ b/Computer_Vision/edgenext_small_Opset17_timm/turnkey_stats.yaml
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+author: timm
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+class: EdgeNeXt
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+  - 256
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+  Shape: 11
+  Sin: 2
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+  Softmax: 3
+  Split: 3
+  Squeeze: 9
+  Transpose: 57
+  Unsqueeze: 6
+parameters: 5586832
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+  Memory Info: 62.79 GB
+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
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--- /dev/null
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new file mode 100644
index 000000000..344e6b1ce
--- /dev/null
+++ b/Computer_Vision/edgenext_small_Opset18_timm/turnkey_stats.yaml
@@ -0,0 +1,222 @@
+author: timm
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diff --git a/Computer_Vision/edgenext_small_rw_Opset18_timm/edgenext_small_rw_Opset18.onnx b/Computer_Vision/edgenext_small_rw_Opset18_timm/edgenext_small_rw_Opset18.onnx
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diff --git a/Computer_Vision/edgenext_x_small_Opset16_timm/edgenext_x_small_Opset16.onnx b/Computer_Vision/edgenext_x_small_Opset16_timm/edgenext_x_small_Opset16.onnx
new file mode 100644
index 000000000..ed190dd84
--- /dev/null
+++ b/Computer_Vision/edgenext_x_small_Opset16_timm/edgenext_x_small_Opset16.onnx
@@ -0,0 +1,3 @@
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diff --git a/Computer_Vision/edgenext_x_small_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/edgenext_x_small_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..e6a235a6b
--- /dev/null
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diff --git a/Computer_Vision/edgenext_x_small_Opset17_timm/edgenext_x_small_Opset17.onnx b/Computer_Vision/edgenext_x_small_Opset17_timm/edgenext_x_small_Opset17.onnx
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new file mode 100644
index 000000000..58c477ca1
--- /dev/null
+++ b/Computer_Vision/edgenext_x_small_Opset17_timm/turnkey_stats.yaml
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+author: timm
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new file mode 100644
index 000000000..f716d9c1d
--- /dev/null
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diff --git a/Computer_Vision/edgenext_x_small_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/edgenext_x_small_Opset18_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..2eeb08b30
--- /dev/null
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diff --git a/Computer_Vision/edgenext_xx_small_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/edgenext_xx_small_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..6159489b3
--- /dev/null
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+author: timm
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diff --git a/Computer_Vision/edgenext_xx_small_Opset17_timm/edgenext_xx_small_Opset17.onnx b/Computer_Vision/edgenext_xx_small_Opset17_timm/edgenext_xx_small_Opset17.onnx
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diff --git a/Computer_Vision/edgenext_xx_small_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/edgenext_xx_small_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..138075698
--- /dev/null
+++ b/Computer_Vision/edgenext_xx_small_Opset17_timm/turnkey_stats.yaml
@@ -0,0 +1,222 @@
+author: timm
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index 000000000..0c2f38105
--- /dev/null
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index 000000000..5717ff564
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index 000000000..1180db85c
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index 000000000..b7e16a5fc
--- /dev/null
+++ b/Computer_Vision/efficientnet_b2_Opset16_timm/efficientnet_b2_Opset16.onnx
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new file mode 100644
index 000000000..0545b4852
--- /dev/null
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index 000000000..9144fe026
--- /dev/null
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index 000000000..23565018c
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+  - xxhash==3.4.1
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diff --git a/Computer_Vision/efficientnet_b3_Opset17_timm/efficientnet_b3_Opset17.onnx b/Computer_Vision/efficientnet_b3_Opset17_timm/efficientnet_b3_Opset17.onnx
new file mode 100644
index 000000000..c6292dece
--- /dev/null
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diff --git a/Computer_Vision/efficientnet_b3_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/efficientnet_b3_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..b3436da2b
--- /dev/null
+++ b/Computer_Vision/efficientnet_b3_Opset17_timm/turnkey_stats.yaml
@@ -0,0 +1,201 @@
+author: timm
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/efficientnet_b3.py
+class: EfficientNet
+hash: 18c94366
+model_name: efficientnet_b3
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+  x:
+  - 1
+  - 3
+  - 288
+  - 288
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+  Add: 19
+  Conv: 130
+  Flatten: 1
+  Gemm: 1
+  GlobalAveragePool: 1
+  Mul: 104
+  ReduceMean: 26
+  Sigmoid: 104
+parameters: 12233232
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new file mode 100644
index 000000000..0664cbc86
--- /dev/null
+++ b/Computer_Vision/efficientnet_b3a_Opset16_timm/turnkey_stats.yaml
@@ -0,0 +1,201 @@
+author: timm
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+      set_success: 0.020541906356811523
+    device_type: x86
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+    onnx_file: /home/azureuser/.cache/turnkey/efficientnet_b3a_timm_0b2008e8/onnx/efficientnet_b3a_timm_0b2008e8-op16-base.onnx
+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/efficientnet_b3a.py
+class: EfficientNet
+hash: 18c94366
+model_name: efficientnet_b3a
+onnx_input_dimensions:
+  x:
+  - 1
+  - 3
+  - 288
+  - 288
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+  size on disk (KiB): 47708.6689
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+  Add: 19
+  Conv: 130
+  Flatten: 1
+  Gemm: 1
+  GlobalAveragePool: 1
+  Mul: 104
+  ReduceMean: 26
+  Sigmoid: 104
+parameters: 12233232
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+  OEM System: Virtual Machine
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diff --git a/Computer_Vision/efficientnet_b3a_Opset17_timm/efficientnet_b3a_Opset17.onnx b/Computer_Vision/efficientnet_b3a_Opset17_timm/efficientnet_b3a_Opset17.onnx
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@@ -0,0 +1,201 @@
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new file mode 100644
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index 000000000..9396994d3
--- /dev/null
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--- /dev/null
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new file mode 100644
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--- /dev/null
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diff --git a/Computer_Vision/efficientnet_el_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/efficientnet_el_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..30d621a6c
--- /dev/null
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index 000000000..199fd1280
--- /dev/null
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diff --git a/Computer_Vision/efficientnet_el_pruned_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/efficientnet_el_pruned_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..fde91ae31
--- /dev/null
+++ b/Computer_Vision/efficientnet_el_pruned_Opset16_timm/turnkey_stats.yaml
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/efficientnet_el_pruned.py
+class: EfficientNet
+hash: 70c78f7f
+model_name: efficientnet_el_pruned
+onnx_input_dimensions:
+  x:
+  - 1
+  - 3
+  - 300
+  - 300
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+  size on disk (KiB): 41220.376
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+  Add: 20
+  Conv: 72
+  Flatten: 1
+  Gemm: 1
+  GlobalAveragePool: 1
+  Relu: 45
+parameters: 10589712
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new file mode 100644
index 000000000..e1bd73c9f
--- /dev/null
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+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/efficientnet_el_pruned.py
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new file mode 100644
index 000000000..8a9973217
--- /dev/null
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+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/efficientnet_el_pruned.py
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index 000000000..3b2da06df
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index 000000000..c0724c9cd
--- /dev/null
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new file mode 100644
index 000000000..15202b558
--- /dev/null
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new file mode 100644
index 000000000..6d487a98a
--- /dev/null
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index 000000000..1d594a1a0
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new file mode 100644
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index 000000000..5a9af9e5f
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index 000000000..266cfceb8
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--- /dev/null
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diff --git a/Computer_Vision/efficientnet_lite0_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/efficientnet_lite0_Opset18_timm/turnkey_stats.yaml
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index 000000000..8ec0499ff
--- /dev/null
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index 000000000..6ddb17d17
--- /dev/null
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new file mode 100644
index 000000000..2a332bd52
--- /dev/null
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+    runtime: ort
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new file mode 100644
index 000000000..99f018b37
--- /dev/null
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diff --git a/Computer_Vision/efficientnet_v2_s_Opset16_torch_hub/efficientnet_v2_s_Opset16.onnx b/Computer_Vision/efficientnet_v2_s_Opset16_torch_hub/efficientnet_v2_s_Opset16.onnx
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--- /dev/null
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index 000000000..a171dd1b8
--- /dev/null
+++ b/Computer_Vision/efficientnet_v2_s_Opset16_torch_hub/turnkey_stats.yaml
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diff --git a/Computer_Vision/efficientnetv2_rw_s_Opset17_timm/efficientnetv2_rw_s_Opset17.onnx b/Computer_Vision/efficientnetv2_rw_s_Opset17_timm/efficientnetv2_rw_s_Opset17.onnx
new file mode 100644
index 000000000..b2f50cbce
--- /dev/null
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diff --git a/Computer_Vision/efficientnetv2_rw_s_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/efficientnetv2_rw_s_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..5d33fdd7b
--- /dev/null
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new file mode 100644
index 000000000..527ef2f97
--- /dev/null
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diff --git a/Computer_Vision/ese_vovnet19b_dw_Opset17_timm/ese_vovnet19b_dw_Opset17.onnx b/Computer_Vision/ese_vovnet19b_dw_Opset17_timm/ese_vovnet19b_dw_Opset17.onnx
new file mode 100644
index 000000000..f653edcfb
--- /dev/null
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diff --git a/Computer_Vision/ese_vovnet19b_dw_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/ese_vovnet19b_dw_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..b3336420e
--- /dev/null
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--- /dev/null
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diff --git a/Computer_Vision/ese_vovnet39b_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/ese_vovnet39b_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..6bef388c4
--- /dev/null
+++ b/Computer_Vision/ese_vovnet39b_Opset17_timm/turnkey_stats.yaml
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diff --git a/Computer_Vision/fasterrcnn_mobilenet_v3_large_320_fpn_Opset16_torchvision/fasterrcnn_mobilenet_v3_large_320_fpn_Opset16.onnx b/Computer_Vision/fasterrcnn_mobilenet_v3_large_320_fpn_Opset16_torchvision/fasterrcnn_mobilenet_v3_large_320_fpn_Opset16.onnx
new file mode 100644
index 000000000..36af70846
--- /dev/null
+++ b/Computer_Vision/fasterrcnn_mobilenet_v3_large_320_fpn_Opset16_torchvision/fasterrcnn_mobilenet_v3_large_320_fpn_Opset16.onnx
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diff --git a/Computer_Vision/fasterrcnn_mobilenet_v3_large_320_fpn_Opset16_torchvision/turnkey_stats.yaml b/Computer_Vision/fasterrcnn_mobilenet_v3_large_320_fpn_Opset16_torchvision/turnkey_stats.yaml
new file mode 100644
index 000000000..3c36cabc0
--- /dev/null
+++ b/Computer_Vision/fasterrcnn_mobilenet_v3_large_320_fpn_Opset16_torchvision/turnkey_stats.yaml
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--- /dev/null
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diff --git a/Computer_Vision/fasterrcnn_mobilenet_v3_large_320_fpn_Opset18_torchvision/turnkey_stats.yaml b/Computer_Vision/fasterrcnn_mobilenet_v3_large_320_fpn_Opset18_torchvision/turnkey_stats.yaml
new file mode 100644
index 000000000..79ba13904
--- /dev/null
+++ b/Computer_Vision/fasterrcnn_mobilenet_v3_large_320_fpn_Opset18_torchvision/turnkey_stats.yaml
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diff --git a/Computer_Vision/fasterrcnn_mobilenet_v3_large_fpn_Opset18_torchvision/fasterrcnn_mobilenet_v3_large_fpn_Opset18.onnx b/Computer_Vision/fasterrcnn_mobilenet_v3_large_fpn_Opset18_torchvision/fasterrcnn_mobilenet_v3_large_fpn_Opset18.onnx
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diff --git a/Computer_Vision/fasterrcnn_mobilenet_v3_large_fpn_Opset18_torchvision/turnkey_stats.yaml b/Computer_Vision/fasterrcnn_mobilenet_v3_large_fpn_Opset18_torchvision/turnkey_stats.yaml
new file mode 100644
index 000000000..df0b864a5
--- /dev/null
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diff --git a/Computer_Vision/fasterrcnn_resnet50_fpn_v2_Opset17_torchvision/fasterrcnn_resnet50_fpn_v2_Opset17.onnx b/Computer_Vision/fasterrcnn_resnet50_fpn_v2_Opset17_torchvision/fasterrcnn_resnet50_fpn_v2_Opset17.onnx
new file mode 100644
index 000000000..5d5395ee4
--- /dev/null
+++ b/Computer_Vision/fasterrcnn_resnet50_fpn_v2_Opset17_torchvision/fasterrcnn_resnet50_fpn_v2_Opset17.onnx
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diff --git a/Computer_Vision/fasterrcnn_resnet50_fpn_v2_Opset17_torchvision/turnkey_stats.yaml b/Computer_Vision/fasterrcnn_resnet50_fpn_v2_Opset17_torchvision/turnkey_stats.yaml
new file mode 100644
index 000000000..b00541697
--- /dev/null
+++ b/Computer_Vision/fasterrcnn_resnet50_fpn_v2_Opset17_torchvision/turnkey_stats.yaml
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+    runtime: ort
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diff --git a/Computer_Vision/fasterrcnn_resnet50_fpn_v2_Opset18_torchvision/fasterrcnn_resnet50_fpn_v2_Opset18.onnx b/Computer_Vision/fasterrcnn_resnet50_fpn_v2_Opset18_torchvision/fasterrcnn_resnet50_fpn_v2_Opset18.onnx
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new file mode 100644
index 000000000..25416c006
--- /dev/null
+++ b/Computer_Vision/fasterrcnn_resnet50_fpn_v2_Opset18_torchvision/turnkey_stats.yaml
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+    runtime: ort
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--- /dev/null
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diff --git a/Computer_Vision/fbnetc_100_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/fbnetc_100_Opset16_timm/turnkey_stats.yaml
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index 000000000..4fcc1b709
--- /dev/null
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/fbnetc_100.py
+class: EfficientNet
+hash: 8c5f99d5
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+  - 1
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+  Add: 15
+  Conv: 65
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+  Relu: 44
+parameters: 5572200
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index 000000000..02101eed1
--- /dev/null
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+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/fbnetc_100.py
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diff --git a/Computer_Vision/fbnetc_100_Opset18_timm/fbnetc_100_Opset18.onnx b/Computer_Vision/fbnetc_100_Opset18_timm/fbnetc_100_Opset18.onnx
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diff --git a/Computer_Vision/fbnetc_100_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/fbnetc_100_Opset18_timm/turnkey_stats.yaml
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index 000000000..628a5df5b
--- /dev/null
+++ b/Computer_Vision/fbnetc_100_Opset18_timm/turnkey_stats.yaml
@@ -0,0 +1,199 @@
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+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/fbnetc_100.py
+class: EfficientNet
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+  - 224
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+  - xxhash==3.4.1
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+  - yarl==1.9.2
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diff --git a/Computer_Vision/fbnetv3_b_Opset16_timm/fbnetv3_b_Opset16.onnx b/Computer_Vision/fbnetv3_b_Opset16_timm/fbnetv3_b_Opset16.onnx
new file mode 100644
index 000000000..6b6c8990d
--- /dev/null
+++ b/Computer_Vision/fbnetv3_b_Opset16_timm/fbnetv3_b_Opset16.onnx
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f94c75403204647041c7ed9145fcb0550aaef8cbcd19c8977df5a6779f6474bc
+size 34374580
diff --git a/Computer_Vision/fbnetv3_b_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/fbnetv3_b_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..2120a6ea7
--- /dev/null
+++ b/Computer_Vision/fbnetv3_b_Opset16_timm/turnkey_stats.yaml
@@ -0,0 +1,202 @@
+author: timm
+builds:
+  x86_ort:
+    all_build_stages:
+    - export_pytorch
+    - set_success
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+      set_success: 0.015569686889648438
+    device_type: x86
+    iterations: 100
+    onnx_file: /home/azureuser/.cache/turnkey/fbnetv3_b_timm_d26ccb1e/onnx/fbnetv3_b_timm_d26ccb1e-op16-base.onnx
+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/fbnetv3_b.py
+class: MobileNetV3
+hash: 07abe998
+model_name: fbnetv3_b
+onnx_input_dimensions:
+  x:
+  - 1
+  - 3
+  - 224
+  - 224
+onnx_model_information:
+  ir_version: 8
+  opset: 16
+  size on disk (KiB): 33568.958
+onnx_ops_counter:
+  Add: 23
+  Conv: 124
+  Flatten: 1
+  Gemm: 1
+  GlobalAveragePool: 1
+  HardSigmoid: 18
+  HardSwish: 77
+  Mul: 18
+  ReduceMean: 18
+parameters: 8598464
+system_info:
+  Memory Info: 62.79 GB
+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
+  Processor: Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
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+task: Computer_Vision
diff --git a/Computer_Vision/fbnetv3_b_Opset17_timm/fbnetv3_b_Opset17.onnx b/Computer_Vision/fbnetv3_b_Opset17_timm/fbnetv3_b_Opset17.onnx
new file mode 100644
index 000000000..9c8459f38
--- /dev/null
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+version https://git-lfs.github.com/spec/v1
+oid sha256:527993ac46a2b9871d0e3d9ecc820db8abfab0306c55776501c3dec63f68194f
+size 34374580
diff --git a/Computer_Vision/fbnetv3_b_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/fbnetv3_b_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..cd3be9893
--- /dev/null
+++ b/Computer_Vision/fbnetv3_b_Opset17_timm/turnkey_stats.yaml
@@ -0,0 +1,202 @@
+author: timm
+builds:
+  x86_ort:
+    all_build_stages:
+    - export_pytorch
+    - set_success
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+    completed_build_stages:
+      export_pytorch: 2.1561851501464844
+      set_success: 0.01637434959411621
+    device_type: x86
+    iterations: 100
+    onnx_file: /home/azureuser/.cache/turnkey/fbnetv3_b_timm_d26ccb1e/onnx/fbnetv3_b_timm_d26ccb1e-op17-base.onnx
+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/fbnetv3_b.py
+class: MobileNetV3
+hash: 07abe998
+model_name: fbnetv3_b
+onnx_input_dimensions:
+  x:
+  - 1
+  - 3
+  - 224
+  - 224
+onnx_model_information:
+  ir_version: 8
+  opset: 17
+  size on disk (KiB): 33568.958
+onnx_ops_counter:
+  Add: 23
+  Conv: 124
+  Flatten: 1
+  Gemm: 1
+  GlobalAveragePool: 1
+  HardSigmoid: 18
+  HardSwish: 77
+  Mul: 18
+  ReduceMean: 18
+parameters: 8598464
+system_info:
+  Memory Info: 62.79 GB
+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
+  Processor: Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
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+  - markupsafe==2.1.3
+  - pillow==10.1.0
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--- /dev/null
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diff --git a/Computer_Vision/fbnetv3_d_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/fbnetv3_d_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..580b0b6d0
--- /dev/null
+++ b/Computer_Vision/fbnetv3_d_Opset16_timm/turnkey_stats.yaml
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/fbnetv3_d.py
+class: MobileNetV3
+hash: 9db09bbb
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+  x:
+  - 1
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+  - 224
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+  ir_version: 8
+  opset: 16
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+  Add: 25
+  Conv: 135
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+  HardSigmoid: 19
+  HardSwish: 84
+  Mul: 19
+  ReduceMean: 19
+parameters: 10306272
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index 000000000..1c7ec60a6
--- /dev/null
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/fbnetv3_d.py
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+  - 224
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+  ReduceMean: 19
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+  OEM System: Virtual Machine
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diff --git a/Computer_Vision/fbnetv3_g_Opset16_timm/fbnetv3_g_Opset16.onnx b/Computer_Vision/fbnetv3_g_Opset16_timm/fbnetv3_g_Opset16.onnx
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diff --git a/Computer_Vision/fbnetv3_g_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/fbnetv3_g_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..387376599
--- /dev/null
+++ b/Computer_Vision/fbnetv3_g_Opset16_timm/turnkey_stats.yaml
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+author: timm
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+      set_success: 0.01798725128173828
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+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/fbnetv3_g.py
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diff --git a/Computer_Vision/fbnetv3_g_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/fbnetv3_g_Opset17_timm/turnkey_stats.yaml
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index 000000000..3b969647c
--- /dev/null
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diff --git a/Computer_Vision/fcos_resnet50_fpn_Opset17_torchvision/fcos_resnet50_fpn_Opset17.onnx b/Computer_Vision/fcos_resnet50_fpn_Opset17_torchvision/fcos_resnet50_fpn_Opset17.onnx
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index 000000000..e1db1e47c
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diff --git a/Computer_Vision/gc_efficientnetv2_rw_t_Opset17_timm/gc_efficientnetv2_rw_t_Opset17.onnx b/Computer_Vision/gc_efficientnetv2_rw_t_Opset17_timm/gc_efficientnetv2_rw_t_Opset17.onnx
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--- /dev/null
+++ b/Computer_Vision/gc_efficientnetv2_rw_t_Opset17_timm/gc_efficientnetv2_rw_t_Opset17.onnx
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diff --git a/Computer_Vision/gc_efficientnetv2_rw_t_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/gc_efficientnetv2_rw_t_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..906ed9b57
--- /dev/null
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index 000000000..3192bb72a
--- /dev/null
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index 000000000..d42c60335
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index 000000000..1586caed7
--- /dev/null
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diff --git a/Computer_Vision/gcresnet50t_Opset16_timm/gcresnet50t_Opset16.onnx b/Computer_Vision/gcresnet50t_Opset16_timm/gcresnet50t_Opset16.onnx
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index 000000000..d90f77ef6
--- /dev/null
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diff --git a/Computer_Vision/gcresnet50t_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/gcresnet50t_Opset16_timm/turnkey_stats.yaml
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index 000000000..fada5b91a
--- /dev/null
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+author: timm
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index 000000000..b8d47c1ad
--- /dev/null
+++ b/Computer_Vision/gcresnet50t_Opset17_timm/turnkey_stats.yaml
@@ -0,0 +1,206 @@
+author: timm
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diff --git a/Computer_Vision/gcresnet50t_Opset18_timm/gcresnet50t_Opset18.onnx b/Computer_Vision/gcresnet50t_Opset18_timm/gcresnet50t_Opset18.onnx
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diff --git a/Computer_Vision/gcresnet50t_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/gcresnet50t_Opset18_timm/turnkey_stats.yaml
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index 000000000..e5666cb95
--- /dev/null
+++ b/Computer_Vision/gcresnet50t_Opset18_timm/turnkey_stats.yaml
@@ -0,0 +1,206 @@
+author: timm
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diff --git a/Computer_Vision/gcresnext26ts_Opset16_timm/gcresnext26ts_Opset16.onnx b/Computer_Vision/gcresnext26ts_Opset16_timm/gcresnext26ts_Opset16.onnx
new file mode 100644
index 000000000..c5f08dbc4
--- /dev/null
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diff --git a/Computer_Vision/gcresnext26ts_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/gcresnext26ts_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..7e76973ca
--- /dev/null
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+author: timm
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+author: timm
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--- /dev/null
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index 000000000..04feb4813
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index 000000000..220db5b06
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diff --git a/Computer_Vision/gcresnext50ts_Opset18_timm/gcresnext50ts_Opset18.onnx b/Computer_Vision/gcresnext50ts_Opset18_timm/gcresnext50ts_Opset18.onnx
new file mode 100644
index 000000000..e35378697
--- /dev/null
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new file mode 100644
index 000000000..6242cd05f
--- /dev/null
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index 000000000..bb9e6fcfa
--- /dev/null
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+author: timm
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index 000000000..2f29991d2
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index 000000000..c564d99a3
--- /dev/null
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index 000000000..b5ff86f29
--- /dev/null
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new file mode 100644
index 000000000..dadf89c43
--- /dev/null
+++ b/Computer_Vision/gernet_m_Opset17_timm/gernet_m_Opset17.onnx
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diff --git a/Computer_Vision/gernet_m_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/gernet_m_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..1e982e49c
--- /dev/null
+++ b/Computer_Vision/gernet_m_Opset17_timm/turnkey_stats.yaml
@@ -0,0 +1,199 @@
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index 000000000..3cdc5f5c7
--- /dev/null
+++ b/Computer_Vision/gernet_m_Opset18_timm/turnkey_stats.yaml
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diff --git a/Computer_Vision/gernet_s_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/gernet_s_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..0e23ec8fa
--- /dev/null
+++ b/Computer_Vision/gernet_s_Opset16_timm/turnkey_stats.yaml
@@ -0,0 +1,199 @@
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diff --git a/Computer_Vision/gernet_s_Opset17_timm/gernet_s_Opset17.onnx b/Computer_Vision/gernet_s_Opset17_timm/gernet_s_Opset17.onnx
new file mode 100644
index 000000000..2e62590c1
--- /dev/null
+++ b/Computer_Vision/gernet_s_Opset17_timm/gernet_s_Opset17.onnx
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diff --git a/Computer_Vision/gernet_s_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/gernet_s_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..ca4583f13
--- /dev/null
+++ b/Computer_Vision/gernet_s_Opset17_timm/turnkey_stats.yaml
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+  Conv: 45
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index 000000000..5b90f1c03
--- /dev/null
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--- /dev/null
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diff --git a/Computer_Vision/gluon_resnet101_v1c_Opset16_timm/gluon_resnet101_v1c_Opset16.onnx b/Computer_Vision/gluon_resnet101_v1c_Opset16_timm/gluon_resnet101_v1c_Opset16.onnx
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diff --git a/Computer_Vision/gluon_resnet101_v1c_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/gluon_resnet101_v1c_Opset16_timm/turnkey_stats.yaml
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index 000000000..cd6460c21
--- /dev/null
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--- /dev/null
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diff --git a/Computer_Vision/gluon_resnet101_v1c_Opset18_timm/gluon_resnet101_v1c_Opset18.onnx b/Computer_Vision/gluon_resnet101_v1c_Opset18_timm/gluon_resnet101_v1c_Opset18.onnx
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diff --git a/Computer_Vision/gluon_resnet101_v1c_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/gluon_resnet101_v1c_Opset18_timm/turnkey_stats.yaml
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--- /dev/null
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diff --git a/Computer_Vision/gluon_resnet101_v1d_Opset16_timm/gluon_resnet101_v1d_Opset16.onnx b/Computer_Vision/gluon_resnet101_v1d_Opset16_timm/gluon_resnet101_v1d_Opset16.onnx
new file mode 100644
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diff --git a/Computer_Vision/gluon_resnet101_v1d_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/gluon_resnet101_v1d_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..3c385da50
--- /dev/null
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+    runtime: ort
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+hash: d4c68ae8
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+parameters: 44568392
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diff --git a/Computer_Vision/gluon_resnet101_v1s_Opset18_timm/gluon_resnet101_v1s_Opset18.onnx b/Computer_Vision/gluon_resnet101_v1s_Opset18_timm/gluon_resnet101_v1s_Opset18.onnx
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--- /dev/null
+++ b/Computer_Vision/gluon_resnet101_v1s_Opset18_timm/gluon_resnet101_v1s_Opset18.onnx
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diff --git a/Computer_Vision/gluon_resnet101_v1s_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/gluon_resnet101_v1s_Opset18_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..2ab1779df
--- /dev/null
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+author: timm
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+    runtime: ort
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diff --git a/Computer_Vision/gluon_resnet152_v1b_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/gluon_resnet152_v1b_Opset17_timm/turnkey_stats.yaml
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diff --git a/Computer_Vision/gluon_resnet152_v1c_Opset17_timm/gluon_resnet152_v1c_Opset17.onnx b/Computer_Vision/gluon_resnet152_v1c_Opset17_timm/gluon_resnet152_v1c_Opset17.onnx
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diff --git a/Computer_Vision/gluon_resnet152_v1c_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/gluon_resnet152_v1c_Opset17_timm/turnkey_stats.yaml
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+author: timm
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+    runtime: ort
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+author: timm
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+    runtime: ort
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diff --git a/Computer_Vision/gluon_resnet152_v1d_Opset16_timm/gluon_resnet152_v1d_Opset16.onnx b/Computer_Vision/gluon_resnet152_v1d_Opset16_timm/gluon_resnet152_v1d_Opset16.onnx
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diff --git a/Computer_Vision/gluon_resnet152_v1s_Opset16_timm/gluon_resnet152_v1s_Opset16.onnx b/Computer_Vision/gluon_resnet152_v1s_Opset16_timm/gluon_resnet152_v1s_Opset16.onnx
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diff --git a/Computer_Vision/gluon_resnet152_v1s_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/gluon_resnet152_v1s_Opset16_timm/turnkey_stats.yaml
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diff --git a/Computer_Vision/gluon_resnet152_v1s_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/gluon_resnet152_v1s_Opset17_timm/turnkey_stats.yaml
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diff --git a/Computer_Vision/gluon_resnet152_v1s_Opset18_timm/gluon_resnet152_v1s_Opset18.onnx b/Computer_Vision/gluon_resnet152_v1s_Opset18_timm/gluon_resnet152_v1s_Opset18.onnx
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diff --git a/Computer_Vision/gluon_resnet152_v1s_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/gluon_resnet152_v1s_Opset18_timm/turnkey_stats.yaml
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--- /dev/null
+++ b/Computer_Vision/gluon_resnet152_v1s_Opset18_timm/turnkey_stats.yaml
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diff --git a/Computer_Vision/gluon_resnet18_v1b_Opset16_timm/gluon_resnet18_v1b_Opset16.onnx b/Computer_Vision/gluon_resnet18_v1b_Opset16_timm/gluon_resnet18_v1b_Opset16.onnx
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diff --git a/Computer_Vision/gluon_resnet18_v1b_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/gluon_resnet18_v1b_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..784b7831f
--- /dev/null
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diff --git a/Computer_Vision/gluon_resnet34_v1b_Opset18_timm/gluon_resnet34_v1b_Opset18.onnx b/Computer_Vision/gluon_resnet34_v1b_Opset18_timm/gluon_resnet34_v1b_Opset18.onnx
new file mode 100644
index 000000000..4681b4ac7
--- /dev/null
+++ b/Computer_Vision/gluon_resnet34_v1b_Opset18_timm/gluon_resnet34_v1b_Opset18.onnx
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diff --git a/Computer_Vision/gluon_resnet34_v1b_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/gluon_resnet34_v1b_Opset18_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..c785c177a
--- /dev/null
+++ b/Computer_Vision/gluon_resnet34_v1b_Opset18_timm/turnkey_stats.yaml
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+    runtime: ort
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+hash: 3765d65b
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diff --git a/Computer_Vision/gluon_resnet50_v1b_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/gluon_resnet50_v1b_Opset16_timm/turnkey_stats.yaml
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--- /dev/null
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diff --git a/Computer_Vision/gluon_resnet50_v1b_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/gluon_resnet50_v1b_Opset17_timm/turnkey_stats.yaml
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diff --git a/Computer_Vision/gluon_resnet50_v1c_Opset17_timm/gluon_resnet50_v1c_Opset17.onnx b/Computer_Vision/gluon_resnet50_v1c_Opset17_timm/gluon_resnet50_v1c_Opset17.onnx
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diff --git a/Computer_Vision/gluon_resnet50_v1c_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/gluon_resnet50_v1c_Opset17_timm/turnkey_stats.yaml
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--- /dev/null
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+    runtime: ort
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+hash: fa117c08
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--- /dev/null
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+    runtime: ort
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diff --git a/Computer_Vision/gluon_resnet50_v1d_Opset16_timm/gluon_resnet50_v1d_Opset16.onnx b/Computer_Vision/gluon_resnet50_v1d_Opset16_timm/gluon_resnet50_v1d_Opset16.onnx
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+author: timm
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diff --git a/Computer_Vision/gluon_resnet50_v1s_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/gluon_resnet50_v1s_Opset16_timm/turnkey_stats.yaml
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diff --git a/Computer_Vision/gluon_resnet50_v1s_Opset18_timm/gluon_resnet50_v1s_Opset18.onnx b/Computer_Vision/gluon_resnet50_v1s_Opset18_timm/gluon_resnet50_v1s_Opset18.onnx
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--- /dev/null
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diff --git a/Computer_Vision/gluon_resnext101_32x4d_Opset16_timm/gluon_resnext101_32x4d_Opset16.onnx b/Computer_Vision/gluon_resnext101_32x4d_Opset16_timm/gluon_resnext101_32x4d_Opset16.onnx
new file mode 100644
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diff --git a/Computer_Vision/gluon_resnext101_32x4d_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/gluon_resnext101_32x4d_Opset16_timm/turnkey_stats.yaml
new file mode 100644
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diff --git a/Computer_Vision/gluon_resnext101_64x4d_Opset18_timm/gluon_resnext101_64x4d_Opset18.onnx b/Computer_Vision/gluon_resnext101_64x4d_Opset18_timm/gluon_resnext101_64x4d_Opset18.onnx
new file mode 100644
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+++ b/Computer_Vision/gluon_resnext101_64x4d_Opset18_timm/gluon_resnext101_64x4d_Opset18.onnx
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diff --git a/Computer_Vision/gluon_resnext101_64x4d_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/gluon_resnext101_64x4d_Opset18_timm/turnkey_stats.yaml
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index 000000000..af5574e03
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diff --git a/Computer_Vision/gluon_senet154_Opset17_timm/gluon_senet154_Opset17.onnx b/Computer_Vision/gluon_senet154_Opset17_timm/gluon_senet154_Opset17.onnx
new file mode 100644
index 000000000..fb40fd7e8
--- /dev/null
+++ b/Computer_Vision/gluon_senet154_Opset17_timm/gluon_senet154_Opset17.onnx
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diff --git a/Computer_Vision/gluon_senet154_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/gluon_senet154_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..daefedd39
--- /dev/null
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diff --git a/Computer_Vision/gluon_seresnext101_32x4d_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/gluon_seresnext101_32x4d_Opset16_timm/turnkey_stats.yaml
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--- /dev/null
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+author: timm
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diff --git a/Computer_Vision/gluon_seresnext101_64x4d_Opset17_timm/gluon_seresnext101_64x4d_Opset17.onnx b/Computer_Vision/gluon_seresnext101_64x4d_Opset17_timm/gluon_seresnext101_64x4d_Opset17.onnx
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diff --git a/Computer_Vision/gluon_seresnext50_32x4d_Opset16_timm/gluon_seresnext50_32x4d_Opset16.onnx b/Computer_Vision/gluon_seresnext50_32x4d_Opset16_timm/gluon_seresnext50_32x4d_Opset16.onnx
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diff --git a/Computer_Vision/gluon_seresnext50_32x4d_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/gluon_seresnext50_32x4d_Opset16_timm/turnkey_stats.yaml
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diff --git a/Computer_Vision/gmixer_24_224_Opset16_timm/gmixer_24_224_Opset16.onnx b/Computer_Vision/gmixer_24_224_Opset16_timm/gmixer_24_224_Opset16.onnx
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index 000000000..8e5945918
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--- /dev/null
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new file mode 100644
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diff --git a/Computer_Vision/googlenet_Opset18_torch_hub/turnkey_stats.yaml b/Computer_Vision/googlenet_Opset18_torch_hub/turnkey_stats.yaml
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index 000000000..6dc664df7
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index 000000000..4e8643fab
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index 000000000..d7fa11ad8
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new file mode 100644
index 000000000..ca0def9b8
--- /dev/null
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diff --git a/Computer_Vision/hardcorenas_c_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/hardcorenas_c_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..83fdb49d2
--- /dev/null
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diff --git a/Computer_Vision/hardcorenas_c_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/hardcorenas_c_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..8149b66f5
--- /dev/null
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diff --git a/Computer_Vision/hardcorenas_d_Opset16_timm/hardcorenas_d_Opset16.onnx b/Computer_Vision/hardcorenas_d_Opset16_timm/hardcorenas_d_Opset16.onnx
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new file mode 100644
index 000000000..6b14200fe
--- /dev/null
+++ b/Computer_Vision/hardcorenas_d_Opset16_timm/turnkey_stats.yaml
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index 000000000..55c4d18e1
--- /dev/null
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diff --git a/Computer_Vision/hardcorenas_e_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/hardcorenas_e_Opset16_timm/turnkey_stats.yaml
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index 000000000..4e41fce3d
--- /dev/null
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index 000000000..33311edda
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+  - xxhash==3.4.1
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+  - yarl==1.9.2
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+task: Computer_Vision
diff --git a/Computer_Vision/hrnet_w18_Opset16_timm/hrnet_w18_Opset16.onnx b/Computer_Vision/hrnet_w18_Opset16_timm/hrnet_w18_Opset16.onnx
new file mode 100644
index 000000000..38dbc7f5e
--- /dev/null
+++ b/Computer_Vision/hrnet_w18_Opset16_timm/hrnet_w18_Opset16.onnx
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
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+size 85305310
diff --git a/Computer_Vision/hrnet_w18_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/hrnet_w18_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..defe966f4
--- /dev/null
+++ b/Computer_Vision/hrnet_w18_Opset16_timm/turnkey_stats.yaml
@@ -0,0 +1,201 @@
+author: timm
+builds:
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+      set_success: 0.018718242645263672
+    device_type: x86
+    iterations: 100
+    onnx_file: /home/azureuser/.cache/turnkey/hrnet_w18_timm_3981ef26/onnx/hrnet_w18_timm_3981ef26-op16-base.onnx
+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/hrnet_w18.py
+class: HighResolutionNet
+hash: 15972cec
+model_name: hrnet_w18
+onnx_input_dimensions:
+  x:
+  - 1
+  - 3
+  - 224
+  - 224
+onnx_model_information:
+  ir_version: 8
+  opset: 16
+  size on disk (KiB): 83305.999
+onnx_ops_counter:
+  Add: 177
+  Constant: 31
+  Conv: 325
+  Flatten: 1
+  Gemm: 1
+  GlobalAveragePool: 1
+  Relu: 284
+  Resize: 31
+parameters: 21299004
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+  Memory Info: 62.79 GB
+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
+  Processor: Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
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diff --git a/Computer_Vision/hrnet_w18_Opset17_timm/hrnet_w18_Opset17.onnx b/Computer_Vision/hrnet_w18_Opset17_timm/hrnet_w18_Opset17.onnx
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diff --git a/Computer_Vision/hrnet_w18_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/hrnet_w18_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..b895eb91b
--- /dev/null
+++ b/Computer_Vision/hrnet_w18_Opset17_timm/turnkey_stats.yaml
@@ -0,0 +1,201 @@
+author: timm
+builds:
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+    - set_success
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+      set_success: 0.019671201705932617
+    device_type: x86
+    iterations: 100
+    onnx_file: /home/azureuser/.cache/turnkey/hrnet_w18_timm_3981ef26/onnx/hrnet_w18_timm_3981ef26-op17-base.onnx
+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/hrnet_w18.py
+class: HighResolutionNet
+hash: 15972cec
+model_name: hrnet_w18
+onnx_input_dimensions:
+  x:
+  - 1
+  - 3
+  - 224
+  - 224
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+  opset: 17
+  size on disk (KiB): 83305.999
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+  Add: 177
+  Constant: 31
+  Conv: 325
+  Flatten: 1
+  Gemm: 1
+  GlobalAveragePool: 1
+  Relu: 284
+  Resize: 31
+parameters: 21299004
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+  Memory Info: 62.79 GB
+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
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new file mode 100644
index 000000000..5b9d40273
--- /dev/null
+++ b/Computer_Vision/hrnet_w18_Opset18_timm/hrnet_w18_Opset18.onnx
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diff --git a/Computer_Vision/hrnet_w18_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/hrnet_w18_Opset18_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..161163bdb
--- /dev/null
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+    runtime: ort
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+  - 1
+  - 3
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+  - 224
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+  Constant: 31
+  Conv: 325
+  Flatten: 1
+  Gemm: 1
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new file mode 100644
index 000000000..f000de151
--- /dev/null
+++ b/Computer_Vision/hrnet_w18_small_Opset16_timm/turnkey_stats.yaml
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+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/hrnet_w18_small.py
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diff --git a/Computer_Vision/hrnet_w18_small_Opset17_timm/hrnet_w18_small_Opset17.onnx b/Computer_Vision/hrnet_w18_small_Opset17_timm/hrnet_w18_small_Opset17.onnx
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--- /dev/null
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diff --git a/Computer_Vision/hrnet_w18_small_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/hrnet_w18_small_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..5fb05260d
--- /dev/null
+++ b/Computer_Vision/hrnet_w18_small_Opset17_timm/turnkey_stats.yaml
@@ -0,0 +1,201 @@
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+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/hrnet_w18_small.py
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diff --git a/Computer_Vision/hrnet_w18_small_Opset18_timm/hrnet_w18_small_Opset18.onnx b/Computer_Vision/hrnet_w18_small_Opset18_timm/hrnet_w18_small_Opset18.onnx
new file mode 100644
index 000000000..be32058ac
--- /dev/null
+++ b/Computer_Vision/hrnet_w18_small_Opset18_timm/hrnet_w18_small_Opset18.onnx
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diff --git a/Computer_Vision/hrnet_w18_small_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/hrnet_w18_small_Opset18_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..518d57622
--- /dev/null
+++ b/Computer_Vision/hrnet_w18_small_Opset18_timm/turnkey_stats.yaml
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+author: timm
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/hrnet_w18_small.py
+class: HighResolutionNet
+hash: 7e530df2
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+  - 224
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+  Constant: 10
+  Conv: 91
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+parameters: 13187464
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diff --git a/Computer_Vision/hrnet_w18_small_v2_Opset16_timm/hrnet_w18_small_v2_Opset16.onnx b/Computer_Vision/hrnet_w18_small_v2_Opset16_timm/hrnet_w18_small_v2_Opset16.onnx
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diff --git a/Computer_Vision/hrnet_w18_small_v2_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/hrnet_w18_small_v2_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..4dae6db13
--- /dev/null
+++ b/Computer_Vision/hrnet_w18_small_v2_Opset16_timm/turnkey_stats.yaml
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+author: timm
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/hrnet_w18_small_v2.py
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+hash: ca883476
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+  - 224
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+parameters: 15597464
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+  OEM System: Virtual Machine
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diff --git a/Computer_Vision/hrnet_w18_small_v2_Opset17_timm/hrnet_w18_small_v2_Opset17.onnx b/Computer_Vision/hrnet_w18_small_v2_Opset17_timm/hrnet_w18_small_v2_Opset17.onnx
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diff --git a/Computer_Vision/hrnet_w18_small_v2_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/hrnet_w18_small_v2_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..b9f9495ce
--- /dev/null
+++ b/Computer_Vision/hrnet_w18_small_v2_Opset17_timm/turnkey_stats.yaml
@@ -0,0 +1,201 @@
+author: timm
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+hash: ca883476
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+  - 224
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+  Constant: 22
+  Conv: 164
+  Flatten: 1
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+  Relu: 134
+  Resize: 22
+parameters: 15597464
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diff --git a/Computer_Vision/hrnet_w18_small_v2_Opset18_timm/hrnet_w18_small_v2_Opset18.onnx b/Computer_Vision/hrnet_w18_small_v2_Opset18_timm/hrnet_w18_small_v2_Opset18.onnx
new file mode 100644
index 000000000..dcd9ea2a5
--- /dev/null
+++ b/Computer_Vision/hrnet_w18_small_v2_Opset18_timm/hrnet_w18_small_v2_Opset18.onnx
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diff --git a/Computer_Vision/hrnet_w18_small_v2_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/hrnet_w18_small_v2_Opset18_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..1d9f7fc97
--- /dev/null
+++ b/Computer_Vision/hrnet_w18_small_v2_Opset18_timm/turnkey_stats.yaml
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+author: timm
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+      set_success: 0.016906023025512695
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/hrnet_w18_small_v2.py
+class: HighResolutionNet
+hash: ca883476
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+  x:
+  - 1
+  - 3
+  - 224
+  - 224
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+  opset: 18
+  size on disk (KiB): 60960.9863
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+  Add: 91
+  Constant: 22
+  Conv: 164
+  Flatten: 1
+  Gemm: 1
+  GlobalAveragePool: 1
+  Relu: 134
+  Resize: 22
+parameters: 15597464
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+  Memory Info: 62.79 GB
+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
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diff --git a/Computer_Vision/hrnet_w30_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/hrnet_w30_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..f1cbf6c02
--- /dev/null
+++ b/Computer_Vision/hrnet_w30_Opset16_timm/turnkey_stats.yaml
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+author: timm
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+      set_success: 0.022602558135986328
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/hrnet_w30.py
+class: HighResolutionNet
+hash: 21545d6f
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+  - 224
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+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
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--- /dev/null
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diff --git a/Computer_Vision/hrnet_w30_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/hrnet_w30_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..82dc36bf1
--- /dev/null
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+    runtime: ort
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+hash: 21545d6f
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+  - 224
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+  Constant: 31
+  Conv: 325
+  Flatten: 1
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+parameters: 37712220
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diff --git a/Computer_Vision/hrnet_w30_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/hrnet_w30_Opset18_timm/turnkey_stats.yaml
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index 000000000..22d01d8b7
--- /dev/null
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diff --git a/Computer_Vision/hrnet_w32_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/hrnet_w32_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..a2ba65ab2
--- /dev/null
+++ b/Computer_Vision/hrnet_w32_Opset16_timm/turnkey_stats.yaml
@@ -0,0 +1,201 @@
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diff --git a/Computer_Vision/hrnet_w32_Opset17_timm/hrnet_w32_Opset17.onnx b/Computer_Vision/hrnet_w32_Opset17_timm/hrnet_w32_Opset17.onnx
new file mode 100644
index 000000000..5d6168df4
--- /dev/null
+++ b/Computer_Vision/hrnet_w32_Opset17_timm/hrnet_w32_Opset17.onnx
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:cc133c180f1c1f0d3ac870900ad0a74cfb46464619d00b22955f1be089ad7c22
+size 164993854
diff --git a/Computer_Vision/hrnet_w32_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/hrnet_w32_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..ab15cfd12
--- /dev/null
+++ b/Computer_Vision/hrnet_w32_Opset17_timm/turnkey_stats.yaml
@@ -0,0 +1,201 @@
+author: timm
+builds:
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+      set_success: 0.019273996353149414
+    device_type: x86
+    iterations: 100
+    onnx_file: /home/azureuser/.cache/turnkey/hrnet_w32_timm_442e97f3/onnx/hrnet_w32_timm_442e97f3-op17-base.onnx
+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/hrnet_w32.py
+class: HighResolutionNet
+hash: 305f9cda
+model_name: hrnet_w32
+onnx_input_dimensions:
+  x:
+  - 1
+  - 3
+  - 224
+  - 224
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+  opset: 17
+  size on disk (KiB): 161126.8428
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+  Add: 177
+  Constant: 31
+  Conv: 325
+  Flatten: 1
+  Gemm: 1
+  GlobalAveragePool: 1
+  Relu: 284
+  Resize: 31
+parameters: 41232680
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+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
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diff --git a/Computer_Vision/hrnet_w32_Opset18_timm/hrnet_w32_Opset18.onnx b/Computer_Vision/hrnet_w32_Opset18_timm/hrnet_w32_Opset18.onnx
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diff --git a/Computer_Vision/hrnet_w32_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/hrnet_w32_Opset18_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..dc792210f
--- /dev/null
+++ b/Computer_Vision/hrnet_w32_Opset18_timm/turnkey_stats.yaml
@@ -0,0 +1,201 @@
+author: timm
+builds:
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+    - set_success
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+      set_success: 0.022072553634643555
+    device_type: x86
+    iterations: 100
+    onnx_file: /home/azureuser/.cache/turnkey/hrnet_w32_timm_442e97f3/onnx/hrnet_w32_timm_442e97f3-op18-base.onnx
+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/hrnet_w32.py
+class: HighResolutionNet
+hash: 305f9cda
+model_name: hrnet_w32
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+  - 3
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+  - 224
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+  Constant: 31
+  Conv: 325
+  Flatten: 1
+  Gemm: 1
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+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
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diff --git a/Computer_Vision/hrnet_w40_Opset16_timm/hrnet_w40_Opset16.onnx b/Computer_Vision/hrnet_w40_Opset16_timm/hrnet_w40_Opset16.onnx
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index 000000000..0a9c3d159
--- /dev/null
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@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
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diff --git a/Computer_Vision/hrnet_w40_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/hrnet_w40_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..67dfa3433
--- /dev/null
+++ b/Computer_Vision/hrnet_w40_Opset16_timm/turnkey_stats.yaml
@@ -0,0 +1,201 @@
+author: timm
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+  x86_ort:
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+      set_success: 0.018790721893310547
+    device_type: x86
+    iterations: 100
+    onnx_file: /home/azureuser/.cache/turnkey/hrnet_w40_timm_2c734eea/onnx/hrnet_w40_timm_2c734eea-op16-base.onnx
+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/hrnet_w40.py
+class: HighResolutionNet
+hash: 1678f194
+model_name: hrnet_w40
+onnx_input_dimensions:
+  x:
+  - 1
+  - 3
+  - 224
+  - 224
+onnx_model_information:
+  ir_version: 8
+  opset: 16
+  size on disk (KiB): 224868.2178
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+  Add: 177
+  Constant: 31
+  Conv: 325
+  Flatten: 1
+  Gemm: 1
+  GlobalAveragePool: 1
+  Relu: 284
+  Resize: 31
+parameters: 57557160
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+  Memory Info: 62.79 GB
+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
+  Processor: Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
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diff --git a/Computer_Vision/hrnet_w40_Opset17_timm/hrnet_w40_Opset17.onnx b/Computer_Vision/hrnet_w40_Opset17_timm/hrnet_w40_Opset17.onnx
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new file mode 100644
index 000000000..008b4f442
--- /dev/null
+++ b/Computer_Vision/hrnet_w40_Opset17_timm/turnkey_stats.yaml
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+author: timm
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+      set_success: 0.019053936004638672
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+    onnx_file: /home/azureuser/.cache/turnkey/hrnet_w40_timm_2c734eea/onnx/hrnet_w40_timm_2c734eea-op17-base.onnx
+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/hrnet_w40.py
+class: HighResolutionNet
+hash: 1678f194
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+  - 3
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+  - 224
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+  opset: 17
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+  Add: 177
+  Constant: 31
+  Conv: 325
+  Flatten: 1
+  Gemm: 1
+  GlobalAveragePool: 1
+  Relu: 284
+  Resize: 31
+parameters: 57557160
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+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
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diff --git a/Computer_Vision/hrnet_w40_Opset18_timm/hrnet_w40_Opset18.onnx b/Computer_Vision/hrnet_w40_Opset18_timm/hrnet_w40_Opset18.onnx
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index 000000000..14147afe2
--- /dev/null
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diff --git a/Computer_Vision/hrnet_w40_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/hrnet_w40_Opset18_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..c47c91251
--- /dev/null
+++ b/Computer_Vision/hrnet_w40_Opset18_timm/turnkey_stats.yaml
@@ -0,0 +1,201 @@
+author: timm
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+      set_success: 0.02859640121459961
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/hrnet_w40.py
+class: HighResolutionNet
+hash: 1678f194
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+  - 224
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+  size on disk (KiB): 224868.2178
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+  Constant: 31
+  Conv: 325
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+  Gemm: 1
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+parameters: 57557160
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diff --git a/Computer_Vision/hrnet_w44_Opset16_timm/hrnet_w44_Opset16.onnx b/Computer_Vision/hrnet_w44_Opset16_timm/hrnet_w44_Opset16.onnx
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index 000000000..6d6588750
--- /dev/null
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diff --git a/Computer_Vision/hrnet_w44_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/hrnet_w44_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..c91ea3e54
--- /dev/null
+++ b/Computer_Vision/hrnet_w44_Opset16_timm/turnkey_stats.yaml
@@ -0,0 +1,201 @@
+author: timm
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/hrnet_w44.py
+class: HighResolutionNet
+hash: a0eb99ec
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+  - 1
+  - 3
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+  - 224
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+  Constant: 31
+  Conv: 325
+  Flatten: 1
+  Gemm: 1
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+  Relu: 284
+  Resize: 31
+parameters: 67064984
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diff --git a/Computer_Vision/hrnet_w44_Opset17_timm/hrnet_w44_Opset17.onnx b/Computer_Vision/hrnet_w44_Opset17_timm/hrnet_w44_Opset17.onnx
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new file mode 100644
index 000000000..74b5e09e6
--- /dev/null
+++ b/Computer_Vision/hrnet_w44_Opset17_timm/turnkey_stats.yaml
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+author: timm
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/hrnet_w44.py
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+hash: a0eb99ec
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+  Constant: 31
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diff --git a/Computer_Vision/hrnet_w44_Opset18_timm/hrnet_w44_Opset18.onnx b/Computer_Vision/hrnet_w44_Opset18_timm/hrnet_w44_Opset18.onnx
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index 000000000..2be93e1c1
--- /dev/null
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+version https://git-lfs.github.com/spec/v1
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diff --git a/Computer_Vision/hrnet_w44_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/hrnet_w44_Opset18_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..7d248e798
--- /dev/null
+++ b/Computer_Vision/hrnet_w44_Opset18_timm/turnkey_stats.yaml
@@ -0,0 +1,201 @@
+author: timm
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/hrnet_w44.py
+class: HighResolutionNet
+hash: a0eb99ec
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+  - 224
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+  size on disk (KiB): 261995.1006
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+  Constant: 31
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+  Gemm: 1
+  GlobalAveragePool: 1
+  Relu: 284
+  Resize: 31
+parameters: 67064984
+system_info:
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diff --git a/Computer_Vision/hrnet_w48_Opset16_timm/hrnet_w48_Opset16.onnx b/Computer_Vision/hrnet_w48_Opset16_timm/hrnet_w48_Opset16.onnx
new file mode 100644
index 000000000..6e5d720b0
--- /dev/null
+++ b/Computer_Vision/hrnet_w48_Opset16_timm/hrnet_w48_Opset16.onnx
@@ -0,0 +1,3 @@
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diff --git a/Computer_Vision/hrnet_w48_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/hrnet_w48_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..6edc71e7f
--- /dev/null
+++ b/Computer_Vision/hrnet_w48_Opset16_timm/turnkey_stats.yaml
@@ -0,0 +1,201 @@
+author: timm
+builds:
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/hrnet_w48.py
+class: HighResolutionNet
+hash: 6ae9aeaa
+model_name: hrnet_w48
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+  x:
+  - 1
+  - 3
+  - 224
+  - 224
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+  ir_version: 8
+  opset: 16
+  size on disk (KiB): 302626.1172
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+  Add: 177
+  Constant: 31
+  Conv: 325
+  Flatten: 1
+  Gemm: 1
+  GlobalAveragePool: 1
+  Relu: 284
+  Resize: 31
+parameters: 77469864
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+  OEM System: Virtual Machine
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diff --git a/Computer_Vision/hrnet_w48_Opset17_timm/hrnet_w48_Opset17.onnx b/Computer_Vision/hrnet_w48_Opset17_timm/hrnet_w48_Opset17.onnx
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diff --git a/Computer_Vision/hrnet_w48_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/hrnet_w48_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..98ae2c283
--- /dev/null
+++ b/Computer_Vision/hrnet_w48_Opset17_timm/turnkey_stats.yaml
@@ -0,0 +1,201 @@
+author: timm
+builds:
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+    - set_success
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+      set_success: 0.02104783058166504
+    device_type: x86
+    iterations: 100
+    onnx_file: /home/azureuser/.cache/turnkey/hrnet_w48_timm_67967af1/onnx/hrnet_w48_timm_67967af1-op17-base.onnx
+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/hrnet_w48.py
+class: HighResolutionNet
+hash: 6ae9aeaa
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+  - 1
+  - 3
+  - 224
+  - 224
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+  opset: 17
+  size on disk (KiB): 302626.1172
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+  Constant: 31
+  Conv: 325
+  Flatten: 1
+  Gemm: 1
+  GlobalAveragePool: 1
+  Relu: 284
+  Resize: 31
+parameters: 77469864
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+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
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--- /dev/null
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diff --git a/Computer_Vision/hrnet_w48_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/hrnet_w48_Opset18_timm/turnkey_stats.yaml
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index 000000000..a62bf25c0
--- /dev/null
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+    runtime: ort
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index 000000000..00e93e061
--- /dev/null
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index 000000000..26665acc6
--- /dev/null
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index 000000000..cf5d7a938
--- /dev/null
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diff --git a/Computer_Vision/ig_resnext101_32x16d_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/ig_resnext101_32x16d_Opset16_timm/turnkey_stats.yaml
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--- /dev/null
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diff --git a/Computer_Vision/ig_resnext101_32x16d_Opset17_timm/ig_resnext101_32x16d_Opset17.onnx b/Computer_Vision/ig_resnext101_32x16d_Opset17_timm/ig_resnext101_32x16d_Opset17.onnx
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diff --git a/Computer_Vision/ig_resnext101_32x16d_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/ig_resnext101_32x16d_Opset17_timm/turnkey_stats.yaml
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+  - 224
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diff --git a/Computer_Vision/ig_resnext101_32x16d_Opset18_timm/ig_resnext101_32x16d_Opset18.onnx b/Computer_Vision/ig_resnext101_32x16d_Opset18_timm/ig_resnext101_32x16d_Opset18.onnx
new file mode 100644
index 000000000..dfe3a046a
--- /dev/null
+++ b/Computer_Vision/ig_resnext101_32x16d_Opset18_timm/ig_resnext101_32x16d_Opset18.onnx
@@ -0,0 +1,3 @@
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diff --git a/Computer_Vision/ig_resnext101_32x16d_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/ig_resnext101_32x16d_Opset18_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..5dcb15434
--- /dev/null
+++ b/Computer_Vision/ig_resnext101_32x16d_Opset18_timm/turnkey_stats.yaml
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+    runtime: ort
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+hash: a37f8b3b
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+  - 224
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+  Conv: 104
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+parameters: 88791336
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new file mode 100644
index 000000000..09507d273
--- /dev/null
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+    runtime: ort
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diff --git a/Computer_Vision/ig_resnext101_32x32d_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/ig_resnext101_32x32d_Opset17_timm/turnkey_stats.yaml
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--- /dev/null
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diff --git a/Computer_Vision/ig_resnext101_32x48d_Opset16_timm/ig_resnext101_32x48d_Opset16.onnx b/Computer_Vision/ig_resnext101_32x48d_Opset16_timm/ig_resnext101_32x48d_Opset16.onnx
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diff --git a/Computer_Vision/ig_resnext101_32x48d_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/ig_resnext101_32x48d_Opset16_timm/turnkey_stats.yaml
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index 000000000..e22c24004
--- /dev/null
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diff --git a/Computer_Vision/ig_resnext101_32x48d_Opset17_timm/ig_resnext101_32x48d_Opset17.onnx b/Computer_Vision/ig_resnext101_32x48d_Opset17_timm/ig_resnext101_32x48d_Opset17.onnx
new file mode 100644
index 000000000..913b0d54d
--- /dev/null
+++ b/Computer_Vision/ig_resnext101_32x48d_Opset17_timm/ig_resnext101_32x48d_Opset17.onnx
@@ -0,0 +1,3 @@
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diff --git a/Computer_Vision/ig_resnext101_32x48d_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/ig_resnext101_32x48d_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..f7071a54a
--- /dev/null
+++ b/Computer_Vision/ig_resnext101_32x48d_Opset17_timm/turnkey_stats.yaml
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+author: timm
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+      set_success: 0.017323017120361328
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/ig_resnext101_32x48d.py
+class: ResNet
+hash: a37f8b3b
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+  - 3
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+  - 224
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+  Add: 33
+  Conv: 104
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+parameters: 88791336
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diff --git a/Computer_Vision/ig_resnext101_32x48d_Opset18_timm/ig_resnext101_32x48d_Opset18.onnx b/Computer_Vision/ig_resnext101_32x48d_Opset18_timm/ig_resnext101_32x48d_Opset18.onnx
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diff --git a/Computer_Vision/ig_resnext101_32x48d_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/ig_resnext101_32x48d_Opset18_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..da6b8c14c
--- /dev/null
+++ b/Computer_Vision/ig_resnext101_32x48d_Opset18_timm/turnkey_stats.yaml
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+author: timm
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/ig_resnext101_32x48d.py
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+hash: a37f8b3b
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+  - 224
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+  Conv: 104
+  Flatten: 1
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+  GlobalAveragePool: 1
+  MaxPool: 1
+  Relu: 100
+parameters: 88791336
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+  OEM System: Virtual Machine
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diff --git a/Computer_Vision/ig_resnext101_32x8d_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/ig_resnext101_32x8d_Opset16_timm/turnkey_stats.yaml
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diff --git a/Computer_Vision/ig_resnext101_32x8d_Opset18_timm/ig_resnext101_32x8d_Opset18.onnx b/Computer_Vision/ig_resnext101_32x8d_Opset18_timm/ig_resnext101_32x8d_Opset18.onnx
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index 000000000..180b58695
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diff --git a/Computer_Vision/inception_resnet_v2_Opset18_timm/inception_resnet_v2_Opset18.onnx b/Computer_Vision/inception_resnet_v2_Opset18_timm/inception_resnet_v2_Opset18.onnx
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index 000000000..bd21a57cc
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index 000000000..a8e1d9464
--- /dev/null
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new file mode 100644
index 000000000..2d7949210
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index 000000000..ed538698a
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new file mode 100644
index 000000000..817e86dec
--- /dev/null
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diff --git a/Computer_Vision/legacy_senet154_Opset16_timm/legacy_senet154_Opset16.onnx b/Computer_Vision/legacy_senet154_Opset16_timm/legacy_senet154_Opset16.onnx
new file mode 100644
index 000000000..e01d0bbfc
--- /dev/null
+++ b/Computer_Vision/legacy_senet154_Opset16_timm/legacy_senet154_Opset16.onnx
@@ -0,0 +1,3 @@
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diff --git a/Computer_Vision/legacy_senet154_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/legacy_senet154_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..3d8fba568
--- /dev/null
+++ b/Computer_Vision/legacy_senet154_Opset16_timm/turnkey_stats.yaml
@@ -0,0 +1,203 @@
+author: timm
+builds:
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/legacy_senet154.py
+class: SENet
+hash: fdb00edd
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+  x:
+  - 1
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+  Add: 50
+  Conv: 257
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+  MaxPool: 1
+  Mul: 50
+  ReduceMean: 50
+  Relu: 203
+  Sigmoid: 50
+parameters: 115088984
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diff --git a/Computer_Vision/legacy_senet154_Opset17_timm/legacy_senet154_Opset17.onnx b/Computer_Vision/legacy_senet154_Opset17_timm/legacy_senet154_Opset17.onnx
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diff --git a/Computer_Vision/legacy_senet154_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/legacy_senet154_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..21f5dcf84
--- /dev/null
+++ b/Computer_Vision/legacy_senet154_Opset17_timm/turnkey_stats.yaml
@@ -0,0 +1,203 @@
+author: timm
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+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/legacy_senet154.py
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+  ReduceMean: 50
+  Relu: 203
+  Sigmoid: 50
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+  OEM System: Virtual Machine
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index 000000000..18665ad48
--- /dev/null
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new file mode 100644
index 000000000..f5125631b
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diff --git a/Computer_Vision/legacy_seresnext101_32x4d_Opset16_timm/legacy_seresnext101_32x4d_Opset16.onnx b/Computer_Vision/legacy_seresnext101_32x4d_Opset16_timm/legacy_seresnext101_32x4d_Opset16.onnx
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diff --git a/Computer_Vision/legacy_seresnext101_32x4d_Opset17_timm/legacy_seresnext101_32x4d_Opset17.onnx b/Computer_Vision/legacy_seresnext101_32x4d_Opset17_timm/legacy_seresnext101_32x4d_Opset17.onnx
new file mode 100644
index 000000000..e83a0af63
--- /dev/null
+++ b/Computer_Vision/legacy_seresnext101_32x4d_Opset17_timm/legacy_seresnext101_32x4d_Opset17.onnx
@@ -0,0 +1,3 @@
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diff --git a/Computer_Vision/legacy_seresnext101_32x4d_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/legacy_seresnext101_32x4d_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..41d96ffe1
--- /dev/null
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+author: timm
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+    runtime: ort
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diff --git a/Computer_Vision/legacy_seresnext26_32x4d_Opset16_timm/legacy_seresnext26_32x4d_Opset16.onnx b/Computer_Vision/legacy_seresnext26_32x4d_Opset16_timm/legacy_seresnext26_32x4d_Opset16.onnx
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diff --git a/Computer_Vision/legacy_seresnext26_32x4d_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/legacy_seresnext26_32x4d_Opset16_timm/turnkey_stats.yaml
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--- /dev/null
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+author: timm
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+  OEM System: Virtual Machine
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diff --git a/Computer_Vision/legacy_seresnext50_32x4d_Opset17_timm/legacy_seresnext50_32x4d_Opset17.onnx b/Computer_Vision/legacy_seresnext50_32x4d_Opset17_timm/legacy_seresnext50_32x4d_Opset17.onnx
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diff --git a/Computer_Vision/levit_128_Opset16_timm/levit_128_Opset16.onnx b/Computer_Vision/levit_128_Opset16_timm/levit_128_Opset16.onnx
new file mode 100644
index 000000000..8d92266b4
--- /dev/null
+++ b/Computer_Vision/levit_128_Opset16_timm/levit_128_Opset16.onnx
@@ -0,0 +1,3 @@
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diff --git a/Computer_Vision/levit_128_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/levit_128_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..dca3b97ed
--- /dev/null
+++ b/Computer_Vision/levit_128_Opset16_timm/turnkey_stats.yaml
@@ -0,0 +1,213 @@
+author: timm
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+hash: 5299a414
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index 000000000..046bcc6a1
--- /dev/null
+++ b/Computer_Vision/levit_128_Opset17_timm/turnkey_stats.yaml
@@ -0,0 +1,213 @@
+author: timm
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new file mode 100644
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--- /dev/null
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new file mode 100644
index 000000000..560324b99
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@@ -0,0 +1,213 @@
+author: timm
+builds:
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+    - export_pytorch
+    - set_success
+    benchmark_status: successful
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+    device_type: x86
+    iterations: 100
+    onnx_file: /home/azureuser/.cache/turnkey/levit_256_timm_fa736f2e/onnx/levit_256_timm_fa736f2e-op17-base.onnx
+    runtime: ort
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+class: LevitDistilled
+hash: 3e4dd7b7
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+  - 1
+  - 3
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+  - 224
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+  opset: 17
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+  BatchNormalization: 60
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+  Conv: 4
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+  Flatten: 58
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+  MatMul: 86
+  Mul: 14
+  ReduceMean: 1
+  Reshape: 93
+  Shape: 59
+  Slice: 5
+  Softmax: 14
+  Split: 14
+  Transpose: 57
+parameters: 18893876
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+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
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diff --git a/Computer_Vision/levit_384_Opset16_timm/levit_384_Opset16.onnx b/Computer_Vision/levit_384_Opset16_timm/levit_384_Opset16.onnx
new file mode 100644
index 000000000..777c2453a
--- /dev/null
+++ b/Computer_Vision/levit_384_Opset16_timm/levit_384_Opset16.onnx
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
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diff --git a/Computer_Vision/levit_384_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/levit_384_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..ec433de65
--- /dev/null
+++ b/Computer_Vision/levit_384_Opset16_timm/turnkey_stats.yaml
@@ -0,0 +1,213 @@
+author: timm
+builds:
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+    device_type: x86
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+    onnx_file: /home/azureuser/.cache/turnkey/levit_384_timm_7bfc691e/onnx/levit_384_timm_7bfc691e-op16-base.onnx
+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/levit_384.py
+class: LevitDistilled
+hash: d69d9665
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+  - 1
+  - 3
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+  - 224
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+  size on disk (KiB): 153809.0488
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+  BatchNormalization: 60
+  Concat: 1
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+  Reshape: 93
+  Shape: 59
+  Slice: 5
+  Softmax: 14
+  Split: 14
+  Transpose: 57
+parameters: 39128836
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+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
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new file mode 100644
index 000000000..9c31a4030
--- /dev/null
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diff --git a/Computer_Vision/levit_384_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/levit_384_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..9c2824e3d
--- /dev/null
+++ b/Computer_Vision/levit_384_Opset17_timm/turnkey_stats.yaml
@@ -0,0 +1,213 @@
+author: timm
+builds:
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+    - set_success
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+      set_success: 0.02002406120300293
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+    onnx_file: /home/azureuser/.cache/turnkey/levit_384_timm_7bfc691e/onnx/levit_384_timm_7bfc691e-op17-base.onnx
+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/levit_384.py
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+  - 224
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+  OEM System: Virtual Machine
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diff --git a/Computer_Vision/maskrcnn_resnet50_fpn_v2_Opset16_torchvision/maskrcnn_resnet50_fpn_v2_Opset16.onnx b/Computer_Vision/maskrcnn_resnet50_fpn_v2_Opset16_torchvision/maskrcnn_resnet50_fpn_v2_Opset16.onnx
new file mode 100644
index 000000000..3744d58b7
--- /dev/null
+++ b/Computer_Vision/maskrcnn_resnet50_fpn_v2_Opset16_torchvision/maskrcnn_resnet50_fpn_v2_Opset16.onnx
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diff --git a/Computer_Vision/maskrcnn_resnet50_fpn_v2_Opset16_torchvision/turnkey_stats.yaml b/Computer_Vision/maskrcnn_resnet50_fpn_v2_Opset16_torchvision/turnkey_stats.yaml
new file mode 100644
index 000000000..11ba2a502
--- /dev/null
+++ b/Computer_Vision/maskrcnn_resnet50_fpn_v2_Opset16_torchvision/turnkey_stats.yaml
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+    runtime: ort
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diff --git a/Computer_Vision/maskrcnn_resnet50_fpn_v2_Opset17_torchvision/turnkey_stats.yaml b/Computer_Vision/maskrcnn_resnet50_fpn_v2_Opset17_torchvision/turnkey_stats.yaml
new file mode 100644
index 000000000..45dc2b746
--- /dev/null
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diff --git a/Computer_Vision/maskrcnn_resnet50_fpn_v2_Opset18_torchvision/turnkey_stats.yaml b/Computer_Vision/maskrcnn_resnet50_fpn_v2_Opset18_torchvision/turnkey_stats.yaml
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diff --git a/Computer_Vision/mixer_b16_224_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/mixer_b16_224_Opset17_timm/turnkey_stats.yaml
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--- /dev/null
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diff --git a/Computer_Vision/mixer_b16_224_in21k_Opset16_timm/mixer_b16_224_in21k_Opset16.onnx b/Computer_Vision/mixer_b16_224_in21k_Opset16_timm/mixer_b16_224_in21k_Opset16.onnx
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diff --git a/Computer_Vision/mixer_b16_224_in21k_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/mixer_b16_224_in21k_Opset16_timm/turnkey_stats.yaml
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+    runtime: ort
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diff --git a/Computer_Vision/mixer_b16_224_in21k_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/mixer_b16_224_in21k_Opset17_timm/turnkey_stats.yaml
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+author: timm
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diff --git a/Computer_Vision/mixer_b16_224_miil_in21k_Opset17_timm/mixer_b16_224_miil_in21k_Opset17.onnx b/Computer_Vision/mixer_b16_224_miil_in21k_Opset17_timm/mixer_b16_224_miil_in21k_Opset17.onnx
new file mode 100644
index 000000000..08e2847a5
--- /dev/null
+++ b/Computer_Vision/mixer_b16_224_miil_in21k_Opset17_timm/mixer_b16_224_miil_in21k_Opset17.onnx
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diff --git a/Computer_Vision/mixer_b16_224_miil_in21k_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/mixer_b16_224_miil_in21k_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..06477a42c
--- /dev/null
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+author: timm
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+    runtime: ort
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+  - 224
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diff --git a/Computer_Vision/mixer_l16_224_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/mixer_l16_224_Opset16_timm/turnkey_stats.yaml
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index 000000000..feebcda5d
--- /dev/null
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diff --git a/Computer_Vision/mixer_l16_224_Opset17_timm/mixer_l16_224_Opset17.onnx b/Computer_Vision/mixer_l16_224_Opset17_timm/mixer_l16_224_Opset17.onnx
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index 000000000..7bf625827
--- /dev/null
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new file mode 100644
index 000000000..d2ef26f82
--- /dev/null
+++ b/Computer_Vision/mixer_l16_224_Opset17_timm/turnkey_stats.yaml
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--- /dev/null
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diff --git a/Computer_Vision/mixer_l16_224_in21k_Opset17_timm/mixer_l16_224_in21k_Opset17.onnx b/Computer_Vision/mixer_l16_224_in21k_Opset17_timm/mixer_l16_224_in21k_Opset17.onnx
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--- /dev/null
+++ b/Computer_Vision/mixer_l16_224_in21k_Opset17_timm/turnkey_stats.yaml
@@ -0,0 +1,208 @@
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new file mode 100644
index 000000000..058e9ea99
--- /dev/null
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diff --git a/Computer_Vision/mixnet_l_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/mixnet_l_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..18b841672
--- /dev/null
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@@ -0,0 +1,206 @@
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index 000000000..9f1788794
--- /dev/null
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@@ -0,0 +1,206 @@
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diff --git a/Computer_Vision/mixnet_m_Opset16_timm/mixnet_m_Opset16.onnx b/Computer_Vision/mixnet_m_Opset16_timm/mixnet_m_Opset16.onnx
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diff --git a/Computer_Vision/mixnet_m_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/mixnet_m_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..5d5792b28
--- /dev/null
+++ b/Computer_Vision/mixnet_m_Opset16_timm/turnkey_stats.yaml
@@ -0,0 +1,206 @@
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new file mode 100644
index 000000000..00cb0db72
--- /dev/null
+++ b/Computer_Vision/mixnet_m_Opset17_timm/mixnet_m_Opset17.onnx
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diff --git a/Computer_Vision/mixnet_m_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/mixnet_m_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..ffa019a63
--- /dev/null
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new file mode 100644
index 000000000..b705b3a90
--- /dev/null
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new file mode 100644
index 000000000..b097210e1
--- /dev/null
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new file mode 100644
index 000000000..ad34644a2
--- /dev/null
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index 000000000..49e7e8044
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index 000000000..65d125687
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diff --git a/Computer_Vision/mnasnet0_5_Opset16_torch_hub/mnasnet0_5_Opset16.onnx b/Computer_Vision/mnasnet0_5_Opset16_torch_hub/mnasnet0_5_Opset16.onnx
new file mode 100644
index 000000000..3baae969d
--- /dev/null
+++ b/Computer_Vision/mnasnet0_5_Opset16_torch_hub/mnasnet0_5_Opset16.onnx
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
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+size 8859805
diff --git a/Computer_Vision/mnasnet0_5_Opset16_torch_hub/turnkey_stats.yaml b/Computer_Vision/mnasnet0_5_Opset16_torch_hub/turnkey_stats.yaml
new file mode 100644
index 000000000..776b9c158
--- /dev/null
+++ b/Computer_Vision/mnasnet0_5_Opset16_torch_hub/turnkey_stats.yaml
@@ -0,0 +1,198 @@
+author: torch_hub
+builds:
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+    - export_pytorch
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+      set_success: 0.01900959014892578
+    device_type: x86
+    iterations: 100
+    onnx_file: /home/azureuser/.cache/turnkey/mnasnet0_5_torch_hub_e2379312/onnx/mnasnet0_5_torch_hub_e2379312-op16-base.onnx
+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/torch_hub/mnasnet0_5.py
+class: MNASNet
+hash: 913218e2
+model_name: mnasnet0_5
+onnx_input_dimensions:
+  x:
+  - 1
+  - 3
+  - 224
+  - 224
+onnx_model_information:
+  ir_version: 8
+  opset: 16
+  size on disk (KiB): 8652.1855
+onnx_ops_counter:
+  Add: 10
+  Conv: 52
+  Gemm: 1
+  ReduceMean: 1
+  Relu: 35
+parameters: 2218512
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+  OEM System: Virtual Machine
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diff --git a/Computer_Vision/mnasnet0_5_Opset17_torch_hub/mnasnet0_5_Opset17.onnx b/Computer_Vision/mnasnet0_5_Opset17_torch_hub/mnasnet0_5_Opset17.onnx
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diff --git a/Computer_Vision/mnasnet0_5_Opset17_torch_hub/turnkey_stats.yaml b/Computer_Vision/mnasnet0_5_Opset17_torch_hub/turnkey_stats.yaml
new file mode 100644
index 000000000..48f5bb35a
--- /dev/null
+++ b/Computer_Vision/mnasnet0_5_Opset17_torch_hub/turnkey_stats.yaml
@@ -0,0 +1,198 @@
+author: torch_hub
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+    - set_success
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+      set_success: 0.023654937744140625
+    device_type: x86
+    iterations: 100
+    onnx_file: /home/azureuser/.cache/turnkey/mnasnet0_5_torch_hub_e2379312/onnx/mnasnet0_5_torch_hub_e2379312-op17-base.onnx
+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/torch_hub/mnasnet0_5.py
+class: MNASNet
+hash: 913218e2
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+  - 1
+  - 3
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+  - 224
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+  opset: 17
+  size on disk (KiB): 8652.1855
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+  Add: 10
+  Conv: 52
+  Gemm: 1
+  ReduceMean: 1
+  Relu: 35
+parameters: 2218512
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+  Memory Info: 62.79 GB
+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
+  Processor: Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
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diff --git a/Computer_Vision/mnasnet0_75_Opset16_torch_hub/turnkey_stats.yaml b/Computer_Vision/mnasnet0_75_Opset16_torch_hub/turnkey_stats.yaml
new file mode 100644
index 000000000..45fe98011
--- /dev/null
+++ b/Computer_Vision/mnasnet0_75_Opset16_torch_hub/turnkey_stats.yaml
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diff --git a/Computer_Vision/mnasnet1_0_Opset16_torch_hub/turnkey_stats.yaml b/Computer_Vision/mnasnet1_0_Opset16_torch_hub/turnkey_stats.yaml
new file mode 100644
index 000000000..2cce4c20b
--- /dev/null
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diff --git a/Computer_Vision/mnasnet1_0_Opset17_torch_hub/turnkey_stats.yaml b/Computer_Vision/mnasnet1_0_Opset17_torch_hub/turnkey_stats.yaml
new file mode 100644
index 000000000..3edb9b1a0
--- /dev/null
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index 000000000..10e1abd5a
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+  OEM System: Virtual Machine
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diff --git a/Computer_Vision/mnasnet_100_Opset16_timm/mnasnet_100_Opset16.onnx b/Computer_Vision/mnasnet_100_Opset16_timm/mnasnet_100_Opset16.onnx
new file mode 100644
index 000000000..8c47fc46e
--- /dev/null
+++ b/Computer_Vision/mnasnet_100_Opset16_timm/mnasnet_100_Opset16.onnx
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diff --git a/Computer_Vision/mnasnet_100_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/mnasnet_100_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..725368e86
--- /dev/null
+++ b/Computer_Vision/mnasnet_100_Opset16_timm/turnkey_stats.yaml
@@ -0,0 +1,199 @@
+author: timm
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/mnasnet_100.py
+class: EfficientNet
+hash: d1d8126f
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+  x:
+  - 1
+  - 3
+  - 224
+  - 224
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+  Add: 10
+  Conv: 52
+  Flatten: 1
+  Gemm: 1
+  GlobalAveragePool: 1
+  Relu: 35
+parameters: 4383312
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+  Memory Info: 62.79 GB
+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
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diff --git a/Computer_Vision/mnasnet_100_Opset17_timm/mnasnet_100_Opset17.onnx b/Computer_Vision/mnasnet_100_Opset17_timm/mnasnet_100_Opset17.onnx
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diff --git a/Computer_Vision/mnasnet_100_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/mnasnet_100_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..6c289c438
--- /dev/null
+++ b/Computer_Vision/mnasnet_100_Opset17_timm/turnkey_stats.yaml
@@ -0,0 +1,199 @@
+author: timm
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+      set_success: 0.014541864395141602
+    device_type: x86
+    iterations: 100
+    onnx_file: /home/azureuser/.cache/turnkey/mnasnet_100_timm_5957f540/onnx/mnasnet_100_timm_5957f540-op17-base.onnx
+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/mnasnet_100.py
+class: EfficientNet
+hash: d1d8126f
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+  - 224
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+  Conv: 52
+  Flatten: 1
+  Gemm: 1
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+parameters: 4383312
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+  OEM System: Virtual Machine
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diff --git a/Computer_Vision/mnasnet_100_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/mnasnet_100_Opset18_timm/turnkey_stats.yaml
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index 000000000..398d2159d
--- /dev/null
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index 000000000..56208b0d5
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diff --git a/Computer_Vision/mnasnet_a1_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/mnasnet_a1_Opset17_timm/turnkey_stats.yaml
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index 000000000..f1992e6cc
--- /dev/null
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diff --git a/Computer_Vision/mnasnet_b1_Opset16_timm/mnasnet_b1_Opset16.onnx b/Computer_Vision/mnasnet_b1_Opset16_timm/mnasnet_b1_Opset16.onnx
new file mode 100644
index 000000000..8c47fc46e
--- /dev/null
+++ b/Computer_Vision/mnasnet_b1_Opset16_timm/mnasnet_b1_Opset16.onnx
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diff --git a/Computer_Vision/mnasnet_b1_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/mnasnet_b1_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..848023351
--- /dev/null
+++ b/Computer_Vision/mnasnet_b1_Opset16_timm/turnkey_stats.yaml
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+author: timm
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/mnasnet_b1.py
+class: EfficientNet
+hash: d1d8126f
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+  - 1
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+  Add: 10
+  Conv: 52
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+parameters: 4383312
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diff --git a/Computer_Vision/mnasnet_b1_Opset17_timm/mnasnet_b1_Opset17.onnx b/Computer_Vision/mnasnet_b1_Opset17_timm/mnasnet_b1_Opset17.onnx
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diff --git a/Computer_Vision/mnasnet_b1_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/mnasnet_b1_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..dbd5583ee
--- /dev/null
+++ b/Computer_Vision/mnasnet_b1_Opset17_timm/turnkey_stats.yaml
@@ -0,0 +1,199 @@
+author: timm
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+    onnx_file: /home/azureuser/.cache/turnkey/mnasnet_b1_timm_5957f540/onnx/mnasnet_b1_timm_5957f540-op17-base.onnx
+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/mnasnet_b1.py
+class: EfficientNet
+hash: d1d8126f
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+  - 224
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+  Conv: 52
+  Flatten: 1
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diff --git a/Computer_Vision/mnasnet_b1_Opset18_timm/mnasnet_b1_Opset18.onnx b/Computer_Vision/mnasnet_b1_Opset18_timm/mnasnet_b1_Opset18.onnx
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--- /dev/null
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diff --git a/Computer_Vision/mnasnet_b1_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/mnasnet_b1_Opset18_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..54373e886
--- /dev/null
+++ b/Computer_Vision/mnasnet_b1_Opset18_timm/turnkey_stats.yaml
@@ -0,0 +1,199 @@
+author: timm
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+hash: d1d8126f
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+  - 3
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+  - 224
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+  Conv: 52
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diff --git a/Computer_Vision/mnasnet_small_Opset16_timm/mnasnet_small_Opset16.onnx b/Computer_Vision/mnasnet_small_Opset16_timm/mnasnet_small_Opset16.onnx
new file mode 100644
index 000000000..b36a54e18
--- /dev/null
+++ b/Computer_Vision/mnasnet_small_Opset16_timm/mnasnet_small_Opset16.onnx
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+size 8125026
diff --git a/Computer_Vision/mnasnet_small_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/mnasnet_small_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..2a57ff123
--- /dev/null
+++ b/Computer_Vision/mnasnet_small_Opset16_timm/turnkey_stats.yaml
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+author: timm
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/mnasnet_small.py
+class: EfficientNet
+hash: 802efe9c
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+  - 224
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+  Conv: 66
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+  GlobalAveragePool: 1
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+  Sigmoid: 10
+parameters: 2030264
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+  OEM System: Virtual Machine
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--- /dev/null
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index 000000000..c6fcd1a7e
--- /dev/null
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+author: timm
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diff --git a/Computer_Vision/mobilenet_v2_Opset16_torch_hub/mobilenet_v2_Opset16.onnx b/Computer_Vision/mobilenet_v2_Opset16_torch_hub/mobilenet_v2_Opset16.onnx
new file mode 100644
index 000000000..951536bca
--- /dev/null
+++ b/Computer_Vision/mobilenet_v2_Opset16_torch_hub/mobilenet_v2_Opset16.onnx
@@ -0,0 +1,3 @@
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diff --git a/Computer_Vision/mobilenet_v2_Opset16_torch_hub/turnkey_stats.yaml b/Computer_Vision/mobilenet_v2_Opset16_torch_hub/turnkey_stats.yaml
new file mode 100644
index 000000000..0823f4eef
--- /dev/null
+++ b/Computer_Vision/mobilenet_v2_Opset16_torch_hub/turnkey_stats.yaml
@@ -0,0 +1,200 @@
+author: torch_hub
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/torch_hub/mobilenet_v2.py
+class: MobileNetV2
+hash: a81033ae
+model_name: mobilenet_v2
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+  x:
+  - 1
+  - 3
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+  - 224
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+  ir_version: 8
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+  Add: 10
+  Clip: 35
+  Constant: 70
+  Conv: 52
+  Flatten: 1
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+  OEM System: Virtual Machine
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diff --git a/Computer_Vision/mobilenet_v2_Opset17_torch_hub/mobilenet_v2_Opset17.onnx b/Computer_Vision/mobilenet_v2_Opset17_torch_hub/mobilenet_v2_Opset17.onnx
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diff --git a/Computer_Vision/mobilenet_v2_Opset17_torch_hub/turnkey_stats.yaml b/Computer_Vision/mobilenet_v2_Opset17_torch_hub/turnkey_stats.yaml
new file mode 100644
index 000000000..13300fc1f
--- /dev/null
+++ b/Computer_Vision/mobilenet_v2_Opset17_torch_hub/turnkey_stats.yaml
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+author: torch_hub
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+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/torch_hub/mobilenet_v2.py
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+hash: a81033ae
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diff --git a/Computer_Vision/mobilenet_v2_Opset18_torch_hub/mobilenet_v2_Opset18.onnx b/Computer_Vision/mobilenet_v2_Opset18_torch_hub/mobilenet_v2_Opset18.onnx
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index 000000000..a389871ef
--- /dev/null
+++ b/Computer_Vision/mobilenet_v2_Opset18_torch_hub/mobilenet_v2_Opset18.onnx
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diff --git a/Computer_Vision/mobilenet_v2_Opset18_torch_hub/turnkey_stats.yaml b/Computer_Vision/mobilenet_v2_Opset18_torch_hub/turnkey_stats.yaml
new file mode 100644
index 000000000..d7551d3da
--- /dev/null
+++ b/Computer_Vision/mobilenet_v2_Opset18_torch_hub/turnkey_stats.yaml
@@ -0,0 +1,200 @@
+author: torch_hub
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+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/torch_hub/mobilenet_v2.py
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+  - xxhash==3.4.1
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+task: Computer_Vision
diff --git a/Computer_Vision/mobilenet_v3_large_Opset16_torch_hub/mobilenet_v3_large_Opset16.onnx b/Computer_Vision/mobilenet_v3_large_Opset16_torch_hub/mobilenet_v3_large_Opset16.onnx
new file mode 100644
index 000000000..d1fd97937
--- /dev/null
+++ b/Computer_Vision/mobilenet_v3_large_Opset16_torch_hub/mobilenet_v3_large_Opset16.onnx
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:50d7fdb01f8cdd11475d5a687659e482b03a4823a5d7e16a4017d8a3780fe1ff
+size 21922120
diff --git a/Computer_Vision/mobilenet_v3_large_Opset16_torch_hub/turnkey_stats.yaml b/Computer_Vision/mobilenet_v3_large_Opset16_torch_hub/turnkey_stats.yaml
new file mode 100644
index 000000000..a02393c5b
--- /dev/null
+++ b/Computer_Vision/mobilenet_v3_large_Opset16_torch_hub/turnkey_stats.yaml
@@ -0,0 +1,202 @@
+author: torch_hub
+builds:
+  x86_ort:
+    all_build_stages:
+    - export_pytorch
+    - set_success
+    benchmark_status: successful
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+      export_pytorch: 0.9601280689239502
+      set_success: 0.018153905868530273
+    device_type: x86
+    iterations: 100
+    onnx_file: /home/azureuser/.cache/turnkey/mobilenet_v3_large_torch_hub_63093d2e/onnx/mobilenet_v3_large_torch_hub_63093d2e-op16-base.onnx
+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/torch_hub/mobilenet_v3_large.py
+class: MobileNetV3
+hash: 00777649
+model_name: mobilenet_v3_large
+onnx_input_dimensions:
+  x:
+  - 1
+  - 3
+  - 224
+  - 224
+onnx_model_information:
+  ir_version: 8
+  opset: 16
+  size on disk (KiB): 21408.3525
+onnx_ops_counter:
+  Add: 10
+  Conv: 62
+  Flatten: 1
+  Gemm: 2
+  GlobalAveragePool: 9
+  HardSigmoid: 8
+  HardSwish: 21
+  Mul: 8
+  Relu: 19
+parameters: 5483032
+system_info:
+  Memory Info: 62.79 GB
+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
+  Processor: Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
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+task: Computer_Vision
diff --git a/Computer_Vision/mobilenet_v3_large_Opset17_torch_hub/mobilenet_v3_large_Opset17.onnx b/Computer_Vision/mobilenet_v3_large_Opset17_torch_hub/mobilenet_v3_large_Opset17.onnx
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--- /dev/null
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diff --git a/Computer_Vision/mobilenet_v3_large_Opset17_torch_hub/turnkey_stats.yaml b/Computer_Vision/mobilenet_v3_large_Opset17_torch_hub/turnkey_stats.yaml
new file mode 100644
index 000000000..40e9b57d2
--- /dev/null
+++ b/Computer_Vision/mobilenet_v3_large_Opset17_torch_hub/turnkey_stats.yaml
@@ -0,0 +1,202 @@
+author: torch_hub
+builds:
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+    all_build_stages:
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+    - set_success
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+      set_success: 0.015505075454711914
+    device_type: x86
+    iterations: 100
+    onnx_file: /home/azureuser/.cache/turnkey/mobilenet_v3_large_torch_hub_63093d2e/onnx/mobilenet_v3_large_torch_hub_63093d2e-op17-base.onnx
+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/torch_hub/mobilenet_v3_large.py
+class: MobileNetV3
+hash: 00777649
+model_name: mobilenet_v3_large
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+  x:
+  - 1
+  - 3
+  - 224
+  - 224
+onnx_model_information:
+  ir_version: 8
+  opset: 17
+  size on disk (KiB): 21408.3525
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+  Add: 10
+  Conv: 62
+  Flatten: 1
+  Gemm: 2
+  GlobalAveragePool: 9
+  HardSigmoid: 8
+  HardSwish: 21
+  Mul: 8
+  Relu: 19
+parameters: 5483032
+system_info:
+  Memory Info: 62.79 GB
+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
+  Processor: Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
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diff --git a/Computer_Vision/mobilenet_v3_large_Opset18_torch_hub/mobilenet_v3_large_Opset18.onnx b/Computer_Vision/mobilenet_v3_large_Opset18_torch_hub/mobilenet_v3_large_Opset18.onnx
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--- /dev/null
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diff --git a/Computer_Vision/mobilenet_v3_large_Opset18_torch_hub/turnkey_stats.yaml b/Computer_Vision/mobilenet_v3_large_Opset18_torch_hub/turnkey_stats.yaml
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index 000000000..7a1e42298
--- /dev/null
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diff --git a/Computer_Vision/mobilenet_v3_small_Opset16_torch_hub/mobilenet_v3_small_Opset16.onnx b/Computer_Vision/mobilenet_v3_small_Opset16_torch_hub/mobilenet_v3_small_Opset16.onnx
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diff --git a/Computer_Vision/mobilenet_v3_small_Opset16_torch_hub/turnkey_stats.yaml b/Computer_Vision/mobilenet_v3_small_Opset16_torch_hub/turnkey_stats.yaml
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index 000000000..027d9d803
--- /dev/null
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diff --git a/Computer_Vision/mobilenet_v3_small_Opset17_torch_hub/mobilenet_v3_small_Opset17.onnx b/Computer_Vision/mobilenet_v3_small_Opset17_torch_hub/mobilenet_v3_small_Opset17.onnx
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diff --git a/Computer_Vision/mobilenet_v3_small_Opset17_torch_hub/turnkey_stats.yaml b/Computer_Vision/mobilenet_v3_small_Opset17_torch_hub/turnkey_stats.yaml
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index 000000000..55d4e332d
--- /dev/null
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diff --git a/Computer_Vision/mobilenet_v3_small_Opset18_torch_hub/mobilenet_v3_small_Opset18.onnx b/Computer_Vision/mobilenet_v3_small_Opset18_torch_hub/mobilenet_v3_small_Opset18.onnx
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--- /dev/null
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diff --git a/Computer_Vision/mobilenet_v3_small_Opset18_torch_hub/turnkey_stats.yaml b/Computer_Vision/mobilenet_v3_small_Opset18_torch_hub/turnkey_stats.yaml
new file mode 100644
index 000000000..3fa5e4396
--- /dev/null
+++ b/Computer_Vision/mobilenet_v3_small_Opset18_torch_hub/turnkey_stats.yaml
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+    runtime: ort
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diff --git a/Computer_Vision/mobilenetv2_050_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/mobilenetv2_050_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..257a26cc8
--- /dev/null
+++ b/Computer_Vision/mobilenetv2_050_Opset16_timm/turnkey_stats.yaml
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+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/mobilenetv2_050.py
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+  OEM System: Virtual Machine
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diff --git a/Computer_Vision/mobilenetv2_050_Opset17_timm/mobilenetv2_050_Opset17.onnx b/Computer_Vision/mobilenetv2_050_Opset17_timm/mobilenetv2_050_Opset17.onnx
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diff --git a/Computer_Vision/mobilenetv2_050_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/mobilenetv2_050_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..1d23ae09c
--- /dev/null
+++ b/Computer_Vision/mobilenetv2_050_Opset17_timm/turnkey_stats.yaml
@@ -0,0 +1,200 @@
+author: timm
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+  - 3
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+  - 224
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+  Clip: 35
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diff --git a/Computer_Vision/mobilenetv2_050_Opset18_timm/mobilenetv2_050_Opset18.onnx b/Computer_Vision/mobilenetv2_050_Opset18_timm/mobilenetv2_050_Opset18.onnx
new file mode 100644
index 000000000..220213729
--- /dev/null
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diff --git a/Computer_Vision/mobilenetv2_050_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/mobilenetv2_050_Opset18_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..a79fb41ec
--- /dev/null
+++ b/Computer_Vision/mobilenetv2_050_Opset18_timm/turnkey_stats.yaml
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+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/mobilenetv2_050.py
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+hash: 66d234d9
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+  Constant: 70
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new file mode 100644
index 000000000..80e094a50
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diff --git a/Computer_Vision/mobilenetv2_100_Opset17_timm/mobilenetv2_100_Opset17.onnx b/Computer_Vision/mobilenetv2_100_Opset17_timm/mobilenetv2_100_Opset17.onnx
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index 000000000..cd722d44e
--- /dev/null
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diff --git a/Computer_Vision/mobilenetv2_100_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/mobilenetv2_100_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..5eb2bb930
--- /dev/null
+++ b/Computer_Vision/mobilenetv2_100_Opset17_timm/turnkey_stats.yaml
@@ -0,0 +1,200 @@
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/mobilenetv2_100.py
+class: EfficientNet
+hash: c7096d5f
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+  - 1
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+  - 224
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+  Clip: 35
+  Constant: 70
+  Conv: 52
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diff --git a/Computer_Vision/mobilenetv2_100_Opset18_timm/mobilenetv2_100_Opset18.onnx b/Computer_Vision/mobilenetv2_100_Opset18_timm/mobilenetv2_100_Opset18.onnx
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diff --git a/Computer_Vision/mobilenetv2_100_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/mobilenetv2_100_Opset18_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..cbec51c8f
--- /dev/null
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@@ -0,0 +1,200 @@
+author: timm
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/mobilenetv2_100.py
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+hash: c7096d5f
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diff --git a/Computer_Vision/mobilenetv2_110d_Opset16_timm/mobilenetv2_110d_Opset16.onnx b/Computer_Vision/mobilenetv2_110d_Opset16_timm/mobilenetv2_110d_Opset16.onnx
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--- /dev/null
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diff --git a/Computer_Vision/mobilenetv2_110d_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/mobilenetv2_110d_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..0a115f48b
--- /dev/null
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+author: timm
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/mobilenetv2_110d.py
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+  - xxhash==3.4.1
+  - yacs==0.1.8
+  - yarl==1.9.2
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+task: Computer_Vision
diff --git a/Computer_Vision/mobilenetv2_110d_Opset17_timm/mobilenetv2_110d_Opset17.onnx b/Computer_Vision/mobilenetv2_110d_Opset17_timm/mobilenetv2_110d_Opset17.onnx
new file mode 100644
index 000000000..264f42389
--- /dev/null
+++ b/Computer_Vision/mobilenetv2_110d_Opset17_timm/mobilenetv2_110d_Opset17.onnx
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:11f855c3bf882b9eb2941145a8d1a9795de46853733938a112113b3131cbc7dd
+size 18020784
diff --git a/Computer_Vision/mobilenetv2_110d_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/mobilenetv2_110d_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..748810576
--- /dev/null
+++ b/Computer_Vision/mobilenetv2_110d_Opset17_timm/turnkey_stats.yaml
@@ -0,0 +1,200 @@
+author: timm
+builds:
+  x86_ort:
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+    - export_pytorch
+    - set_success
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+      set_success: 0.016176462173461914
+    device_type: x86
+    iterations: 100
+    onnx_file: /home/azureuser/.cache/turnkey/mobilenetv2_110d_timm_3d104aee/onnx/mobilenetv2_110d_timm_3d104aee-op17-base.onnx
+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/mobilenetv2_110d.py
+class: EfficientNet
+hash: 483f3967
+model_name: mobilenetv2_110d
+onnx_input_dimensions:
+  x:
+  - 1
+  - 3
+  - 224
+  - 224
+onnx_model_information:
+  ir_version: 8
+  opset: 17
+  size on disk (KiB): 17598.4541
+onnx_ops_counter:
+  Add: 15
+  Clip: 45
+  Constant: 90
+  Conv: 67
+  Flatten: 1
+  Gemm: 1
+  GlobalAveragePool: 1
+parameters: 4516520
+system_info:
+  Memory Info: 62.79 GB
+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
+  Processor: Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
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+task: Computer_Vision
diff --git a/Computer_Vision/mobilenetv2_110d_Opset18_timm/mobilenetv2_110d_Opset18.onnx b/Computer_Vision/mobilenetv2_110d_Opset18_timm/mobilenetv2_110d_Opset18.onnx
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--- /dev/null
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diff --git a/Computer_Vision/mobilenetv2_110d_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/mobilenetv2_110d_Opset18_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..65ddf113a
--- /dev/null
+++ b/Computer_Vision/mobilenetv2_110d_Opset18_timm/turnkey_stats.yaml
@@ -0,0 +1,200 @@
+author: timm
+builds:
+  x86_ort:
+    all_build_stages:
+    - export_pytorch
+    - set_success
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+    completed_build_stages:
+      export_pytorch: 1.2132625579833984
+      set_success: 0.018103599548339844
+    device_type: x86
+    iterations: 100
+    onnx_file: /home/azureuser/.cache/turnkey/mobilenetv2_110d_timm_3d104aee/onnx/mobilenetv2_110d_timm_3d104aee-op18-base.onnx
+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/mobilenetv2_110d.py
+class: EfficientNet
+hash: 483f3967
+model_name: mobilenetv2_110d
+onnx_input_dimensions:
+  x:
+  - 1
+  - 3
+  - 224
+  - 224
+onnx_model_information:
+  ir_version: 8
+  opset: 18
+  size on disk (KiB): 17598.4541
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+  Add: 15
+  Clip: 45
+  Constant: 90
+  Conv: 67
+  Flatten: 1
+  Gemm: 1
+  GlobalAveragePool: 1
+parameters: 4516520
+system_info:
+  Memory Info: 62.79 GB
+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
+  Processor: Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
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+  - zipp==3.17.0
+task: Computer_Vision
diff --git a/Computer_Vision/mobilenetv2_120d_Opset16_timm/mobilenetv2_120d_Opset16.onnx b/Computer_Vision/mobilenetv2_120d_Opset16_timm/mobilenetv2_120d_Opset16.onnx
new file mode 100644
index 000000000..fdfe7108d
--- /dev/null
+++ b/Computer_Vision/mobilenetv2_120d_Opset16_timm/mobilenetv2_120d_Opset16.onnx
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
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diff --git a/Computer_Vision/mobilenetv2_120d_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/mobilenetv2_120d_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..7e19689df
--- /dev/null
+++ b/Computer_Vision/mobilenetv2_120d_Opset16_timm/turnkey_stats.yaml
@@ -0,0 +1,200 @@
+author: timm
+builds:
+  x86_ort:
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+      set_success: 0.015649080276489258
+    device_type: x86
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/mobilenetv2_120d.py
+class: EfficientNet
+hash: 4b0ed84b
+model_name: mobilenetv2_120d
+onnx_input_dimensions:
+  x:
+  - 1
+  - 3
+  - 224
+  - 224
+onnx_model_information:
+  ir_version: 8
+  opset: 16
+  size on disk (KiB): 22710.8828
+onnx_ops_counter:
+  Add: 19
+  Clip: 53
+  Constant: 106
+  Conv: 79
+  Flatten: 1
+  Gemm: 1
+  GlobalAveragePool: 1
+parameters: 5831144
+system_info:
+  Memory Info: 62.79 GB
+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
+  Processor: Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
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+  - jinja2==3.1.2
+  - markdown==3.5.1
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+  - zipp==3.17.0
+task: Computer_Vision
diff --git a/Computer_Vision/mobilenetv2_120d_Opset17_timm/mobilenetv2_120d_Opset17.onnx b/Computer_Vision/mobilenetv2_120d_Opset17_timm/mobilenetv2_120d_Opset17.onnx
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index 000000000..a15e7a979
--- /dev/null
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diff --git a/Computer_Vision/mobilenetv2_120d_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/mobilenetv2_120d_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..bf9b9ceb7
--- /dev/null
+++ b/Computer_Vision/mobilenetv2_120d_Opset17_timm/turnkey_stats.yaml
@@ -0,0 +1,200 @@
+author: timm
+builds:
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+      set_success: 0.017613649368286133
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+    onnx_file: /home/azureuser/.cache/turnkey/mobilenetv2_120d_timm_9f1e1dac/onnx/mobilenetv2_120d_timm_9f1e1dac-op17-base.onnx
+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/mobilenetv2_120d.py
+class: EfficientNet
+hash: 4b0ed84b
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+  x:
+  - 1
+  - 3
+  - 224
+  - 224
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+  ir_version: 8
+  opset: 17
+  size on disk (KiB): 22710.8828
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+  Add: 19
+  Clip: 53
+  Constant: 106
+  Conv: 79
+  Flatten: 1
+  Gemm: 1
+  GlobalAveragePool: 1
+parameters: 5831144
+system_info:
+  Memory Info: 62.79 GB
+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
+  Processor: Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
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diff --git a/Computer_Vision/mobilenetv2_120d_Opset18_timm/mobilenetv2_120d_Opset18.onnx b/Computer_Vision/mobilenetv2_120d_Opset18_timm/mobilenetv2_120d_Opset18.onnx
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index 000000000..41ae38ae2
--- /dev/null
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diff --git a/Computer_Vision/mobilenetv2_120d_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/mobilenetv2_120d_Opset18_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..eb87c8406
--- /dev/null
+++ b/Computer_Vision/mobilenetv2_120d_Opset18_timm/turnkey_stats.yaml
@@ -0,0 +1,200 @@
+author: timm
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+      set_success: 0.016243696212768555
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+    onnx_file: /home/azureuser/.cache/turnkey/mobilenetv2_120d_timm_9f1e1dac/onnx/mobilenetv2_120d_timm_9f1e1dac-op18-base.onnx
+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/mobilenetv2_120d.py
+class: EfficientNet
+hash: 4b0ed84b
+model_name: mobilenetv2_120d
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+  x:
+  - 1
+  - 3
+  - 224
+  - 224
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+  ir_version: 8
+  opset: 18
+  size on disk (KiB): 22710.8828
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+  Clip: 53
+  Constant: 106
+  Conv: 79
+  Flatten: 1
+  Gemm: 1
+  GlobalAveragePool: 1
+parameters: 5831144
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+  Memory Info: 62.79 GB
+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
+  Processor: Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
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+  - timm==0.9.8
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+  - typeguard==4.1.5
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+  - xxhash==3.4.1
+  - yacs==0.1.8
+  - yarl==1.9.2
+  - zipp==3.17.0
+task: Computer_Vision
diff --git a/Computer_Vision/mobilenetv2_140_Opset16_timm/mobilenetv2_140_Opset16.onnx b/Computer_Vision/mobilenetv2_140_Opset16_timm/mobilenetv2_140_Opset16.onnx
new file mode 100644
index 000000000..748bb1e02
--- /dev/null
+++ b/Computer_Vision/mobilenetv2_140_Opset16_timm/mobilenetv2_140_Opset16.onnx
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
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diff --git a/Computer_Vision/mobilenetv2_140_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/mobilenetv2_140_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..f34d00610
--- /dev/null
+++ b/Computer_Vision/mobilenetv2_140_Opset16_timm/turnkey_stats.yaml
@@ -0,0 +1,200 @@
+author: timm
+builds:
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+      set_success: 0.01645660400390625
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/mobilenetv2_140.py
+class: EfficientNet
+hash: 6760dda5
+model_name: mobilenetv2_140
+onnx_input_dimensions:
+  x:
+  - 1
+  - 3
+  - 224
+  - 224
+onnx_model_information:
+  ir_version: 8
+  opset: 16
+  size on disk (KiB): 23806.2676
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+  Add: 10
+  Clip: 35
+  Constant: 70
+  Conv: 52
+  Flatten: 1
+  Gemm: 1
+  GlobalAveragePool: 1
+parameters: 6108776
+system_info:
+  Memory Info: 62.79 GB
+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
+  Processor: Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
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+task: Computer_Vision
diff --git a/Computer_Vision/mobilenetv2_140_Opset17_timm/mobilenetv2_140_Opset17.onnx b/Computer_Vision/mobilenetv2_140_Opset17_timm/mobilenetv2_140_Opset17.onnx
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index 000000000..1706b55f8
--- /dev/null
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diff --git a/Computer_Vision/mobilenetv2_140_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/mobilenetv2_140_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..bce117a67
--- /dev/null
+++ b/Computer_Vision/mobilenetv2_140_Opset17_timm/turnkey_stats.yaml
@@ -0,0 +1,200 @@
+author: timm
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+      set_success: 0.022360563278198242
+    device_type: x86
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+    onnx_file: /home/azureuser/.cache/turnkey/mobilenetv2_140_timm_a8bbbb1c/onnx/mobilenetv2_140_timm_a8bbbb1c-op17-base.onnx
+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/mobilenetv2_140.py
+class: EfficientNet
+hash: 6760dda5
+model_name: mobilenetv2_140
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+  x:
+  - 1
+  - 3
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+  - 224
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+  Add: 10
+  Clip: 35
+  Constant: 70
+  Conv: 52
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+  Gemm: 1
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+parameters: 6108776
+system_info:
+  Memory Info: 62.79 GB
+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
+  Processor: Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
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diff --git a/Computer_Vision/mobilenetv2_140_Opset18_timm/mobilenetv2_140_Opset18.onnx b/Computer_Vision/mobilenetv2_140_Opset18_timm/mobilenetv2_140_Opset18.onnx
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index 000000000..b7a4b65c0
--- /dev/null
+++ b/Computer_Vision/mobilenetv2_140_Opset18_timm/mobilenetv2_140_Opset18.onnx
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+version https://git-lfs.github.com/spec/v1
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diff --git a/Computer_Vision/mobilenetv2_140_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/mobilenetv2_140_Opset18_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..d96cff2c2
--- /dev/null
+++ b/Computer_Vision/mobilenetv2_140_Opset18_timm/turnkey_stats.yaml
@@ -0,0 +1,200 @@
+author: timm
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+    - set_success
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+      set_success: 0.016424179077148438
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/mobilenetv2_140.py
+class: EfficientNet
+hash: 6760dda5
+model_name: mobilenetv2_140
+onnx_input_dimensions:
+  x:
+  - 1
+  - 3
+  - 224
+  - 224
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+  opset: 18
+  size on disk (KiB): 23806.2676
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+  Add: 10
+  Clip: 35
+  Constant: 70
+  Conv: 52
+  Flatten: 1
+  Gemm: 1
+  GlobalAveragePool: 1
+parameters: 6108776
+system_info:
+  Memory Info: 62.79 GB
+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
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+  - typeguard==4.1.5
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+  - xxhash==3.4.1
+  - yacs==0.1.8
+  - yarl==1.9.2
+  - zipp==3.17.0
+task: Computer_Vision
diff --git a/Computer_Vision/mobilenetv3_large_100_Opset16_timm/mobilenetv3_large_100_Opset16.onnx b/Computer_Vision/mobilenetv3_large_100_Opset16_timm/mobilenetv3_large_100_Opset16.onnx
new file mode 100644
index 000000000..1467e4830
--- /dev/null
+++ b/Computer_Vision/mobilenetv3_large_100_Opset16_timm/mobilenetv3_large_100_Opset16.onnx
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:403035d363ecff81c8d7b01bc2964bd9bac319f8a04d8da88c328a1a0dbeaa41
+size 21919274
diff --git a/Computer_Vision/mobilenetv3_large_100_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/mobilenetv3_large_100_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..27ff33f5f
--- /dev/null
+++ b/Computer_Vision/mobilenetv3_large_100_Opset16_timm/turnkey_stats.yaml
@@ -0,0 +1,203 @@
+author: timm
+builds:
+  x86_ort:
+    all_build_stages:
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+    - set_success
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+      set_success: 0.019603967666625977
+    device_type: x86
+    iterations: 100
+    onnx_file: /home/azureuser/.cache/turnkey/mobilenetv3_large_100_timm_8bf3f636/onnx/mobilenetv3_large_100_timm_8bf3f636-op16-base.onnx
+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/mobilenetv3_large_100.py
+class: MobileNetV3
+hash: ffa3e1dd
+model_name: mobilenetv3_large_100
+onnx_input_dimensions:
+  x:
+  - 1
+  - 3
+  - 224
+  - 224
+onnx_model_information:
+  ir_version: 8
+  opset: 16
+  size on disk (KiB): 21405.5732
+onnx_ops_counter:
+  Add: 10
+  Conv: 63
+  Flatten: 1
+  Gemm: 1
+  GlobalAveragePool: 1
+  HardSigmoid: 8
+  HardSwish: 21
+  Mul: 8
+  ReduceMean: 8
+  Relu: 19
+parameters: 5483032
+system_info:
+  Memory Info: 62.79 GB
+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
+  Processor: Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
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+  - jinja2==3.1.2
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+  - markupsafe==2.1.3
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+  - xxhash==3.4.1
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+  - zipp==3.17.0
+task: Computer_Vision
diff --git a/Computer_Vision/mobilenetv3_large_100_Opset17_timm/mobilenetv3_large_100_Opset17.onnx b/Computer_Vision/mobilenetv3_large_100_Opset17_timm/mobilenetv3_large_100_Opset17.onnx
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--- /dev/null
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diff --git a/Computer_Vision/mobilenetv3_large_100_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/mobilenetv3_large_100_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..76f392696
--- /dev/null
+++ b/Computer_Vision/mobilenetv3_large_100_Opset17_timm/turnkey_stats.yaml
@@ -0,0 +1,203 @@
+author: timm
+builds:
+  x86_ort:
+    all_build_stages:
+    - export_pytorch
+    - set_success
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+    completed_build_stages:
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+      set_success: 0.014742851257324219
+    device_type: x86
+    iterations: 100
+    onnx_file: /home/azureuser/.cache/turnkey/mobilenetv3_large_100_timm_8bf3f636/onnx/mobilenetv3_large_100_timm_8bf3f636-op17-base.onnx
+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/mobilenetv3_large_100.py
+class: MobileNetV3
+hash: ffa3e1dd
+model_name: mobilenetv3_large_100
+onnx_input_dimensions:
+  x:
+  - 1
+  - 3
+  - 224
+  - 224
+onnx_model_information:
+  ir_version: 8
+  opset: 17
+  size on disk (KiB): 21405.5732
+onnx_ops_counter:
+  Add: 10
+  Conv: 63
+  Flatten: 1
+  Gemm: 1
+  GlobalAveragePool: 1
+  HardSigmoid: 8
+  HardSwish: 21
+  Mul: 8
+  ReduceMean: 8
+  Relu: 19
+parameters: 5483032
+system_info:
+  Memory Info: 62.79 GB
+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
+  Processor: Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
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+  - jinja2==3.1.2
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diff --git a/Computer_Vision/mobilenetv3_large_100_miil_Opset16_timm/mobilenetv3_large_100_miil_Opset16.onnx b/Computer_Vision/mobilenetv3_large_100_miil_Opset16_timm/mobilenetv3_large_100_miil_Opset16.onnx
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diff --git a/Computer_Vision/mobilenetv3_large_100_miil_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/mobilenetv3_large_100_miil_Opset16_timm/turnkey_stats.yaml
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index 000000000..c71a64ec2
--- /dev/null
+++ b/Computer_Vision/mobilenetv3_large_100_miil_Opset16_timm/turnkey_stats.yaml
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+author: timm
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/mobilenetv3_large_100_miil.py
+class: MobileNetV3
+hash: ffa3e1dd
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+  - 3
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+  - 224
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+  Gemm: 1
+  GlobalAveragePool: 1
+  HardSigmoid: 8
+  HardSwish: 21
+  Mul: 8
+  ReduceMean: 8
+  Relu: 19
+parameters: 5483032
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+  OEM System: Virtual Machine
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diff --git a/Computer_Vision/mobilenetv3_large_100_miil_Opset17_timm/mobilenetv3_large_100_miil_Opset17.onnx b/Computer_Vision/mobilenetv3_large_100_miil_Opset17_timm/mobilenetv3_large_100_miil_Opset17.onnx
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diff --git a/Computer_Vision/mobilenetv3_large_100_miil_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/mobilenetv3_large_100_miil_Opset17_timm/turnkey_stats.yaml
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--- /dev/null
+++ b/Computer_Vision/mobilenetv3_large_100_miil_Opset17_timm/turnkey_stats.yaml
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+author: timm
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+    runtime: ort
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+class: MobileNetV3
+hash: ffa3e1dd
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+  - 224
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+  Gemm: 1
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+  HardSigmoid: 8
+  HardSwish: 21
+  Mul: 8
+  ReduceMean: 8
+  Relu: 19
+parameters: 5483032
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+  OEM System: Virtual Machine
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diff --git a/Computer_Vision/mobilenetv3_large_100_miil_in21k_Opset16_timm/mobilenetv3_large_100_miil_in21k_Opset16.onnx b/Computer_Vision/mobilenetv3_large_100_miil_in21k_Opset16_timm/mobilenetv3_large_100_miil_in21k_Opset16.onnx
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diff --git a/Computer_Vision/mobilenetv3_large_100_miil_in21k_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/mobilenetv3_large_100_miil_in21k_Opset16_timm/turnkey_stats.yaml
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index 000000000..534c6b23f
--- /dev/null
+++ b/Computer_Vision/mobilenetv3_large_100_miil_in21k_Opset16_timm/turnkey_stats.yaml
@@ -0,0 +1,203 @@
+author: timm
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+    runtime: ort
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+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
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diff --git a/Computer_Vision/mobilenetv3_large_100_miil_in21k_Opset17_timm/mobilenetv3_large_100_miil_in21k_Opset17.onnx b/Computer_Vision/mobilenetv3_large_100_miil_in21k_Opset17_timm/mobilenetv3_large_100_miil_in21k_Opset17.onnx
new file mode 100644
index 000000000..853758f05
--- /dev/null
+++ b/Computer_Vision/mobilenetv3_large_100_miil_in21k_Opset17_timm/mobilenetv3_large_100_miil_in21k_Opset17.onnx
@@ -0,0 +1,3 @@
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diff --git a/Computer_Vision/mobilenetv3_large_100_miil_in21k_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/mobilenetv3_large_100_miil_in21k_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..1dc85783f
--- /dev/null
+++ b/Computer_Vision/mobilenetv3_large_100_miil_in21k_Opset17_timm/turnkey_stats.yaml
@@ -0,0 +1,203 @@
+author: timm
+builds:
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+    device_type: x86
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/mobilenetv3_large_100_miil_in21k.py
+class: MobileNetV3
+hash: ec2100fb
+model_name: mobilenetv3_large_100_miil_in21k
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+  x:
+  - 1
+  - 3
+  - 224
+  - 224
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+  Add: 10
+  Conv: 63
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+  Gemm: 1
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+  HardSigmoid: 8
+  HardSwish: 21
+  Mul: 8
+  ReduceMean: 8
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+parameters: 18576133
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diff --git a/Computer_Vision/mobilenetv3_rw_Opset16_timm/mobilenetv3_rw_Opset16.onnx b/Computer_Vision/mobilenetv3_rw_Opset16_timm/mobilenetv3_rw_Opset16.onnx
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diff --git a/Computer_Vision/mobilenetv3_rw_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/mobilenetv3_rw_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..78aa388e0
--- /dev/null
+++ b/Computer_Vision/mobilenetv3_rw_Opset16_timm/turnkey_stats.yaml
@@ -0,0 +1,203 @@
+author: timm
+builds:
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+      set_success: 0.016196012496948242
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+    onnx_file: /home/azureuser/.cache/turnkey/mobilenetv3_rw_timm_4cb91acc/onnx/mobilenetv3_rw_timm_4cb91acc-op16-base.onnx
+    runtime: ort
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+hash: ac2e2a8d
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+  Conv: 63
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+  HardSigmoid: 8
+  HardSwish: 26
+  Mul: 8
+  ReduceMean: 8
+  Relu: 14
+parameters: 5479918
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+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
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diff --git a/Computer_Vision/mobilenetv3_rw_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/mobilenetv3_rw_Opset17_timm/turnkey_stats.yaml
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index 000000000..d9ce18588
--- /dev/null
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diff --git a/Computer_Vision/mobilenetv3_small_050_Opset16_timm/mobilenetv3_small_050_Opset16.onnx b/Computer_Vision/mobilenetv3_small_050_Opset16_timm/mobilenetv3_small_050_Opset16.onnx
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new file mode 100644
index 000000000..71ab72bd5
--- /dev/null
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diff --git a/Computer_Vision/mobilenetv3_small_050_Opset17_timm/mobilenetv3_small_050_Opset17.onnx b/Computer_Vision/mobilenetv3_small_050_Opset17_timm/mobilenetv3_small_050_Opset17.onnx
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diff --git a/Computer_Vision/mobilenetv3_small_050_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/mobilenetv3_small_050_Opset17_timm/turnkey_stats.yaml
new file mode 100644
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--- /dev/null
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+  - xxhash==3.4.1
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+task: Computer_Vision
diff --git a/Computer_Vision/mobilenetv3_small_075_Opset16_timm/mobilenetv3_small_075_Opset16.onnx b/Computer_Vision/mobilenetv3_small_075_Opset16_timm/mobilenetv3_small_075_Opset16.onnx
new file mode 100644
index 000000000..e0bcf5896
--- /dev/null
+++ b/Computer_Vision/mobilenetv3_small_075_Opset16_timm/mobilenetv3_small_075_Opset16.onnx
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diff --git a/Computer_Vision/mobilenetv3_small_075_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/mobilenetv3_small_075_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..9262946d4
--- /dev/null
+++ b/Computer_Vision/mobilenetv3_small_075_Opset16_timm/turnkey_stats.yaml
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+author: timm
+builds:
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/mobilenetv3_small_075.py
+class: MobileNetV3
+hash: '35390010'
+model_name: mobilenetv3_small_075
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+  x:
+  - 1
+  - 3
+  - 224
+  - 224
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+  opset: 16
+  size on disk (KiB): 7987.9365
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+  Add: 6
+  Conv: 53
+  Flatten: 1
+  Gemm: 1
+  GlobalAveragePool: 1
+  HardSigmoid: 9
+  HardSwish: 19
+  Mul: 9
+  ReduceMean: 9
+  Relu: 14
+parameters: 2041872
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+  OEM System: Virtual Machine
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diff --git a/Computer_Vision/mobilenetv3_small_075_Opset17_timm/mobilenetv3_small_075_Opset17.onnx b/Computer_Vision/mobilenetv3_small_075_Opset17_timm/mobilenetv3_small_075_Opset17.onnx
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diff --git a/Computer_Vision/mobilenetv3_small_075_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/mobilenetv3_small_075_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..2e5e97266
--- /dev/null
+++ b/Computer_Vision/mobilenetv3_small_075_Opset17_timm/turnkey_stats.yaml
@@ -0,0 +1,203 @@
+author: timm
+builds:
+  x86_ort:
+    all_build_stages:
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+    - set_success
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/mobilenetv3_small_075.py
+class: MobileNetV3
+hash: '35390010'
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+  x:
+  - 1
+  - 3
+  - 224
+  - 224
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+  Conv: 53
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+  Gemm: 1
+  GlobalAveragePool: 1
+  HardSigmoid: 9
+  HardSwish: 19
+  Mul: 9
+  ReduceMean: 9
+  Relu: 14
+parameters: 2041872
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+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
+  Processor: Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
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diff --git a/Computer_Vision/mobilenetv3_small_100_Opset16_timm/mobilenetv3_small_100_Opset16.onnx b/Computer_Vision/mobilenetv3_small_100_Opset16_timm/mobilenetv3_small_100_Opset16.onnx
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diff --git a/Computer_Vision/mobilenetv3_small_100_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/mobilenetv3_small_100_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..2eb540a44
--- /dev/null
+++ b/Computer_Vision/mobilenetv3_small_100_Opset16_timm/turnkey_stats.yaml
@@ -0,0 +1,203 @@
+author: timm
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/mobilenetv3_small_100.py
+class: MobileNetV3
+hash: 4801516e
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+  x:
+  - 1
+  - 3
+  - 224
+  - 224
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+  opset: 16
+  size on disk (KiB): 9940.1807
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+  Add: 6
+  Conv: 53
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+  HardSigmoid: 9
+  HardSwish: 19
+  Mul: 9
+  ReduceMean: 9
+  Relu: 14
+parameters: 2542856
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+  OEM System: Virtual Machine
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diff --git a/Computer_Vision/mobilenetv3_small_100_Opset17_timm/mobilenetv3_small_100_Opset17.onnx b/Computer_Vision/mobilenetv3_small_100_Opset17_timm/mobilenetv3_small_100_Opset17.onnx
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diff --git a/Computer_Vision/mobilenetv3_small_100_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/mobilenetv3_small_100_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..d13121ba4
--- /dev/null
+++ b/Computer_Vision/mobilenetv3_small_100_Opset17_timm/turnkey_stats.yaml
@@ -0,0 +1,203 @@
+author: timm
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/mobilenetv3_small_100.py
+class: MobileNetV3
+hash: 4801516e
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new file mode 100644
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diff --git a/Computer_Vision/mobilevit_s_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/mobilevit_s_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..6e8590aa7
--- /dev/null
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+author: timm
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+    runtime: ort
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diff --git a/Computer_Vision/mobilevit_s_Opset17_timm/mobilevit_s_Opset17.onnx b/Computer_Vision/mobilevit_s_Opset17_timm/mobilevit_s_Opset17.onnx
new file mode 100644
index 000000000..9453fb86e
--- /dev/null
+++ b/Computer_Vision/mobilevit_s_Opset17_timm/mobilevit_s_Opset17.onnx
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+version https://git-lfs.github.com/spec/v1
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+size 22436513
diff --git a/Computer_Vision/mobilevit_s_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/mobilevit_s_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..7755e7b3b
--- /dev/null
+++ b/Computer_Vision/mobilevit_s_Opset17_timm/turnkey_stats.yaml
@@ -0,0 +1,214 @@
+author: timm
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+      set_success: 0.01726698875427246
+    device_type: x86
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+    onnx_file: /home/azureuser/.cache/turnkey/mobilevit_s_timm_d25f81ba/onnx/mobilevit_s_timm_d25f81ba-op17-base.onnx
+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/mobilevit_s.py
+class: ByobNet
+hash: ab86b370
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+  - 1
+  - 3
+  - 256
+  - 256
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+  size on disk (KiB): 21910.6895
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+  Sigmoid: 34
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+  Softmax: 9
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+  Squeeze: 27
+  Transpose: 39
+parameters: 5578632
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+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
+  Processor: Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
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diff --git a/Computer_Vision/mobilevit_s_Opset18_timm/mobilevit_s_Opset18.onnx b/Computer_Vision/mobilevit_s_Opset18_timm/mobilevit_s_Opset18.onnx
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index 000000000..1b394a7f0
--- /dev/null
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+version https://git-lfs.github.com/spec/v1
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diff --git a/Computer_Vision/mobilevit_s_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/mobilevit_s_Opset18_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..4994993d0
--- /dev/null
+++ b/Computer_Vision/mobilevit_s_Opset18_timm/turnkey_stats.yaml
@@ -0,0 +1,214 @@
+author: timm
+builds:
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+    iterations: 100
+    onnx_file: /home/azureuser/.cache/turnkey/mobilevit_s_timm_d25f81ba/onnx/mobilevit_s_timm_d25f81ba-op18-base.onnx
+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/mobilevit_s.py
+class: ByobNet
+hash: ab86b370
+model_name: mobilevit_s
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+  x:
+  - 1
+  - 3
+  - 256
+  - 256
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+  ir_version: 8
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+  size on disk (KiB): 21910.6895
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+  Add: 56
+  Cast: 9
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+  Slice: 9
+  Softmax: 9
+  Split: 9
+  Sqrt: 27
+  Squeeze: 27
+  Transpose: 39
+parameters: 5578632
+system_info:
+  Memory Info: 62.79 GB
+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
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diff --git a/Computer_Vision/mobilevit_xs_Opset16_timm/mobilevit_xs_Opset16.onnx b/Computer_Vision/mobilevit_xs_Opset16_timm/mobilevit_xs_Opset16.onnx
new file mode 100644
index 000000000..494c36490
--- /dev/null
+++ b/Computer_Vision/mobilevit_xs_Opset16_timm/mobilevit_xs_Opset16.onnx
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+version https://git-lfs.github.com/spec/v1
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diff --git a/Computer_Vision/mobilevit_xs_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/mobilevit_xs_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..d08e20b9a
--- /dev/null
+++ b/Computer_Vision/mobilevit_xs_Opset16_timm/turnkey_stats.yaml
@@ -0,0 +1,216 @@
+author: timm
+builds:
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+    - set_success
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+      set_success: 0.01674199104309082
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/mobilevit_xs.py
+class: ByobNet
+hash: fbf374df
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+  - 1
+  - 3
+  - 256
+  - 256
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+  ir_version: 8
+  opset: 16
+  size on disk (KiB): 9228.4834
+onnx_ops_counter:
+  Add: 98
+  Cast: 9
+  Concat: 3
+  Constant: 141
+  Conv: 35
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+  Flatten: 1
+  Gemm: 1
+  GlobalAveragePool: 1
+  MatMul: 54
+  Mul: 73
+  Pow: 21
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+  Softmax: 9
+  Split: 9
+  Sqrt: 48
+  Squeeze: 27
+  Sub: 21
+  Transpose: 39
+parameters: 2317848
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+  Memory Info: 62.79 GB
+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
+  Processor: Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
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diff --git a/Computer_Vision/mobilevit_xs_Opset17_timm/mobilevit_xs_Opset17.onnx b/Computer_Vision/mobilevit_xs_Opset17_timm/mobilevit_xs_Opset17.onnx
new file mode 100644
index 000000000..5ce6dbe9e
--- /dev/null
+++ b/Computer_Vision/mobilevit_xs_Opset17_timm/mobilevit_xs_Opset17.onnx
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:98759b3d3b072ebd38f40e0250bbfc22a4544b7e1ccb06463e8254a1fb4e7de7
+size 9400893
diff --git a/Computer_Vision/mobilevit_xs_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/mobilevit_xs_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..6a7c897db
--- /dev/null
+++ b/Computer_Vision/mobilevit_xs_Opset17_timm/turnkey_stats.yaml
@@ -0,0 +1,214 @@
+author: timm
+builds:
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+    - set_success
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+      set_success: 0.01769232749938965
+    device_type: x86
+    iterations: 100
+    onnx_file: /home/azureuser/.cache/turnkey/mobilevit_xs_timm_29f60b15/onnx/mobilevit_xs_timm_29f60b15-op17-base.onnx
+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/mobilevit_xs.py
+class: ByobNet
+hash: fbf374df
+model_name: mobilevit_xs
+onnx_input_dimensions:
+  x:
+  - 1
+  - 3
+  - 256
+  - 256
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+  ir_version: 8
+  opset: 17
+  size on disk (KiB): 9180.5918
+onnx_ops_counter:
+  Add: 56
+  Cast: 9
+  Concat: 3
+  Constant: 99
+  Conv: 35
+  Div: 9
+  Flatten: 1
+  Gemm: 1
+  GlobalAveragePool: 1
+  LayerNormalization: 21
+  MatMul: 54
+  Mul: 52
+  Reshape: 36
+  Shape: 9
+  Sigmoid: 34
+  Slice: 9
+  Softmax: 9
+  Split: 9
+  Sqrt: 27
+  Squeeze: 27
+  Transpose: 39
+parameters: 2317848
+system_info:
+  Memory Info: 62.79 GB
+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
+  Processor: Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
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+  - jinja2==3.1.2
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diff --git a/Computer_Vision/mobilevit_xs_Opset18_timm/mobilevit_xs_Opset18.onnx b/Computer_Vision/mobilevit_xs_Opset18_timm/mobilevit_xs_Opset18.onnx
new file mode 100644
index 000000000..d3d4d70ba
--- /dev/null
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+version https://git-lfs.github.com/spec/v1
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diff --git a/Computer_Vision/mobilevit_xs_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/mobilevit_xs_Opset18_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..1c187cf67
--- /dev/null
+++ b/Computer_Vision/mobilevit_xs_Opset18_timm/turnkey_stats.yaml
@@ -0,0 +1,214 @@
+author: timm
+builds:
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+    - set_success
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+      export_pytorch: 1.5631675720214844
+      set_success: 0.01704096794128418
+    device_type: x86
+    iterations: 100
+    onnx_file: /home/azureuser/.cache/turnkey/mobilevit_xs_timm_29f60b15/onnx/mobilevit_xs_timm_29f60b15-op18-base.onnx
+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/mobilevit_xs.py
+class: ByobNet
+hash: fbf374df
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+  - 256
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+  size on disk (KiB): 9180.5918
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+  Mul: 52
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+  Sigmoid: 34
+  Slice: 9
+  Softmax: 9
+  Split: 9
+  Sqrt: 27
+  Squeeze: 27
+  Transpose: 39
+parameters: 2317848
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+  Memory Info: 62.79 GB
+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
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diff --git a/Computer_Vision/mobilevit_xxs_Opset16_timm/mobilevit_xxs_Opset16.onnx b/Computer_Vision/mobilevit_xxs_Opset16_timm/mobilevit_xxs_Opset16.onnx
new file mode 100644
index 000000000..1dd6d963f
--- /dev/null
+++ b/Computer_Vision/mobilevit_xxs_Opset16_timm/mobilevit_xxs_Opset16.onnx
@@ -0,0 +1,3 @@
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+size 5275366
diff --git a/Computer_Vision/mobilevit_xxs_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/mobilevit_xxs_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..a16747fee
--- /dev/null
+++ b/Computer_Vision/mobilevit_xxs_Opset16_timm/turnkey_stats.yaml
@@ -0,0 +1,216 @@
+author: timm
+builds:
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/mobilevit_xxs.py
+class: ByobNet
+hash: 53c63d25
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+  - 1
+  - 3
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+  - 256
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+  Sub: 21
+  Transpose: 39
+parameters: 1272024
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+  Memory Info: 62.79 GB
+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
+  Processor: Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
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diff --git a/Computer_Vision/mobilevit_xxs_Opset17_timm/mobilevit_xxs_Opset17.onnx b/Computer_Vision/mobilevit_xxs_Opset17_timm/mobilevit_xxs_Opset17.onnx
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index 000000000..6f1c6a0db
--- /dev/null
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+version https://git-lfs.github.com/spec/v1
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diff --git a/Computer_Vision/mobilevit_xxs_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/mobilevit_xxs_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..32402ce96
--- /dev/null
+++ b/Computer_Vision/mobilevit_xxs_Opset17_timm/turnkey_stats.yaml
@@ -0,0 +1,214 @@
+author: timm
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/mobilevit_xxs.py
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+hash: 53c63d25
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+  - 256
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+  Slice: 9
+  Softmax: 9
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+  Squeeze: 27
+  Transpose: 39
+parameters: 1272024
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+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
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diff --git a/Computer_Vision/mobilevit_xxs_Opset18_timm/mobilevit_xxs_Opset18.onnx b/Computer_Vision/mobilevit_xxs_Opset18_timm/mobilevit_xxs_Opset18.onnx
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index 000000000..e04300819
--- /dev/null
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+version https://git-lfs.github.com/spec/v1
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diff --git a/Computer_Vision/mobilevit_xxs_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/mobilevit_xxs_Opset18_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..1008d8e0e
--- /dev/null
+++ b/Computer_Vision/mobilevit_xxs_Opset18_timm/turnkey_stats.yaml
@@ -0,0 +1,214 @@
+author: timm
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+  x86_ort:
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+      set_success: 0.017252206802368164
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+    iterations: 100
+    onnx_file: /home/azureuser/.cache/turnkey/mobilevit_xxs_timm_08dc221c/onnx/mobilevit_xxs_timm_08dc221c-op18-base.onnx
+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/mobilevit_xxs.py
+class: ByobNet
+hash: 53c63d25
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+  - 256
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+  Sigmoid: 34
+  Slice: 9
+  Softmax: 9
+  Split: 9
+  Sqrt: 27
+  Squeeze: 27
+  Transpose: 39
+parameters: 1272024
+system_info:
+  Memory Info: 62.79 GB
+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
+  Processor: Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
+  Python Packages:
+  - gitpython==3.1.40
+  - jinja2==3.1.2
+  - markdown==3.5.1
+  - markupsafe==2.1.3
+  - pillow==10.1.0
+  - pynacl==1.5.0
+  - pyyaml==6.0.1
+  - pygments==2.16.1
+  - absl-py==2.0.0
+  - aiohttp==3.8.6
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+  - altair==5.1.2
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+  - async-timeout==4.0.3
+  - attrs==23.1.0
+  - backports.zoneinfo==0.2.1
+  - bcrypt==4.0.1
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+  - multiprocess==0.70.15
+  - networkx==3.1
+  - nltk==3.8.1
+  - numpy==1.24.4
+  - nvidia-cublas-cu12==12.1.3.1
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+  - nvidia-cuda-nvrtc-cu12==12.1.105
+  - nvidia-cuda-runtime-cu12==12.1.105
+  - nvidia-cudnn-cu12==8.9.2.26
+  - nvidia-cufft-cu12==11.0.2.54
+  - nvidia-curand-cu12==10.3.2.106
+  - nvidia-cusolver-cu12==11.4.5.107
+  - nvidia-cusparse-cu12==12.1.0.106
+  - nvidia-nccl-cu12==2.18.1
+  - nvidia-nvjitlink-cu12==12.3.52
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+  - streamlit==1.28.1
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+  - tensorboard==2.14.0
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+  - termcolor==2.3.0
+  - threadpoolctl==3.2.0
+  - timm==0.9.8
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+  - torch-geometric==2.4.0
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+  - tornado==6.3.3
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+  - triton==2.1.0
+  - turnkeyml==0.2.0
+  - typeguard==4.1.5
+  - typing-extensions==4.8.0
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+  - xxhash==3.4.1
+  - yacs==0.1.8
+  - yarl==1.9.2
+  - zipp==3.17.0
+task: Computer_Vision
diff --git a/Computer_Vision/mobilevitv2_050_Opset16_timm/mobilevitv2_050_Opset16.onnx b/Computer_Vision/mobilevitv2_050_Opset16_timm/mobilevitv2_050_Opset16.onnx
new file mode 100644
index 000000000..b1b9c4ba0
--- /dev/null
+++ b/Computer_Vision/mobilevitv2_050_Opset16_timm/mobilevitv2_050_Opset16.onnx
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a501c6843f8f2800575a72760851c68599c75e3a87ebd451e2e75ed9f19e7384
+size 5589619
diff --git a/Computer_Vision/mobilevitv2_050_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/mobilevitv2_050_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..231468797
--- /dev/null
+++ b/Computer_Vision/mobilevitv2_050_Opset16_timm/turnkey_stats.yaml
@@ -0,0 +1,210 @@
+author: timm
+builds:
+  x86_ort:
+    all_build_stages:
+    - export_pytorch
+    - set_success
+    benchmark_status: successful
+    completed_build_stages:
+      export_pytorch: 1.3494923114776611
+      set_success: 0.016478538513183594
+    device_type: x86
+    iterations: 100
+    onnx_file: /home/azureuser/.cache/turnkey/mobilevitv2_050_timm_3b05d760/onnx/mobilevitv2_050_timm_3b05d760-op16-base.onnx
+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/mobilevitv2_050.py
+class: ByobNet
+hash: b24d08cf
+model_name: mobilevitv2_050
+onnx_input_dimensions:
+  x:
+  - 1
+  - 3
+  - 256
+  - 256
+onnx_model_information:
+  ir_version: 8
+  opset: 16
+  size on disk (KiB): 5458.6445
+onnx_ops_counter:
+  Add: 40
+  Constant: 79
+  Conv: 64
+  Expand: 9
+  Flatten: 1
+  Gemm: 1
+  GlobalAveragePool: 1
+  InstanceNormalization: 21
+  Mul: 64
+  ReduceSum: 9
+  Relu: 9
+  Reshape: 54
+  Shape: 30
+  Sigmoid: 25
+  Softmax: 9
+  Split: 9
+  Transpose: 6
+parameters: 1370593
+system_info:
+  Memory Info: 62.79 GB
+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
+  Processor: Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
+  Python Packages:
+  - gitpython==3.1.40
+  - jinja2==3.1.2
+  - markdown==3.5.1
+  - markupsafe==2.1.3
+  - pillow==10.1.0
+  - pynacl==1.5.0
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+  - nvidia-cublas-cu12==12.1.3.1
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+  - nvidia-cuda-nvrtc-cu12==12.1.105
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+  - torch-geometric==2.4.0
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+  - tornado==6.3.3
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+  - triton==2.1.0
+  - turnkeyml==0.2.0
+  - typeguard==4.1.5
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+  - xxhash==3.4.1
+  - yacs==0.1.8
+  - yarl==1.9.2
+  - zipp==3.17.0
+task: Computer_Vision
diff --git a/Computer_Vision/mobilevitv2_050_Opset17_timm/mobilevitv2_050_Opset17.onnx b/Computer_Vision/mobilevitv2_050_Opset17_timm/mobilevitv2_050_Opset17.onnx
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index 000000000..50224fbfd
--- /dev/null
+++ b/Computer_Vision/mobilevitv2_050_Opset17_timm/mobilevitv2_050_Opset17.onnx
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:44e37d947a1a956ecb3d6e14e85796cf7cc0f2fff461f979282e1d710bc638ee
+size 5589619
diff --git a/Computer_Vision/mobilevitv2_050_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/mobilevitv2_050_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..7a2865165
--- /dev/null
+++ b/Computer_Vision/mobilevitv2_050_Opset17_timm/turnkey_stats.yaml
@@ -0,0 +1,210 @@
+author: timm
+builds:
+  x86_ort:
+    all_build_stages:
+    - export_pytorch
+    - set_success
+    benchmark_status: successful
+    completed_build_stages:
+      export_pytorch: 1.3455498218536377
+      set_success: 0.01633143424987793
+    device_type: x86
+    iterations: 100
+    onnx_file: /home/azureuser/.cache/turnkey/mobilevitv2_050_timm_3b05d760/onnx/mobilevitv2_050_timm_3b05d760-op17-base.onnx
+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/mobilevitv2_050.py
+class: ByobNet
+hash: b24d08cf
+model_name: mobilevitv2_050
+onnx_input_dimensions:
+  x:
+  - 1
+  - 3
+  - 256
+  - 256
+onnx_model_information:
+  ir_version: 8
+  opset: 17
+  size on disk (KiB): 5458.6445
+onnx_ops_counter:
+  Add: 40
+  Constant: 79
+  Conv: 64
+  Expand: 9
+  Flatten: 1
+  Gemm: 1
+  GlobalAveragePool: 1
+  InstanceNormalization: 21
+  Mul: 64
+  ReduceSum: 9
+  Relu: 9
+  Reshape: 54
+  Shape: 30
+  Sigmoid: 25
+  Softmax: 9
+  Split: 9
+  Transpose: 6
+parameters: 1370593
+system_info:
+  Memory Info: 62.79 GB
+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
+  Processor: Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
+  Python Packages:
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+  - jinja2==3.1.2
+  - markdown==3.5.1
+  - markupsafe==2.1.3
+  - pillow==10.1.0
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+  - nvidia-cusolver-cu12==11.4.5.107
+  - nvidia-cusparse-cu12==12.1.0.106
+  - nvidia-nccl-cu12==2.18.1
+  - nvidia-nvjitlink-cu12==12.3.52
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diff --git a/Computer_Vision/mobilevitv2_050_Opset18_timm/mobilevitv2_050_Opset18.onnx b/Computer_Vision/mobilevitv2_050_Opset18_timm/mobilevitv2_050_Opset18.onnx
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--- /dev/null
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diff --git a/Computer_Vision/mobilevitv2_050_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/mobilevitv2_050_Opset18_timm/turnkey_stats.yaml
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index 000000000..526732c13
--- /dev/null
+++ b/Computer_Vision/mobilevitv2_050_Opset18_timm/turnkey_stats.yaml
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+author: timm
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/mobilevitv2_050.py
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+hash: b24d08cf
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+  - 1
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+  - 256
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+  Relu: 9
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+  Shape: 30
+  Sigmoid: 25
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+  Transpose: 6
+parameters: 1370593
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+  OEM System: Virtual Machine
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diff --git a/Computer_Vision/mobilevitv2_075_Opset16_timm/mobilevitv2_075_Opset16.onnx b/Computer_Vision/mobilevitv2_075_Opset16_timm/mobilevitv2_075_Opset16.onnx
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diff --git a/Computer_Vision/mobilevitv2_075_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/mobilevitv2_075_Opset16_timm/turnkey_stats.yaml
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index 000000000..8a0074af1
--- /dev/null
+++ b/Computer_Vision/mobilevitv2_075_Opset16_timm/turnkey_stats.yaml
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+author: timm
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+    runtime: ort
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+hash: e7453948
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+  - 256
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+  Shape: 30
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+  Split: 9
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+parameters: 2866009
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+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
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diff --git a/Computer_Vision/mobilevitv2_075_Opset17_timm/mobilevitv2_075_Opset17.onnx b/Computer_Vision/mobilevitv2_075_Opset17_timm/mobilevitv2_075_Opset17.onnx
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diff --git a/Computer_Vision/mobilevitv2_075_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/mobilevitv2_075_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..5d2dba392
--- /dev/null
+++ b/Computer_Vision/mobilevitv2_075_Opset17_timm/turnkey_stats.yaml
@@ -0,0 +1,210 @@
+author: timm
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+    - set_success
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/mobilevitv2_075.py
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+  - 256
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+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
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+  - xxhash==3.4.1
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+task: Computer_Vision
diff --git a/Computer_Vision/mobilevitv2_075_Opset18_timm/mobilevitv2_075_Opset18.onnx b/Computer_Vision/mobilevitv2_075_Opset18_timm/mobilevitv2_075_Opset18.onnx
new file mode 100644
index 000000000..e7a914e63
--- /dev/null
+++ b/Computer_Vision/mobilevitv2_075_Opset18_timm/mobilevitv2_075_Opset18.onnx
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:53a06933aa2d824a2f9f38d5c4881bd2ee55734565f3fea4452979e574da86b1
+size 11563559
diff --git a/Computer_Vision/mobilevitv2_075_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/mobilevitv2_075_Opset18_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..e1aa1a188
--- /dev/null
+++ b/Computer_Vision/mobilevitv2_075_Opset18_timm/turnkey_stats.yaml
@@ -0,0 +1,210 @@
+author: timm
+builds:
+  x86_ort:
+    all_build_stages:
+    - export_pytorch
+    - set_success
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+      export_pytorch: 1.4243109226226807
+      set_success: 0.01777338981628418
+    device_type: x86
+    iterations: 100
+    onnx_file: /home/azureuser/.cache/turnkey/mobilevitv2_075_timm_ea749edd/onnx/mobilevitv2_075_timm_ea749edd-op18-base.onnx
+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/mobilevitv2_075.py
+class: ByobNet
+hash: e7453948
+model_name: mobilevitv2_075
+onnx_input_dimensions:
+  x:
+  - 1
+  - 3
+  - 256
+  - 256
+onnx_model_information:
+  ir_version: 8
+  opset: 18
+  size on disk (KiB): 11292.5703
+onnx_ops_counter:
+  Add: 40
+  Constant: 79
+  Conv: 64
+  Expand: 9
+  Flatten: 1
+  Gemm: 1
+  GlobalAveragePool: 1
+  InstanceNormalization: 21
+  Mul: 64
+  ReduceSum: 9
+  Relu: 9
+  Reshape: 54
+  Shape: 30
+  Sigmoid: 25
+  Softmax: 9
+  Split: 9
+  Transpose: 6
+parameters: 2866009
+system_info:
+  Memory Info: 62.79 GB
+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
+  Processor: Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
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+task: Computer_Vision
diff --git a/Computer_Vision/mobilevitv2_100_Opset16_timm/mobilevitv2_100_Opset16.onnx b/Computer_Vision/mobilevitv2_100_Opset16_timm/mobilevitv2_100_Opset16.onnx
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+version https://git-lfs.github.com/spec/v1
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diff --git a/Computer_Vision/mobilevitv2_100_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/mobilevitv2_100_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..643c55b4e
--- /dev/null
+++ b/Computer_Vision/mobilevitv2_100_Opset16_timm/turnkey_stats.yaml
@@ -0,0 +1,210 @@
+author: timm
+builds:
+  x86_ort:
+    all_build_stages:
+    - export_pytorch
+    - set_success
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+    completed_build_stages:
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+      set_success: 0.017277956008911133
+    device_type: x86
+    iterations: 100
+    onnx_file: /home/azureuser/.cache/turnkey/mobilevitv2_100_timm_92d04685/onnx/mobilevitv2_100_timm_92d04685-op16-base.onnx
+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/mobilevitv2_100.py
+class: ByobNet
+hash: da91f9ed
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+  - 1
+  - 3
+  - 256
+  - 256
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+  opset: 16
+  size on disk (KiB): 19237.4902
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+  Constant: 79
+  Conv: 64
+  Expand: 9
+  Flatten: 1
+  Gemm: 1
+  GlobalAveragePool: 1
+  InstanceNormalization: 21
+  Mul: 64
+  ReduceSum: 9
+  Relu: 9
+  Reshape: 54
+  Shape: 30
+  Sigmoid: 25
+  Softmax: 9
+  Split: 9
+  Transpose: 6
+parameters: 4901841
+system_info:
+  Memory Info: 62.79 GB
+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
+  Processor: Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
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+  - xxhash==3.4.1
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diff --git a/Computer_Vision/mobilevitv2_100_Opset17_timm/mobilevitv2_100_Opset17.onnx b/Computer_Vision/mobilevitv2_100_Opset17_timm/mobilevitv2_100_Opset17.onnx
new file mode 100644
index 000000000..7351032ee
--- /dev/null
+++ b/Computer_Vision/mobilevitv2_100_Opset17_timm/mobilevitv2_100_Opset17.onnx
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
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diff --git a/Computer_Vision/mobilevitv2_100_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/mobilevitv2_100_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..baf3c82ce
--- /dev/null
+++ b/Computer_Vision/mobilevitv2_100_Opset17_timm/turnkey_stats.yaml
@@ -0,0 +1,210 @@
+author: timm
+builds:
+  x86_ort:
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+    - export_pytorch
+    - set_success
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+      set_success: 0.01677870750427246
+    device_type: x86
+    iterations: 100
+    onnx_file: /home/azureuser/.cache/turnkey/mobilevitv2_100_timm_92d04685/onnx/mobilevitv2_100_timm_92d04685-op17-base.onnx
+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/mobilevitv2_100.py
+class: ByobNet
+hash: da91f9ed
+model_name: mobilevitv2_100
+onnx_input_dimensions:
+  x:
+  - 1
+  - 3
+  - 256
+  - 256
+onnx_model_information:
+  ir_version: 8
+  opset: 17
+  size on disk (KiB): 19237.4902
+onnx_ops_counter:
+  Add: 40
+  Constant: 79
+  Conv: 64
+  Expand: 9
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+  Gemm: 1
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+  InstanceNormalization: 21
+  Mul: 64
+  ReduceSum: 9
+  Relu: 9
+  Reshape: 54
+  Shape: 30
+  Sigmoid: 25
+  Softmax: 9
+  Split: 9
+  Transpose: 6
+parameters: 4901841
+system_info:
+  Memory Info: 62.79 GB
+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
+  Processor: Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
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+task: Computer_Vision
diff --git a/Computer_Vision/mobilevitv2_100_Opset18_timm/mobilevitv2_100_Opset18.onnx b/Computer_Vision/mobilevitv2_100_Opset18_timm/mobilevitv2_100_Opset18.onnx
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index 000000000..4e6df8ab0
--- /dev/null
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+version https://git-lfs.github.com/spec/v1
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diff --git a/Computer_Vision/mobilevitv2_100_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/mobilevitv2_100_Opset18_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..51f37d37d
--- /dev/null
+++ b/Computer_Vision/mobilevitv2_100_Opset18_timm/turnkey_stats.yaml
@@ -0,0 +1,210 @@
+author: timm
+builds:
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+    - export_pytorch
+    - set_success
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+      set_success: 0.017642736434936523
+    device_type: x86
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+    onnx_file: /home/azureuser/.cache/turnkey/mobilevitv2_100_timm_92d04685/onnx/mobilevitv2_100_timm_92d04685-op18-base.onnx
+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/mobilevitv2_100.py
+class: ByobNet
+hash: da91f9ed
+model_name: mobilevitv2_100
+onnx_input_dimensions:
+  x:
+  - 1
+  - 3
+  - 256
+  - 256
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+  ir_version: 8
+  opset: 18
+  size on disk (KiB): 19237.4902
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+  Add: 40
+  Constant: 79
+  Conv: 64
+  Expand: 9
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+  Gemm: 1
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+  InstanceNormalization: 21
+  Mul: 64
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+  Relu: 9
+  Reshape: 54
+  Shape: 30
+  Sigmoid: 25
+  Softmax: 9
+  Split: 9
+  Transpose: 6
+parameters: 4901841
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+  Memory Info: 62.79 GB
+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
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+  - yarl==1.9.2
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diff --git a/Computer_Vision/mobilevitv2_125_Opset16_timm/mobilevitv2_125_Opset16.onnx b/Computer_Vision/mobilevitv2_125_Opset16_timm/mobilevitv2_125_Opset16.onnx
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index 000000000..3409c7aa1
--- /dev/null
+++ b/Computer_Vision/mobilevitv2_125_Opset16_timm/mobilevitv2_125_Opset16.onnx
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diff --git a/Computer_Vision/mobilevitv2_125_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/mobilevitv2_125_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..d24fcbfe3
--- /dev/null
+++ b/Computer_Vision/mobilevitv2_125_Opset16_timm/turnkey_stats.yaml
@@ -0,0 +1,210 @@
+author: timm
+builds:
+  x86_ort:
+    all_build_stages:
+    - export_pytorch
+    - set_success
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+      set_success: 0.01832270622253418
+    device_type: x86
+    iterations: 100
+    onnx_file: /home/azureuser/.cache/turnkey/mobilevitv2_125_timm_d21dfc4c/onnx/mobilevitv2_125_timm_d21dfc4c-op16-base.onnx
+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/mobilevitv2_125.py
+class: ByobNet
+hash: a7761015
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+  - 1
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+  - 256
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+  Shape: 30
+  Sigmoid: 25
+  Softmax: 9
+  Split: 9
+  Transpose: 6
+parameters: 7478089
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+  Memory Info: 62.79 GB
+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
+  Processor: Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
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+  - multiprocess==0.70.15
+  - networkx==3.1
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+  - numpy==1.24.4
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+  - nvidia-cuda-nvrtc-cu12==12.1.105
+  - nvidia-cuda-runtime-cu12==12.1.105
+  - nvidia-cudnn-cu12==8.9.2.26
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+  - nvidia-cusolver-cu12==11.4.5.107
+  - nvidia-cusparse-cu12==12.1.0.106
+  - nvidia-nccl-cu12==2.18.1
+  - nvidia-nvjitlink-cu12==12.3.52
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+  - oauthlib==3.2.2
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+  - tensorboard==2.14.0
+  - tensorboard-data-server==0.7.2
+  - termcolor==2.3.0
+  - threadpoolctl==3.2.0
+  - timm==0.9.8
+  - tokenizers==0.14.1
+  - toml==0.10.2
+  - toolz==0.12.0
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+  - torch-geometric==2.4.0
+  - torchaudio==2.1.0
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+  - turnkeyml==0.2.0
+  - typeguard==4.1.5
+  - typing-extensions==4.8.0
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+  - xxhash==3.4.1
+  - yacs==0.1.8
+  - yarl==1.9.2
+  - zipp==3.17.0
+task: Computer_Vision
diff --git a/Computer_Vision/mobilevitv2_125_Opset17_timm/mobilevitv2_125_Opset17.onnx b/Computer_Vision/mobilevitv2_125_Opset17_timm/mobilevitv2_125_Opset17.onnx
new file mode 100644
index 000000000..0bfe53620
--- /dev/null
+++ b/Computer_Vision/mobilevitv2_125_Opset17_timm/mobilevitv2_125_Opset17.onnx
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c64de27c517ff92bf4ea30fd901f72dc758f8c87a4c26638d66b4bed166a366e
+size 29996379
diff --git a/Computer_Vision/mobilevitv2_125_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/mobilevitv2_125_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..28cd60e9c
--- /dev/null
+++ b/Computer_Vision/mobilevitv2_125_Opset17_timm/turnkey_stats.yaml
@@ -0,0 +1,210 @@
+author: timm
+builds:
+  x86_ort:
+    all_build_stages:
+    - export_pytorch
+    - set_success
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+    completed_build_stages:
+      export_pytorch: 1.8025190830230713
+      set_success: 0.02325296401977539
+    device_type: x86
+    iterations: 100
+    onnx_file: /home/azureuser/.cache/turnkey/mobilevitv2_125_timm_d21dfc4c/onnx/mobilevitv2_125_timm_d21dfc4c-op17-base.onnx
+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/mobilevitv2_125.py
+class: ByobNet
+hash: a7761015
+model_name: mobilevitv2_125
+onnx_input_dimensions:
+  x:
+  - 1
+  - 3
+  - 256
+  - 256
+onnx_model_information:
+  ir_version: 8
+  opset: 17
+  size on disk (KiB): 29293.3711
+onnx_ops_counter:
+  Add: 40
+  Constant: 79
+  Conv: 64
+  Expand: 9
+  Flatten: 1
+  Gemm: 1
+  GlobalAveragePool: 1
+  InstanceNormalization: 21
+  Mul: 64
+  ReduceSum: 9
+  Relu: 9
+  Reshape: 54
+  Shape: 30
+  Sigmoid: 25
+  Softmax: 9
+  Split: 9
+  Transpose: 6
+parameters: 7478089
+system_info:
+  Memory Info: 62.79 GB
+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
+  Processor: Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
+  Python Packages:
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+  - jinja2==3.1.2
+  - markdown==3.5.1
+  - markupsafe==2.1.3
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+  - nvidia-cuda-cupti-cu12==12.1.105
+  - nvidia-cuda-nvrtc-cu12==12.1.105
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+  - timm==0.9.8
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+  - turnkeyml==0.2.0
+  - typeguard==4.1.5
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+  - xxhash==3.4.1
+  - yacs==0.1.8
+  - yarl==1.9.2
+  - zipp==3.17.0
+task: Computer_Vision
diff --git a/Computer_Vision/mobilevitv2_125_Opset18_timm/mobilevitv2_125_Opset18.onnx b/Computer_Vision/mobilevitv2_125_Opset18_timm/mobilevitv2_125_Opset18.onnx
new file mode 100644
index 000000000..ef599e8b4
--- /dev/null
+++ b/Computer_Vision/mobilevitv2_125_Opset18_timm/mobilevitv2_125_Opset18.onnx
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a7187132c19d0d4272291b00ca03ee27eeb81fe75514fd8c853cc653751b3c2d
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diff --git a/Computer_Vision/mobilevitv2_125_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/mobilevitv2_125_Opset18_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..f5b0feb5a
--- /dev/null
+++ b/Computer_Vision/mobilevitv2_125_Opset18_timm/turnkey_stats.yaml
@@ -0,0 +1,210 @@
+author: timm
+builds:
+  x86_ort:
+    all_build_stages:
+    - export_pytorch
+    - set_success
+    benchmark_status: successful
+    completed_build_stages:
+      export_pytorch: 1.647040605545044
+      set_success: 0.0198667049407959
+    device_type: x86
+    iterations: 100
+    onnx_file: /home/azureuser/.cache/turnkey/mobilevitv2_125_timm_d21dfc4c/onnx/mobilevitv2_125_timm_d21dfc4c-op18-base.onnx
+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/mobilevitv2_125.py
+class: ByobNet
+hash: a7761015
+model_name: mobilevitv2_125
+onnx_input_dimensions:
+  x:
+  - 1
+  - 3
+  - 256
+  - 256
+onnx_model_information:
+  ir_version: 8
+  opset: 18
+  size on disk (KiB): 29293.3711
+onnx_ops_counter:
+  Add: 40
+  Constant: 79
+  Conv: 64
+  Expand: 9
+  Flatten: 1
+  Gemm: 1
+  GlobalAveragePool: 1
+  InstanceNormalization: 21
+  Mul: 64
+  ReduceSum: 9
+  Relu: 9
+  Reshape: 54
+  Shape: 30
+  Sigmoid: 25
+  Softmax: 9
+  Split: 9
+  Transpose: 6
+parameters: 7478089
+system_info:
+  Memory Info: 62.79 GB
+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
+  Processor: Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
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+  - jinja2==3.1.2
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+  - yarl==1.9.2
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+task: Computer_Vision
diff --git a/Computer_Vision/mobilevitv2_150_384_in22ft1k_Opset16_timm/mobilevitv2_150_384_in22ft1k_Opset16.onnx b/Computer_Vision/mobilevitv2_150_384_in22ft1k_Opset16_timm/mobilevitv2_150_384_in22ft1k_Opset16.onnx
new file mode 100644
index 000000000..921d7537c
--- /dev/null
+++ b/Computer_Vision/mobilevitv2_150_384_in22ft1k_Opset16_timm/mobilevitv2_150_384_in22ft1k_Opset16.onnx
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diff --git a/Computer_Vision/mobilevitv2_150_384_in22ft1k_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/mobilevitv2_150_384_in22ft1k_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..0f328917e
--- /dev/null
+++ b/Computer_Vision/mobilevitv2_150_384_in22ft1k_Opset16_timm/turnkey_stats.yaml
@@ -0,0 +1,210 @@
+author: timm
+builds:
+  x86_ort:
+    all_build_stages:
+    - export_pytorch
+    - set_success
+    benchmark_status: successful
+    completed_build_stages:
+      export_pytorch: 1.9527337551116943
+      set_success: 0.02006363868713379
+    device_type: x86
+    iterations: 100
+    onnx_file: /home/azureuser/.cache/turnkey/mobilevitv2_150_384_in22ft1k_timm_5e3b9339/onnx/mobilevitv2_150_384_in22ft1k_timm_5e3b9339-op16-base.onnx
+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/mobilevitv2_150_384_in22ft1k.py
+class: ByobNet
+hash: bee9b4dd
+model_name: mobilevitv2_150_384_in22ft1k
+onnx_input_dimensions:
+  x:
+  - 1
+  - 3
+  - 384
+  - 384
+onnx_model_information:
+  ir_version: 8
+  opset: 16
+  size on disk (KiB): 41460.252
+onnx_ops_counter:
+  Add: 40
+  Constant: 79
+  Conv: 64
+  Expand: 9
+  Flatten: 1
+  Gemm: 1
+  GlobalAveragePool: 1
+  InstanceNormalization: 21
+  Mul: 64
+  ReduceSum: 9
+  Relu: 9
+  Reshape: 54
+  Shape: 30
+  Sigmoid: 25
+  Softmax: 9
+  Split: 9
+  Transpose: 6
+parameters: 10594753
+system_info:
+  Memory Info: 62.79 GB
+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
+  Processor: Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
+  Python Packages:
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+  - jinja2==3.1.2
+  - markdown==3.5.1
+  - markupsafe==2.1.3
+  - pillow==10.1.0
+  - pynacl==1.5.0
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+  - absl-py==2.0.0
+  - aiohttp==3.8.6
+  - aiosignal==1.3.1
+  - altair==5.1.2
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+  - async-timeout==4.0.3
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+  - backports.zoneinfo==0.2.1
+  - bcrypt==4.0.1
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+  - charset-normalizer==3.3.2
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+  - coloredlogs==15.0.1
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+  - gitdb==4.0.11
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+  - pycparser==2.21
+  - pydeck==0.8.1b0
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+  - referencing==0.30.2
+  - regex==2023.10.3
+  - requests==2.31.0
+  - requests-oauthlib==1.3.1
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+  - s3transfer==0.7.0
+  - safetensors==0.4.0
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+  - timm==0.9.8
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+  - torch-geometric==2.4.0
+  - torchaudio==2.1.0
+  - torchvision==0.16.0
+  - tornado==6.3.3
+  - tqdm==4.66.1
+  - transformers==4.35.0
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+  - typeguard==4.1.5
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+  - xxhash==3.4.1
+  - yacs==0.1.8
+  - yarl==1.9.2
+  - zipp==3.17.0
+task: Computer_Vision
diff --git a/Computer_Vision/mobilevitv2_150_384_in22ft1k_Opset17_timm/mobilevitv2_150_384_in22ft1k_Opset17.onnx b/Computer_Vision/mobilevitv2_150_384_in22ft1k_Opset17_timm/mobilevitv2_150_384_in22ft1k_Opset17.onnx
new file mode 100644
index 000000000..b31881dcc
--- /dev/null
+++ b/Computer_Vision/mobilevitv2_150_384_in22ft1k_Opset17_timm/mobilevitv2_150_384_in22ft1k_Opset17.onnx
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+version https://git-lfs.github.com/spec/v1
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diff --git a/Computer_Vision/mobilevitv2_150_384_in22ft1k_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/mobilevitv2_150_384_in22ft1k_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..5c6165945
--- /dev/null
+++ b/Computer_Vision/mobilevitv2_150_384_in22ft1k_Opset17_timm/turnkey_stats.yaml
@@ -0,0 +1,210 @@
+author: timm
+builds:
+  x86_ort:
+    all_build_stages:
+    - export_pytorch
+    - set_success
+    benchmark_status: successful
+    completed_build_stages:
+      export_pytorch: 1.8377583026885986
+      set_success: 0.01983809471130371
+    device_type: x86
+    iterations: 100
+    onnx_file: /home/azureuser/.cache/turnkey/mobilevitv2_150_384_in22ft1k_timm_5e3b9339/onnx/mobilevitv2_150_384_in22ft1k_timm_5e3b9339-op17-base.onnx
+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/mobilevitv2_150_384_in22ft1k.py
+class: ByobNet
+hash: bee9b4dd
+model_name: mobilevitv2_150_384_in22ft1k
+onnx_input_dimensions:
+  x:
+  - 1
+  - 3
+  - 384
+  - 384
+onnx_model_information:
+  ir_version: 8
+  opset: 17
+  size on disk (KiB): 41460.252
+onnx_ops_counter:
+  Add: 40
+  Constant: 79
+  Conv: 64
+  Expand: 9
+  Flatten: 1
+  Gemm: 1
+  GlobalAveragePool: 1
+  InstanceNormalization: 21
+  Mul: 64
+  ReduceSum: 9
+  Relu: 9
+  Reshape: 54
+  Shape: 30
+  Sigmoid: 25
+  Softmax: 9
+  Split: 9
+  Transpose: 6
+parameters: 10594753
+system_info:
+  Memory Info: 62.79 GB
+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
+  Processor: Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
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+  - typeguard==4.1.5
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+  - xxhash==3.4.1
+  - yacs==0.1.8
+  - yarl==1.9.2
+  - zipp==3.17.0
+task: Computer_Vision
diff --git a/Computer_Vision/mobilevitv2_150_384_in22ft1k_Opset18_timm/mobilevitv2_150_384_in22ft1k_Opset18.onnx b/Computer_Vision/mobilevitv2_150_384_in22ft1k_Opset18_timm/mobilevitv2_150_384_in22ft1k_Opset18.onnx
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diff --git a/Computer_Vision/mobilevitv2_150_384_in22ft1k_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/mobilevitv2_150_384_in22ft1k_Opset18_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..d55f83c5e
--- /dev/null
+++ b/Computer_Vision/mobilevitv2_150_384_in22ft1k_Opset18_timm/turnkey_stats.yaml
@@ -0,0 +1,210 @@
+author: timm
+builds:
+  x86_ort:
+    all_build_stages:
+    - export_pytorch
+    - set_success
+    benchmark_status: successful
+    completed_build_stages:
+      export_pytorch: 1.8518147468566895
+      set_success: 0.022292613983154297
+    device_type: x86
+    iterations: 100
+    onnx_file: /home/azureuser/.cache/turnkey/mobilevitv2_150_384_in22ft1k_timm_5e3b9339/onnx/mobilevitv2_150_384_in22ft1k_timm_5e3b9339-op18-base.onnx
+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/mobilevitv2_150_384_in22ft1k.py
+class: ByobNet
+hash: bee9b4dd
+model_name: mobilevitv2_150_384_in22ft1k
+onnx_input_dimensions:
+  x:
+  - 1
+  - 3
+  - 384
+  - 384
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+  ir_version: 8
+  opset: 18
+  size on disk (KiB): 41460.252
+onnx_ops_counter:
+  Add: 40
+  Constant: 79
+  Conv: 64
+  Expand: 9
+  Flatten: 1
+  Gemm: 1
+  GlobalAveragePool: 1
+  InstanceNormalization: 21
+  Mul: 64
+  ReduceSum: 9
+  Relu: 9
+  Reshape: 54
+  Shape: 30
+  Sigmoid: 25
+  Softmax: 9
+  Split: 9
+  Transpose: 6
+parameters: 10594753
+system_info:
+  Memory Info: 62.79 GB
+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
+  Processor: Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
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+  - jinja2==3.1.2
+  - markdown==3.5.1
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+  - jsonschema-specifications==2023.7.1
+  - lightgbm==3.3.5
+  - markdown-it-py==3.0.0
+  - mdurl==0.1.2
+  - mpmath==1.3.0
+  - multidict==6.0.4
+  - multiprocess==0.70.15
+  - networkx==3.1
+  - nltk==3.8.1
+  - numpy==1.24.4
+  - nvidia-cublas-cu12==12.1.3.1
+  - nvidia-cuda-cupti-cu12==12.1.105
+  - nvidia-cuda-nvrtc-cu12==12.1.105
+  - nvidia-cuda-runtime-cu12==12.1.105
+  - nvidia-cudnn-cu12==8.9.2.26
+  - nvidia-cufft-cu12==11.0.2.54
+  - nvidia-curand-cu12==10.3.2.106
+  - nvidia-cusolver-cu12==11.4.5.107
+  - nvidia-cusparse-cu12==12.1.0.106
+  - nvidia-nccl-cu12==2.18.1
+  - nvidia-nvjitlink-cu12==12.3.52
+  - nvidia-nvtx-cu12==12.1.105
+  - oauthlib==3.2.2
+  - onnx==1.15.0
+  - onnxconverter-common==1.14.0
+  - onnxmltools==1.10.0
+  - onnxruntime==1.15.1
+  - packaging==23.2
+  - pandas==2.0.3
+  - paramiko==2.11.0
+  - pathtools==0.1.2
+  - pip==23.3
+  - pkgutil-resolve-name==1.3.10
+  - portalocker==2.8.2
+  - protobuf==3.20.2
+  - psutil==5.9.6
+  - pyarrow==14.0.0
+  - pyasn1==0.5.0
+  - pyasn1-modules==0.3.0
+  - pycparser==2.21
+  - pydeck==0.8.1b0
+  - pyparsing==3.1.1
+  - python-dateutil==2.8.2
+  - pytorch-pretrained-biggan==0.1.1
+  - pytz==2023.3.post1
+  - referencing==0.30.2
+  - regex==2023.10.3
+  - requests==2.31.0
+  - requests-oauthlib==1.3.1
+  - rich==13.6.0
+  - rjieba==0.1.11
+  - roformer==0.4.3
+  - rpds-py==0.10.6
+  - rsa==4.9
+  - s3transfer==0.7.0
+  - safetensors==0.4.0
+  - scikit-learn==1.1.1
+  - scipy==1.10.1
+  - sentence-transformers==2.2.2
+  - sentencepiece==0.1.99
+  - sentry-sdk==1.34.0
+  - seqeval==1.2.2
+  - setproctitle==1.3.3
+  - setuptools==68.0.0
+  - simpletransformers==0.64.3
+  - six==1.16.0
+  - skl2onnx==1.15.0
+  - smmap==5.0.1
+  - streamlit==1.28.1
+  - sympy==1.12
+  - tabulate==0.9.0
+  - tenacity==8.2.3
+  - tensorboard==2.14.0
+  - tensorboard-data-server==0.7.2
+  - termcolor==2.3.0
+  - threadpoolctl==3.2.0
+  - timm==0.9.8
+  - tokenizers==0.14.1
+  - toml==0.10.2
+  - toolz==0.12.0
+  - torch==2.1.0
+  - torch-geometric==2.4.0
+  - torchaudio==2.1.0
+  - torchvision==0.16.0
+  - tornado==6.3.3
+  - tqdm==4.66.1
+  - transformers==4.35.0
+  - triton==2.1.0
+  - turnkeyml==0.2.0
+  - typeguard==4.1.5
+  - typing-extensions==4.8.0
+  - tzdata==2023.3
+  - tzlocal==5.2
+  - urllib3==1.26.18
+  - validators==0.22.0
+  - wandb==0.15.12
+  - watchdog==3.0.0
+  - werkzeug==3.0.1
+  - wheel==0.41.2
+  - xgboost==1.6.1
+  - xxhash==3.4.1
+  - yacs==0.1.8
+  - yarl==1.9.2
+  - zipp==3.17.0
+task: Computer_Vision
diff --git a/Computer_Vision/mobilevitv2_150_Opset16_timm/mobilevitv2_150_Opset16.onnx b/Computer_Vision/mobilevitv2_150_Opset16_timm/mobilevitv2_150_Opset16.onnx
new file mode 100644
index 000000000..79ecf34bc
--- /dev/null
+++ b/Computer_Vision/mobilevitv2_150_Opset16_timm/mobilevitv2_150_Opset16.onnx
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ec0e2fba0de16ef07e817f601de1c88590c8a9cd4792aa226d6ffb6031f1864d
+size 42455263
diff --git a/Computer_Vision/mobilevitv2_150_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/mobilevitv2_150_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..14823dd2a
--- /dev/null
+++ b/Computer_Vision/mobilevitv2_150_Opset16_timm/turnkey_stats.yaml
@@ -0,0 +1,210 @@
+author: timm
+builds:
+  x86_ort:
+    all_build_stages:
+    - export_pytorch
+    - set_success
+    benchmark_status: successful
+    completed_build_stages:
+      export_pytorch: 1.7830636501312256
+      set_success: 0.018277406692504883
+    device_type: x86
+    iterations: 100
+    onnx_file: /home/azureuser/.cache/turnkey/mobilevitv2_150_timm_7dda6d84/onnx/mobilevitv2_150_timm_7dda6d84-op16-base.onnx
+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/mobilevitv2_150.py
+class: ByobNet
+hash: bee9b4dd
+model_name: mobilevitv2_150
+onnx_input_dimensions:
+  x:
+  - 1
+  - 3
+  - 256
+  - 256
+onnx_model_information:
+  ir_version: 8
+  opset: 16
+  size on disk (KiB): 41460.25
+onnx_ops_counter:
+  Add: 40
+  Constant: 79
+  Conv: 64
+  Expand: 9
+  Flatten: 1
+  Gemm: 1
+  GlobalAveragePool: 1
+  InstanceNormalization: 21
+  Mul: 64
+  ReduceSum: 9
+  Relu: 9
+  Reshape: 54
+  Shape: 30
+  Sigmoid: 25
+  Softmax: 9
+  Split: 9
+  Transpose: 6
+parameters: 10594753
+system_info:
+  Memory Info: 62.79 GB
+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
+  Processor: Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
+  Python Packages:
+  - gitpython==3.1.40
+  - jinja2==3.1.2
+  - markdown==3.5.1
+  - markupsafe==2.1.3
+  - pillow==10.1.0
+  - pynacl==1.5.0
+  - pyyaml==6.0.1
+  - pygments==2.16.1
+  - absl-py==2.0.0
+  - aiohttp==3.8.6
+  - aiosignal==1.3.1
+  - altair==5.1.2
+  - appdirs==1.4.4
+  - async-timeout==4.0.3
+  - attrs==23.1.0
+  - backports.zoneinfo==0.2.1
+  - bcrypt==4.0.1
+  - blinker==1.7.0
+  - boto3==1.28.77
+  - botocore==1.31.77
+  - cachetools==5.3.2
+  - certifi==2023.7.22
+  - cffi==1.16.0
+  - charset-normalizer==3.3.2
+  - click==8.1.7
+  - coloredlogs==15.0.1
+  - cryptography==41.0.5
+  - datasets==2.14.6
+  - diffusers==0.12.0
+  - dill==0.3.7
+  - docker-pycreds==0.4.0
+  - fasteners==0.19
+  - filelock==3.13.1
+  - flatbuffers==23.5.26
+  - frozenlist==1.4.0
+  - fsspec==2023.10.0
+  - fvcore==0.1.5.post20221221
+  - gitdb==4.0.11
+  - google-auth==2.23.4
+  - google-auth-oauthlib==1.0.0
+  - grpcio==1.59.2
+  - huggingface-hub==0.17.3
+  - humanfriendly==10.0
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+  - idna==3.4
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+  - importlib-resources==6.1.0
+  - invoke==2.2.0
+  - iopath==0.1.10
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+  - joblib==1.3.2
+  - jsonschema==4.19.2
+  - jsonschema-specifications==2023.7.1
+  - lightgbm==3.3.5
+  - markdown-it-py==3.0.0
+  - mdurl==0.1.2
+  - mpmath==1.3.0
+  - multidict==6.0.4
+  - multiprocess==0.70.15
+  - networkx==3.1
+  - nltk==3.8.1
+  - numpy==1.24.4
+  - nvidia-cublas-cu12==12.1.3.1
+  - nvidia-cuda-cupti-cu12==12.1.105
+  - nvidia-cuda-nvrtc-cu12==12.1.105
+  - nvidia-cuda-runtime-cu12==12.1.105
+  - nvidia-cudnn-cu12==8.9.2.26
+  - nvidia-cufft-cu12==11.0.2.54
+  - nvidia-curand-cu12==10.3.2.106
+  - nvidia-cusolver-cu12==11.4.5.107
+  - nvidia-cusparse-cu12==12.1.0.106
+  - nvidia-nccl-cu12==2.18.1
+  - nvidia-nvjitlink-cu12==12.3.52
+  - nvidia-nvtx-cu12==12.1.105
+  - oauthlib==3.2.2
+  - onnx==1.15.0
+  - onnxconverter-common==1.14.0
+  - onnxmltools==1.10.0
+  - onnxruntime==1.15.1
+  - packaging==23.2
+  - pandas==2.0.3
+  - paramiko==2.11.0
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+  - portalocker==2.8.2
+  - protobuf==3.20.2
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+  - pyarrow==14.0.0
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+  - pyasn1-modules==0.3.0
+  - pycparser==2.21
+  - pydeck==0.8.1b0
+  - pyparsing==3.1.1
+  - python-dateutil==2.8.2
+  - pytorch-pretrained-biggan==0.1.1
+  - pytz==2023.3.post1
+  - referencing==0.30.2
+  - regex==2023.10.3
+  - requests==2.31.0
+  - requests-oauthlib==1.3.1
+  - rich==13.6.0
+  - rjieba==0.1.11
+  - roformer==0.4.3
+  - rpds-py==0.10.6
+  - rsa==4.9
+  - s3transfer==0.7.0
+  - safetensors==0.4.0
+  - scikit-learn==1.1.1
+  - scipy==1.10.1
+  - sentence-transformers==2.2.2
+  - sentencepiece==0.1.99
+  - sentry-sdk==1.34.0
+  - seqeval==1.2.2
+  - setproctitle==1.3.3
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+  - skl2onnx==1.15.0
+  - smmap==5.0.1
+  - streamlit==1.28.1
+  - sympy==1.12
+  - tabulate==0.9.0
+  - tenacity==8.2.3
+  - tensorboard==2.14.0
+  - tensorboard-data-server==0.7.2
+  - termcolor==2.3.0
+  - threadpoolctl==3.2.0
+  - timm==0.9.8
+  - tokenizers==0.14.1
+  - toml==0.10.2
+  - toolz==0.12.0
+  - torch==2.1.0
+  - torch-geometric==2.4.0
+  - torchaudio==2.1.0
+  - torchvision==0.16.0
+  - tornado==6.3.3
+  - tqdm==4.66.1
+  - transformers==4.35.0
+  - triton==2.1.0
+  - turnkeyml==0.2.0
+  - typeguard==4.1.5
+  - typing-extensions==4.8.0
+  - tzdata==2023.3
+  - tzlocal==5.2
+  - urllib3==1.26.18
+  - validators==0.22.0
+  - wandb==0.15.12
+  - watchdog==3.0.0
+  - werkzeug==3.0.1
+  - wheel==0.41.2
+  - xgboost==1.6.1
+  - xxhash==3.4.1
+  - yacs==0.1.8
+  - yarl==1.9.2
+  - zipp==3.17.0
+task: Computer_Vision
diff --git a/Computer_Vision/mobilevitv2_150_Opset17_timm/mobilevitv2_150_Opset17.onnx b/Computer_Vision/mobilevitv2_150_Opset17_timm/mobilevitv2_150_Opset17.onnx
new file mode 100644
index 000000000..f73df7233
--- /dev/null
+++ b/Computer_Vision/mobilevitv2_150_Opset17_timm/mobilevitv2_150_Opset17.onnx
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4c8a149dbac026cbe055d959568131a221e774ac807d602040a2030b717ec57f
+size 42455263
diff --git a/Computer_Vision/mobilevitv2_150_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/mobilevitv2_150_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..5f1639959
--- /dev/null
+++ b/Computer_Vision/mobilevitv2_150_Opset17_timm/turnkey_stats.yaml
@@ -0,0 +1,210 @@
+author: timm
+builds:
+  x86_ort:
+    all_build_stages:
+    - export_pytorch
+    - set_success
+    benchmark_status: successful
+    completed_build_stages:
+      export_pytorch: 1.7746121883392334
+      set_success: 0.017585277557373047
+    device_type: x86
+    iterations: 100
+    onnx_file: /home/azureuser/.cache/turnkey/mobilevitv2_150_timm_7dda6d84/onnx/mobilevitv2_150_timm_7dda6d84-op17-base.onnx
+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/mobilevitv2_150.py
+class: ByobNet
+hash: bee9b4dd
+model_name: mobilevitv2_150
+onnx_input_dimensions:
+  x:
+  - 1
+  - 3
+  - 256
+  - 256
+onnx_model_information:
+  ir_version: 8
+  opset: 17
+  size on disk (KiB): 41460.25
+onnx_ops_counter:
+  Add: 40
+  Constant: 79
+  Conv: 64
+  Expand: 9
+  Flatten: 1
+  Gemm: 1
+  GlobalAveragePool: 1
+  InstanceNormalization: 21
+  Mul: 64
+  ReduceSum: 9
+  Relu: 9
+  Reshape: 54
+  Shape: 30
+  Sigmoid: 25
+  Softmax: 9
+  Split: 9
+  Transpose: 6
+parameters: 10594753
+system_info:
+  Memory Info: 62.79 GB
+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
+  Processor: Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
+  Python Packages:
+  - gitpython==3.1.40
+  - jinja2==3.1.2
+  - markdown==3.5.1
+  - markupsafe==2.1.3
+  - pillow==10.1.0
+  - pynacl==1.5.0
+  - pyyaml==6.0.1
+  - pygments==2.16.1
+  - absl-py==2.0.0
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+  - altair==5.1.2
+  - appdirs==1.4.4
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+  - attrs==23.1.0
+  - backports.zoneinfo==0.2.1
+  - bcrypt==4.0.1
+  - blinker==1.7.0
+  - boto3==1.28.77
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+  - cachetools==5.3.2
+  - certifi==2023.7.22
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+  - charset-normalizer==3.3.2
+  - click==8.1.7
+  - coloredlogs==15.0.1
+  - cryptography==41.0.5
+  - datasets==2.14.6
+  - diffusers==0.12.0
+  - dill==0.3.7
+  - docker-pycreds==0.4.0
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+  - fsspec==2023.10.0
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+  - gitdb==4.0.11
+  - google-auth==2.23.4
+  - google-auth-oauthlib==1.0.0
+  - grpcio==1.59.2
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+  - jsonschema-specifications==2023.7.1
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+  - nvidia-cublas-cu12==12.1.3.1
+  - nvidia-cuda-cupti-cu12==12.1.105
+  - nvidia-cuda-nvrtc-cu12==12.1.105
+  - nvidia-cuda-runtime-cu12==12.1.105
+  - nvidia-cudnn-cu12==8.9.2.26
+  - nvidia-cufft-cu12==11.0.2.54
+  - nvidia-curand-cu12==10.3.2.106
+  - nvidia-cusolver-cu12==11.4.5.107
+  - nvidia-cusparse-cu12==12.1.0.106
+  - nvidia-nccl-cu12==2.18.1
+  - nvidia-nvjitlink-cu12==12.3.52
+  - nvidia-nvtx-cu12==12.1.105
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+  - onnx==1.15.0
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+  - rjieba==0.1.11
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+  - rsa==4.9
+  - s3transfer==0.7.0
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+  - tensorboard-data-server==0.7.2
+  - termcolor==2.3.0
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+  - timm==0.9.8
+  - tokenizers==0.14.1
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+  - typeguard==4.1.5
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+  - wandb==0.15.12
+  - watchdog==3.0.0
+  - werkzeug==3.0.1
+  - wheel==0.41.2
+  - xgboost==1.6.1
+  - xxhash==3.4.1
+  - yacs==0.1.8
+  - yarl==1.9.2
+  - zipp==3.17.0
+task: Computer_Vision
diff --git a/Computer_Vision/mobilevitv2_150_Opset18_timm/mobilevitv2_150_Opset18.onnx b/Computer_Vision/mobilevitv2_150_Opset18_timm/mobilevitv2_150_Opset18.onnx
new file mode 100644
index 000000000..ba1306f2c
--- /dev/null
+++ b/Computer_Vision/mobilevitv2_150_Opset18_timm/mobilevitv2_150_Opset18.onnx
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ddb454e3faa15ed67d72724ec739cd97a517d2fdb59a683364d213d773a297f8
+size 42455263
diff --git a/Computer_Vision/mobilevitv2_150_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/mobilevitv2_150_Opset18_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..10784066e
--- /dev/null
+++ b/Computer_Vision/mobilevitv2_150_Opset18_timm/turnkey_stats.yaml
@@ -0,0 +1,210 @@
+author: timm
+builds:
+  x86_ort:
+    all_build_stages:
+    - export_pytorch
+    - set_success
+    benchmark_status: successful
+    completed_build_stages:
+      export_pytorch: 1.7947981357574463
+      set_success: 0.020561933517456055
+    device_type: x86
+    iterations: 100
+    onnx_file: /home/azureuser/.cache/turnkey/mobilevitv2_150_timm_7dda6d84/onnx/mobilevitv2_150_timm_7dda6d84-op18-base.onnx
+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/mobilevitv2_150.py
+class: ByobNet
+hash: bee9b4dd
+model_name: mobilevitv2_150
+onnx_input_dimensions:
+  x:
+  - 1
+  - 3
+  - 256
+  - 256
+onnx_model_information:
+  ir_version: 8
+  opset: 18
+  size on disk (KiB): 41460.25
+onnx_ops_counter:
+  Add: 40
+  Constant: 79
+  Conv: 64
+  Expand: 9
+  Flatten: 1
+  Gemm: 1
+  GlobalAveragePool: 1
+  InstanceNormalization: 21
+  Mul: 64
+  ReduceSum: 9
+  Relu: 9
+  Reshape: 54
+  Shape: 30
+  Sigmoid: 25
+  Softmax: 9
+  Split: 9
+  Transpose: 6
+parameters: 10594753
+system_info:
+  Memory Info: 62.79 GB
+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
+  Processor: Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
+  Python Packages:
+  - gitpython==3.1.40
+  - jinja2==3.1.2
+  - markdown==3.5.1
+  - markupsafe==2.1.3
+  - pillow==10.1.0
+  - pynacl==1.5.0
+  - pyyaml==6.0.1
+  - pygments==2.16.1
+  - absl-py==2.0.0
+  - aiohttp==3.8.6
+  - aiosignal==1.3.1
+  - altair==5.1.2
+  - appdirs==1.4.4
+  - async-timeout==4.0.3
+  - attrs==23.1.0
+  - backports.zoneinfo==0.2.1
+  - bcrypt==4.0.1
+  - blinker==1.7.0
+  - boto3==1.28.77
+  - botocore==1.31.77
+  - cachetools==5.3.2
+  - certifi==2023.7.22
+  - cffi==1.16.0
+  - charset-normalizer==3.3.2
+  - click==8.1.7
+  - coloredlogs==15.0.1
+  - cryptography==41.0.5
+  - datasets==2.14.6
+  - diffusers==0.12.0
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+  - fsspec==2023.10.0
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+  - nltk==3.8.1
+  - numpy==1.24.4
+  - nvidia-cublas-cu12==12.1.3.1
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+  - nvidia-cusolver-cu12==11.4.5.107
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+  - nvidia-nccl-cu12==2.18.1
+  - nvidia-nvjitlink-cu12==12.3.52
+  - nvidia-nvtx-cu12==12.1.105
+  - oauthlib==3.2.2
+  - onnx==1.15.0
+  - onnxconverter-common==1.14.0
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+  - onnxruntime==1.15.1
+  - packaging==23.2
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+  - pycparser==2.21
+  - pydeck==0.8.1b0
+  - pyparsing==3.1.1
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+  - pytz==2023.3.post1
+  - referencing==0.30.2
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+  - requests==2.31.0
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+  - safetensors==0.4.0
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+  - termcolor==2.3.0
+  - threadpoolctl==3.2.0
+  - timm==0.9.8
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+  - torch-geometric==2.4.0
+  - torchaudio==2.1.0
+  - torchvision==0.16.0
+  - tornado==6.3.3
+  - tqdm==4.66.1
+  - transformers==4.35.0
+  - triton==2.1.0
+  - turnkeyml==0.2.0
+  - typeguard==4.1.5
+  - typing-extensions==4.8.0
+  - tzdata==2023.3
+  - tzlocal==5.2
+  - urllib3==1.26.18
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+  - watchdog==3.0.0
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+  - xxhash==3.4.1
+  - yacs==0.1.8
+  - yarl==1.9.2
+  - zipp==3.17.0
+task: Computer_Vision
diff --git a/Computer_Vision/mobilevitv2_150_in22ft1k_Opset16_timm/mobilevitv2_150_in22ft1k_Opset16.onnx b/Computer_Vision/mobilevitv2_150_in22ft1k_Opset16_timm/mobilevitv2_150_in22ft1k_Opset16.onnx
new file mode 100644
index 000000000..10ab3bdca
--- /dev/null
+++ b/Computer_Vision/mobilevitv2_150_in22ft1k_Opset16_timm/mobilevitv2_150_in22ft1k_Opset16.onnx
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ee3194df7f527706e4719aac9cb7d7e9ef01591840c2e5202c09af15a4e04df8
+size 42455263
diff --git a/Computer_Vision/mobilevitv2_150_in22ft1k_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/mobilevitv2_150_in22ft1k_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..7505266ef
--- /dev/null
+++ b/Computer_Vision/mobilevitv2_150_in22ft1k_Opset16_timm/turnkey_stats.yaml
@@ -0,0 +1,210 @@
+author: timm
+builds:
+  x86_ort:
+    all_build_stages:
+    - export_pytorch
+    - set_success
+    benchmark_status: successful
+    completed_build_stages:
+      export_pytorch: 1.770369529724121
+      set_success: 0.01704716682434082
+    device_type: x86
+    iterations: 100
+    onnx_file: /home/azureuser/.cache/turnkey/mobilevitv2_150_in22ft1k_timm_7dda6d84/onnx/mobilevitv2_150_in22ft1k_timm_7dda6d84-op16-base.onnx
+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/mobilevitv2_150_in22ft1k.py
+class: ByobNet
+hash: bee9b4dd
+model_name: mobilevitv2_150_in22ft1k
+onnx_input_dimensions:
+  x:
+  - 1
+  - 3
+  - 256
+  - 256
+onnx_model_information:
+  ir_version: 8
+  opset: 16
+  size on disk (KiB): 41460.25
+onnx_ops_counter:
+  Add: 40
+  Constant: 79
+  Conv: 64
+  Expand: 9
+  Flatten: 1
+  Gemm: 1
+  GlobalAveragePool: 1
+  InstanceNormalization: 21
+  Mul: 64
+  ReduceSum: 9
+  Relu: 9
+  Reshape: 54
+  Shape: 30
+  Sigmoid: 25
+  Softmax: 9
+  Split: 9
+  Transpose: 6
+parameters: 10594753
+system_info:
+  Memory Info: 62.79 GB
+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
+  Processor: Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
+  Python Packages:
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+  - jinja2==3.1.2
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+  - markupsafe==2.1.3
+  - pillow==10.1.0
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+  - attrs==23.1.0
+  - backports.zoneinfo==0.2.1
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+  - xxhash==3.4.1
+  - yacs==0.1.8
+  - yarl==1.9.2
+  - zipp==3.17.0
+task: Computer_Vision
diff --git a/Computer_Vision/mobilevitv2_150_in22ft1k_Opset17_timm/mobilevitv2_150_in22ft1k_Opset17.onnx b/Computer_Vision/mobilevitv2_150_in22ft1k_Opset17_timm/mobilevitv2_150_in22ft1k_Opset17.onnx
new file mode 100644
index 000000000..ebbc8e73b
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+++ b/Computer_Vision/mobilevitv2_150_in22ft1k_Opset17_timm/mobilevitv2_150_in22ft1k_Opset17.onnx
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+version https://git-lfs.github.com/spec/v1
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diff --git a/Computer_Vision/mobilevitv2_150_in22ft1k_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/mobilevitv2_150_in22ft1k_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..672ec4a81
--- /dev/null
+++ b/Computer_Vision/mobilevitv2_150_in22ft1k_Opset17_timm/turnkey_stats.yaml
@@ -0,0 +1,210 @@
+author: timm
+builds:
+  x86_ort:
+    all_build_stages:
+    - export_pytorch
+    - set_success
+    benchmark_status: successful
+    completed_build_stages:
+      export_pytorch: 1.8335726261138916
+      set_success: 0.01992177963256836
+    device_type: x86
+    iterations: 100
+    onnx_file: /home/azureuser/.cache/turnkey/mobilevitv2_150_in22ft1k_timm_7dda6d84/onnx/mobilevitv2_150_in22ft1k_timm_7dda6d84-op17-base.onnx
+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/mobilevitv2_150_in22ft1k.py
+class: ByobNet
+hash: bee9b4dd
+model_name: mobilevitv2_150_in22ft1k
+onnx_input_dimensions:
+  x:
+  - 1
+  - 3
+  - 256
+  - 256
+onnx_model_information:
+  ir_version: 8
+  opset: 17
+  size on disk (KiB): 41460.25
+onnx_ops_counter:
+  Add: 40
+  Constant: 79
+  Conv: 64
+  Expand: 9
+  Flatten: 1
+  Gemm: 1
+  GlobalAveragePool: 1
+  InstanceNormalization: 21
+  Mul: 64
+  ReduceSum: 9
+  Relu: 9
+  Reshape: 54
+  Shape: 30
+  Sigmoid: 25
+  Softmax: 9
+  Split: 9
+  Transpose: 6
+parameters: 10594753
+system_info:
+  Memory Info: 62.79 GB
+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
+  Processor: Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
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+  - jinja2==3.1.2
+  - markdown==3.5.1
+  - markupsafe==2.1.3
+  - pillow==10.1.0
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+  - nvidia-cuda-nvrtc-cu12==12.1.105
+  - nvidia-cuda-runtime-cu12==12.1.105
+  - nvidia-cudnn-cu12==8.9.2.26
+  - nvidia-cufft-cu12==11.0.2.54
+  - nvidia-curand-cu12==10.3.2.106
+  - nvidia-cusolver-cu12==11.4.5.107
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+  - nvidia-nvjitlink-cu12==12.3.52
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+  - pydeck==0.8.1b0
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+  - tqdm==4.66.1
+  - transformers==4.35.0
+  - triton==2.1.0
+  - turnkeyml==0.2.0
+  - typeguard==4.1.5
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+  - xxhash==3.4.1
+  - yacs==0.1.8
+  - yarl==1.9.2
+  - zipp==3.17.0
+task: Computer_Vision
diff --git a/Computer_Vision/mobilevitv2_150_in22ft1k_Opset18_timm/mobilevitv2_150_in22ft1k_Opset18.onnx b/Computer_Vision/mobilevitv2_150_in22ft1k_Opset18_timm/mobilevitv2_150_in22ft1k_Opset18.onnx
new file mode 100644
index 000000000..07acac796
--- /dev/null
+++ b/Computer_Vision/mobilevitv2_150_in22ft1k_Opset18_timm/mobilevitv2_150_in22ft1k_Opset18.onnx
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+version https://git-lfs.github.com/spec/v1
+oid sha256:a1123e72e2a232cae2e8e6b8157debb163aa25731aade0338972c3bfd657658b
+size 42455263
diff --git a/Computer_Vision/mobilevitv2_150_in22ft1k_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/mobilevitv2_150_in22ft1k_Opset18_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..32e7e6753
--- /dev/null
+++ b/Computer_Vision/mobilevitv2_150_in22ft1k_Opset18_timm/turnkey_stats.yaml
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+author: timm
+builds:
+  x86_ort:
+    all_build_stages:
+    - export_pytorch
+    - set_success
+    benchmark_status: successful
+    completed_build_stages:
+      export_pytorch: 2.0559873580932617
+      set_success: 0.024176597595214844
+    device_type: x86
+    iterations: 100
+    onnx_file: /home/azureuser/.cache/turnkey/mobilevitv2_150_in22ft1k_timm_7dda6d84/onnx/mobilevitv2_150_in22ft1k_timm_7dda6d84-op18-base.onnx
+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/mobilevitv2_150_in22ft1k.py
+class: ByobNet
+hash: bee9b4dd
+model_name: mobilevitv2_150_in22ft1k
+onnx_input_dimensions:
+  x:
+  - 1
+  - 3
+  - 256
+  - 256
+onnx_model_information:
+  ir_version: 8
+  opset: 18
+  size on disk (KiB): 41460.25
+onnx_ops_counter:
+  Add: 40
+  Constant: 79
+  Conv: 64
+  Expand: 9
+  Flatten: 1
+  Gemm: 1
+  GlobalAveragePool: 1
+  InstanceNormalization: 21
+  Mul: 64
+  ReduceSum: 9
+  Relu: 9
+  Reshape: 54
+  Shape: 30
+  Sigmoid: 25
+  Softmax: 9
+  Split: 9
+  Transpose: 6
+parameters: 10594753
+system_info:
+  Memory Info: 62.79 GB
+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
+  Processor: Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
+  Python Packages:
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+  - nvidia-cusolver-cu12==11.4.5.107
+  - nvidia-cusparse-cu12==12.1.0.106
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+  - nvidia-nvjitlink-cu12==12.3.52
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+  - onnx==1.15.0
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+  - timm==0.9.8
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+  - typeguard==4.1.5
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+  - xxhash==3.4.1
+  - yacs==0.1.8
+  - yarl==1.9.2
+  - zipp==3.17.0
+task: Computer_Vision
diff --git a/Computer_Vision/mobilevitv2_175_384_in22ft1k_Opset16_timm/mobilevitv2_175_384_in22ft1k_Opset16.onnx b/Computer_Vision/mobilevitv2_175_384_in22ft1k_Opset16_timm/mobilevitv2_175_384_in22ft1k_Opset16.onnx
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index 000000000..0833b4392
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+version https://git-lfs.github.com/spec/v1
+oid sha256:d158e1e1de0264adcb176521cd95f4d54685e137238bd74455351274026806a1
+size 57075811
diff --git a/Computer_Vision/mobilevitv2_175_384_in22ft1k_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/mobilevitv2_175_384_in22ft1k_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..221964013
--- /dev/null
+++ b/Computer_Vision/mobilevitv2_175_384_in22ft1k_Opset16_timm/turnkey_stats.yaml
@@ -0,0 +1,210 @@
+author: timm
+builds:
+  x86_ort:
+    all_build_stages:
+    - export_pytorch
+    - set_success
+    benchmark_status: successful
+    completed_build_stages:
+      export_pytorch: 1.9856901168823242
+      set_success: 0.019290924072265625
+    device_type: x86
+    iterations: 100
+    onnx_file: /home/azureuser/.cache/turnkey/mobilevitv2_175_384_in22ft1k_timm_ba50d24e/onnx/mobilevitv2_175_384_in22ft1k_timm_ba50d24e-op16-base.onnx
+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/mobilevitv2_175_384_in22ft1k.py
+class: ByobNet
+hash: ee34879e
+model_name: mobilevitv2_175_384_in22ft1k
+onnx_input_dimensions:
+  x:
+  - 1
+  - 3
+  - 384
+  - 384
+onnx_model_information:
+  ir_version: 8
+  opset: 16
+  size on disk (KiB): 55738.1289
+onnx_ops_counter:
+  Add: 40
+  Constant: 79
+  Conv: 64
+  Expand: 9
+  Flatten: 1
+  Gemm: 1
+  GlobalAveragePool: 1
+  InstanceNormalization: 21
+  Mul: 64
+  ReduceSum: 9
+  Relu: 9
+  Reshape: 54
+  Shape: 30
+  Sigmoid: 25
+  Softmax: 9
+  Split: 9
+  Transpose: 6
+parameters: 14251833
+system_info:
+  Memory Info: 62.79 GB
+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
+  Processor: Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
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+  - xxhash==3.4.1
+  - yacs==0.1.8
+  - yarl==1.9.2
+  - zipp==3.17.0
+task: Computer_Vision
diff --git a/Computer_Vision/mobilevitv2_175_384_in22ft1k_Opset17_timm/mobilevitv2_175_384_in22ft1k_Opset17.onnx b/Computer_Vision/mobilevitv2_175_384_in22ft1k_Opset17_timm/mobilevitv2_175_384_in22ft1k_Opset17.onnx
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diff --git a/Computer_Vision/mobilevitv2_175_384_in22ft1k_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/mobilevitv2_175_384_in22ft1k_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..eec541d78
--- /dev/null
+++ b/Computer_Vision/mobilevitv2_175_384_in22ft1k_Opset17_timm/turnkey_stats.yaml
@@ -0,0 +1,210 @@
+author: timm
+builds:
+  x86_ort:
+    all_build_stages:
+    - export_pytorch
+    - set_success
+    benchmark_status: successful
+    completed_build_stages:
+      export_pytorch: 2.0162432193756104
+      set_success: 0.019118070602416992
+    device_type: x86
+    iterations: 100
+    onnx_file: /home/azureuser/.cache/turnkey/mobilevitv2_175_384_in22ft1k_timm_ba50d24e/onnx/mobilevitv2_175_384_in22ft1k_timm_ba50d24e-op17-base.onnx
+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/mobilevitv2_175_384_in22ft1k.py
+class: ByobNet
+hash: ee34879e
+model_name: mobilevitv2_175_384_in22ft1k
+onnx_input_dimensions:
+  x:
+  - 1
+  - 3
+  - 384
+  - 384
+onnx_model_information:
+  ir_version: 8
+  opset: 17
+  size on disk (KiB): 55738.1289
+onnx_ops_counter:
+  Add: 40
+  Constant: 79
+  Conv: 64
+  Expand: 9
+  Flatten: 1
+  Gemm: 1
+  GlobalAveragePool: 1
+  InstanceNormalization: 21
+  Mul: 64
+  ReduceSum: 9
+  Relu: 9
+  Reshape: 54
+  Shape: 30
+  Sigmoid: 25
+  Softmax: 9
+  Split: 9
+  Transpose: 6
+parameters: 14251833
+system_info:
+  Memory Info: 62.79 GB
+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
+  Processor: Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
+  Python Packages:
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+  - jinja2==3.1.2
+  - markdown==3.5.1
+  - markupsafe==2.1.3
+  - pillow==10.1.0
+  - pynacl==1.5.0
+  - pyyaml==6.0.1
+  - pygments==2.16.1
+  - absl-py==2.0.0
+  - aiohttp==3.8.6
+  - aiosignal==1.3.1
+  - altair==5.1.2
+  - appdirs==1.4.4
+  - async-timeout==4.0.3
+  - attrs==23.1.0
+  - backports.zoneinfo==0.2.1
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+  - charset-normalizer==3.3.2
+  - click==8.1.7
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+  - xxhash==3.4.1
+  - yacs==0.1.8
+  - yarl==1.9.2
+  - zipp==3.17.0
+task: Computer_Vision
diff --git a/Computer_Vision/mobilevitv2_175_384_in22ft1k_Opset18_timm/mobilevitv2_175_384_in22ft1k_Opset18.onnx b/Computer_Vision/mobilevitv2_175_384_in22ft1k_Opset18_timm/mobilevitv2_175_384_in22ft1k_Opset18.onnx
new file mode 100644
index 000000000..b5eab61b8
--- /dev/null
+++ b/Computer_Vision/mobilevitv2_175_384_in22ft1k_Opset18_timm/mobilevitv2_175_384_in22ft1k_Opset18.onnx
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0720a9e18f38b9b00b48697376fbcb1b153b3343f167410a338499111994eabf
+size 57075811
diff --git a/Computer_Vision/mobilevitv2_175_384_in22ft1k_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/mobilevitv2_175_384_in22ft1k_Opset18_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..cec202b70
--- /dev/null
+++ b/Computer_Vision/mobilevitv2_175_384_in22ft1k_Opset18_timm/turnkey_stats.yaml
@@ -0,0 +1,210 @@
+author: timm
+builds:
+  x86_ort:
+    all_build_stages:
+    - export_pytorch
+    - set_success
+    benchmark_status: successful
+    completed_build_stages:
+      export_pytorch: 2.0699591636657715
+      set_success: 0.01901531219482422
+    device_type: x86
+    iterations: 100
+    onnx_file: /home/azureuser/.cache/turnkey/mobilevitv2_175_384_in22ft1k_timm_ba50d24e/onnx/mobilevitv2_175_384_in22ft1k_timm_ba50d24e-op18-base.onnx
+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/mobilevitv2_175_384_in22ft1k.py
+class: ByobNet
+hash: ee34879e
+model_name: mobilevitv2_175_384_in22ft1k
+onnx_input_dimensions:
+  x:
+  - 1
+  - 3
+  - 384
+  - 384
+onnx_model_information:
+  ir_version: 8
+  opset: 18
+  size on disk (KiB): 55738.1289
+onnx_ops_counter:
+  Add: 40
+  Constant: 79
+  Conv: 64
+  Expand: 9
+  Flatten: 1
+  Gemm: 1
+  GlobalAveragePool: 1
+  InstanceNormalization: 21
+  Mul: 64
+  ReduceSum: 9
+  Relu: 9
+  Reshape: 54
+  Shape: 30
+  Sigmoid: 25
+  Softmax: 9
+  Split: 9
+  Transpose: 6
+parameters: 14251833
+system_info:
+  Memory Info: 62.79 GB
+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
+  Processor: Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
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+  - yarl==1.9.2
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diff --git a/Computer_Vision/mobilevitv2_175_Opset16_timm/mobilevitv2_175_Opset16.onnx b/Computer_Vision/mobilevitv2_175_Opset16_timm/mobilevitv2_175_Opset16.onnx
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index 000000000..cb28efd18
--- /dev/null
+++ b/Computer_Vision/mobilevitv2_175_Opset16_timm/mobilevitv2_175_Opset16.onnx
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diff --git a/Computer_Vision/mobilevitv2_175_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/mobilevitv2_175_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..fef15f025
--- /dev/null
+++ b/Computer_Vision/mobilevitv2_175_Opset16_timm/turnkey_stats.yaml
@@ -0,0 +1,210 @@
+author: timm
+builds:
+  x86_ort:
+    all_build_stages:
+    - export_pytorch
+    - set_success
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+      set_success: 0.018023014068603516
+    device_type: x86
+    iterations: 100
+    onnx_file: /home/azureuser/.cache/turnkey/mobilevitv2_175_timm_a47f31d5/onnx/mobilevitv2_175_timm_a47f31d5-op16-base.onnx
+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/mobilevitv2_175.py
+class: ByobNet
+hash: ee34879e
+model_name: mobilevitv2_175
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+  x:
+  - 1
+  - 3
+  - 256
+  - 256
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+  size on disk (KiB): 55738.127
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+  Add: 40
+  Constant: 79
+  Conv: 64
+  Expand: 9
+  Flatten: 1
+  Gemm: 1
+  GlobalAveragePool: 1
+  InstanceNormalization: 21
+  Mul: 64
+  ReduceSum: 9
+  Relu: 9
+  Reshape: 54
+  Shape: 30
+  Sigmoid: 25
+  Softmax: 9
+  Split: 9
+  Transpose: 6
+parameters: 14251833
+system_info:
+  Memory Info: 62.79 GB
+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
+  Processor: Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
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+  - nvidia-cufft-cu12==11.0.2.54
+  - nvidia-curand-cu12==10.3.2.106
+  - nvidia-cusolver-cu12==11.4.5.107
+  - nvidia-cusparse-cu12==12.1.0.106
+  - nvidia-nccl-cu12==2.18.1
+  - nvidia-nvjitlink-cu12==12.3.52
+  - nvidia-nvtx-cu12==12.1.105
+  - oauthlib==3.2.2
+  - onnx==1.15.0
+  - onnxconverter-common==1.14.0
+  - onnxmltools==1.10.0
+  - onnxruntime==1.15.1
+  - packaging==23.2
+  - pandas==2.0.3
+  - paramiko==2.11.0
+  - pathtools==0.1.2
+  - pip==23.3
+  - pkgutil-resolve-name==1.3.10
+  - portalocker==2.8.2
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+  - pyarrow==14.0.0
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+  - pycparser==2.21
+  - pydeck==0.8.1b0
+  - pyparsing==3.1.1
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+  - s3transfer==0.7.0
+  - safetensors==0.4.0
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+  - skl2onnx==1.15.0
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+  - streamlit==1.28.1
+  - sympy==1.12
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+  - tenacity==8.2.3
+  - tensorboard==2.14.0
+  - tensorboard-data-server==0.7.2
+  - termcolor==2.3.0
+  - threadpoolctl==3.2.0
+  - timm==0.9.8
+  - tokenizers==0.14.1
+  - toml==0.10.2
+  - toolz==0.12.0
+  - torch==2.1.0
+  - torch-geometric==2.4.0
+  - torchaudio==2.1.0
+  - torchvision==0.16.0
+  - tornado==6.3.3
+  - tqdm==4.66.1
+  - transformers==4.35.0
+  - triton==2.1.0
+  - turnkeyml==0.2.0
+  - typeguard==4.1.5
+  - typing-extensions==4.8.0
+  - tzdata==2023.3
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+  - validators==0.22.0
+  - wandb==0.15.12
+  - watchdog==3.0.0
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+  - xxhash==3.4.1
+  - yacs==0.1.8
+  - yarl==1.9.2
+  - zipp==3.17.0
+task: Computer_Vision
diff --git a/Computer_Vision/mobilevitv2_175_Opset17_timm/mobilevitv2_175_Opset17.onnx b/Computer_Vision/mobilevitv2_175_Opset17_timm/mobilevitv2_175_Opset17.onnx
new file mode 100644
index 000000000..bfec76646
--- /dev/null
+++ b/Computer_Vision/mobilevitv2_175_Opset17_timm/mobilevitv2_175_Opset17.onnx
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7418ee138476752c9f96cc826581781848615e2ac09a12f2fbcd0f5e5bb7a2fe
+size 57075809
diff --git a/Computer_Vision/mobilevitv2_175_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/mobilevitv2_175_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..aeec49a57
--- /dev/null
+++ b/Computer_Vision/mobilevitv2_175_Opset17_timm/turnkey_stats.yaml
@@ -0,0 +1,210 @@
+author: timm
+builds:
+  x86_ort:
+    all_build_stages:
+    - export_pytorch
+    - set_success
+    benchmark_status: successful
+    completed_build_stages:
+      export_pytorch: 2.114011526107788
+      set_success: 0.01783275604248047
+    device_type: x86
+    iterations: 100
+    onnx_file: /home/azureuser/.cache/turnkey/mobilevitv2_175_timm_a47f31d5/onnx/mobilevitv2_175_timm_a47f31d5-op17-base.onnx
+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/mobilevitv2_175.py
+class: ByobNet
+hash: ee34879e
+model_name: mobilevitv2_175
+onnx_input_dimensions:
+  x:
+  - 1
+  - 3
+  - 256
+  - 256
+onnx_model_information:
+  ir_version: 8
+  opset: 17
+  size on disk (KiB): 55738.127
+onnx_ops_counter:
+  Add: 40
+  Constant: 79
+  Conv: 64
+  Expand: 9
+  Flatten: 1
+  Gemm: 1
+  GlobalAveragePool: 1
+  InstanceNormalization: 21
+  Mul: 64
+  ReduceSum: 9
+  Relu: 9
+  Reshape: 54
+  Shape: 30
+  Sigmoid: 25
+  Softmax: 9
+  Split: 9
+  Transpose: 6
+parameters: 14251833
+system_info:
+  Memory Info: 62.79 GB
+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
+  Processor: Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
+  Python Packages:
+  - gitpython==3.1.40
+  - jinja2==3.1.2
+  - markdown==3.5.1
+  - markupsafe==2.1.3
+  - pillow==10.1.0
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+  - charset-normalizer==3.3.2
+  - click==8.1.7
+  - coloredlogs==15.0.1
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+  - datasets==2.14.6
+  - diffusers==0.12.0
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+  - fsspec==2023.10.0
+  - fvcore==0.1.5.post20221221
+  - gitdb==4.0.11
+  - google-auth==2.23.4
+  - google-auth-oauthlib==1.0.0
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+  - nltk==3.8.1
+  - numpy==1.24.4
+  - nvidia-cublas-cu12==12.1.3.1
+  - nvidia-cuda-cupti-cu12==12.1.105
+  - nvidia-cuda-nvrtc-cu12==12.1.105
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+  - nvidia-cudnn-cu12==8.9.2.26
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+  - nvidia-curand-cu12==10.3.2.106
+  - nvidia-cusolver-cu12==11.4.5.107
+  - nvidia-cusparse-cu12==12.1.0.106
+  - nvidia-nccl-cu12==2.18.1
+  - nvidia-nvjitlink-cu12==12.3.52
+  - nvidia-nvtx-cu12==12.1.105
+  - oauthlib==3.2.2
+  - onnx==1.15.0
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+  - timm==0.9.8
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+  - torch-geometric==2.4.0
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+  - tornado==6.3.3
+  - tqdm==4.66.1
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+  - triton==2.1.0
+  - turnkeyml==0.2.0
+  - typeguard==4.1.5
+  - typing-extensions==4.8.0
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+  - xxhash==3.4.1
+  - yacs==0.1.8
+  - yarl==1.9.2
+  - zipp==3.17.0
+task: Computer_Vision
diff --git a/Computer_Vision/mobilevitv2_175_Opset18_timm/mobilevitv2_175_Opset18.onnx b/Computer_Vision/mobilevitv2_175_Opset18_timm/mobilevitv2_175_Opset18.onnx
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index 000000000..1150a6274
--- /dev/null
+++ b/Computer_Vision/mobilevitv2_175_Opset18_timm/mobilevitv2_175_Opset18.onnx
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+version https://git-lfs.github.com/spec/v1
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diff --git a/Computer_Vision/mobilevitv2_175_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/mobilevitv2_175_Opset18_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..f777e08da
--- /dev/null
+++ b/Computer_Vision/mobilevitv2_175_Opset18_timm/turnkey_stats.yaml
@@ -0,0 +1,210 @@
+author: timm
+builds:
+  x86_ort:
+    all_build_stages:
+    - export_pytorch
+    - set_success
+    benchmark_status: successful
+    completed_build_stages:
+      export_pytorch: 1.9858813285827637
+      set_success: 0.023998737335205078
+    device_type: x86
+    iterations: 100
+    onnx_file: /home/azureuser/.cache/turnkey/mobilevitv2_175_timm_a47f31d5/onnx/mobilevitv2_175_timm_a47f31d5-op18-base.onnx
+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/mobilevitv2_175.py
+class: ByobNet
+hash: ee34879e
+model_name: mobilevitv2_175
+onnx_input_dimensions:
+  x:
+  - 1
+  - 3
+  - 256
+  - 256
+onnx_model_information:
+  ir_version: 8
+  opset: 18
+  size on disk (KiB): 55738.127
+onnx_ops_counter:
+  Add: 40
+  Constant: 79
+  Conv: 64
+  Expand: 9
+  Flatten: 1
+  Gemm: 1
+  GlobalAveragePool: 1
+  InstanceNormalization: 21
+  Mul: 64
+  ReduceSum: 9
+  Relu: 9
+  Reshape: 54
+  Shape: 30
+  Sigmoid: 25
+  Softmax: 9
+  Split: 9
+  Transpose: 6
+parameters: 14251833
+system_info:
+  Memory Info: 62.79 GB
+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
+  Processor: Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
+  Python Packages:
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+  - jinja2==3.1.2
+  - markdown==3.5.1
+  - markupsafe==2.1.3
+  - pillow==10.1.0
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+  - nvidia-cusolver-cu12==11.4.5.107
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+  - xxhash==3.4.1
+  - yacs==0.1.8
+  - yarl==1.9.2
+  - zipp==3.17.0
+task: Computer_Vision
diff --git a/Computer_Vision/mobilevitv2_175_in22ft1k_Opset16_timm/mobilevitv2_175_in22ft1k_Opset16.onnx b/Computer_Vision/mobilevitv2_175_in22ft1k_Opset16_timm/mobilevitv2_175_in22ft1k_Opset16.onnx
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index 000000000..fc1120234
--- /dev/null
+++ b/Computer_Vision/mobilevitv2_175_in22ft1k_Opset16_timm/mobilevitv2_175_in22ft1k_Opset16.onnx
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
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diff --git a/Computer_Vision/mobilevitv2_175_in22ft1k_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/mobilevitv2_175_in22ft1k_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..d17f6f4a1
--- /dev/null
+++ b/Computer_Vision/mobilevitv2_175_in22ft1k_Opset16_timm/turnkey_stats.yaml
@@ -0,0 +1,210 @@
+author: timm
+builds:
+  x86_ort:
+    all_build_stages:
+    - export_pytorch
+    - set_success
+    benchmark_status: successful
+    completed_build_stages:
+      export_pytorch: 2.2338407039642334
+      set_success: 0.02095961570739746
+    device_type: x86
+    iterations: 100
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+hash: ee34879e
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+  - 1
+  - 3
+  - 256
+  - 256
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+  size on disk (KiB): 55738.127
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+  Add: 40
+  Constant: 79
+  Conv: 64
+  Expand: 9
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+  InstanceNormalization: 21
+  Mul: 64
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+  Relu: 9
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+  Shape: 30
+  Sigmoid: 25
+  Softmax: 9
+  Split: 9
+  Transpose: 6
+parameters: 14251833
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+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
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+  - xxhash==3.4.1
+  - yacs==0.1.8
+  - yarl==1.9.2
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+task: Computer_Vision
diff --git a/Computer_Vision/mobilevitv2_175_in22ft1k_Opset17_timm/mobilevitv2_175_in22ft1k_Opset17.onnx b/Computer_Vision/mobilevitv2_175_in22ft1k_Opset17_timm/mobilevitv2_175_in22ft1k_Opset17.onnx
new file mode 100644
index 000000000..2c19e5dcf
--- /dev/null
+++ b/Computer_Vision/mobilevitv2_175_in22ft1k_Opset17_timm/mobilevitv2_175_in22ft1k_Opset17.onnx
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0bd01dca9ce228f38dc4f9149fb22a295bd76cb445ed4169519a87b337d9b73f
+size 57075809
diff --git a/Computer_Vision/mobilevitv2_175_in22ft1k_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/mobilevitv2_175_in22ft1k_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..f62020a13
--- /dev/null
+++ b/Computer_Vision/mobilevitv2_175_in22ft1k_Opset17_timm/turnkey_stats.yaml
@@ -0,0 +1,210 @@
+author: timm
+builds:
+  x86_ort:
+    all_build_stages:
+    - export_pytorch
+    - set_success
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+      set_success: 0.020301342010498047
+    device_type: x86
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/mobilevitv2_175_in22ft1k.py
+class: ByobNet
+hash: ee34879e
+model_name: mobilevitv2_175_in22ft1k
+onnx_input_dimensions:
+  x:
+  - 1
+  - 3
+  - 256
+  - 256
+onnx_model_information:
+  ir_version: 8
+  opset: 17
+  size on disk (KiB): 55738.127
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+  Add: 40
+  Constant: 79
+  Conv: 64
+  Expand: 9
+  Flatten: 1
+  Gemm: 1
+  GlobalAveragePool: 1
+  InstanceNormalization: 21
+  Mul: 64
+  ReduceSum: 9
+  Relu: 9
+  Reshape: 54
+  Shape: 30
+  Sigmoid: 25
+  Softmax: 9
+  Split: 9
+  Transpose: 6
+parameters: 14251833
+system_info:
+  Memory Info: 62.79 GB
+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
+  Processor: Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
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+task: Computer_Vision
diff --git a/Computer_Vision/mobilevitv2_175_in22ft1k_Opset18_timm/mobilevitv2_175_in22ft1k_Opset18.onnx b/Computer_Vision/mobilevitv2_175_in22ft1k_Opset18_timm/mobilevitv2_175_in22ft1k_Opset18.onnx
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diff --git a/Computer_Vision/mobilevitv2_175_in22ft1k_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/mobilevitv2_175_in22ft1k_Opset18_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..667feaba7
--- /dev/null
+++ b/Computer_Vision/mobilevitv2_175_in22ft1k_Opset18_timm/turnkey_stats.yaml
@@ -0,0 +1,210 @@
+author: timm
+builds:
+  x86_ort:
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+    - export_pytorch
+    - set_success
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+      set_success: 0.023546218872070312
+    device_type: x86
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/mobilevitv2_175_in22ft1k.py
+class: ByobNet
+hash: ee34879e
+model_name: mobilevitv2_175_in22ft1k
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+  x:
+  - 1
+  - 3
+  - 256
+  - 256
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+  opset: 18
+  size on disk (KiB): 55738.127
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+  Constant: 79
+  Conv: 64
+  Expand: 9
+  Flatten: 1
+  Gemm: 1
+  GlobalAveragePool: 1
+  InstanceNormalization: 21
+  Mul: 64
+  ReduceSum: 9
+  Relu: 9
+  Reshape: 54
+  Shape: 30
+  Sigmoid: 25
+  Softmax: 9
+  Split: 9
+  Transpose: 6
+parameters: 14251833
+system_info:
+  Memory Info: 62.79 GB
+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
+  Processor: Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
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+  - xxhash==3.4.1
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+  - yarl==1.9.2
+  - zipp==3.17.0
+task: Computer_Vision
diff --git a/Computer_Vision/mobilevitv2_200_384_in22ft1k_Opset16_timm/mobilevitv2_200_384_in22ft1k_Opset16.onnx b/Computer_Vision/mobilevitv2_200_384_in22ft1k_Opset16_timm/mobilevitv2_200_384_in22ft1k_Opset16.onnx
new file mode 100644
index 000000000..0a0c4e04f
--- /dev/null
+++ b/Computer_Vision/mobilevitv2_200_384_in22ft1k_Opset16_timm/mobilevitv2_200_384_in22ft1k_Opset16.onnx
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diff --git a/Computer_Vision/mobilevitv2_200_384_in22ft1k_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/mobilevitv2_200_384_in22ft1k_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..25f0d5d01
--- /dev/null
+++ b/Computer_Vision/mobilevitv2_200_384_in22ft1k_Opset16_timm/turnkey_stats.yaml
@@ -0,0 +1,210 @@
+author: timm
+builds:
+  x86_ort:
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+      set_success: 0.020198583602905273
+    device_type: x86
+    iterations: 100
+    onnx_file: /home/azureuser/.cache/turnkey/mobilevitv2_200_384_in22ft1k_timm_1d3d8dc4/onnx/mobilevitv2_200_384_in22ft1k_timm_1d3d8dc4-op16-base.onnx
+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/mobilevitv2_200_384_in22ft1k.py
+class: ByobNet
+hash: 5d5907f2
+model_name: mobilevitv2_200_384_in22ft1k
+onnx_input_dimensions:
+  x:
+  - 1
+  - 3
+  - 384
+  - 384
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+  opset: 16
+  size on disk (KiB): 72127.042
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+  Add: 40
+  Constant: 79
+  Conv: 64
+  Expand: 9
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+  Gemm: 1
+  GlobalAveragePool: 1
+  InstanceNormalization: 21
+  Mul: 64
+  ReduceSum: 9
+  Relu: 9
+  Reshape: 54
+  Shape: 30
+  Sigmoid: 25
+  Softmax: 9
+  Split: 9
+  Transpose: 6
+parameters: 18449329
+system_info:
+  Memory Info: 62.79 GB
+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
+  Processor: Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
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+  - yacs==0.1.8
+  - yarl==1.9.2
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+task: Computer_Vision
diff --git a/Computer_Vision/mobilevitv2_200_384_in22ft1k_Opset17_timm/mobilevitv2_200_384_in22ft1k_Opset17.onnx b/Computer_Vision/mobilevitv2_200_384_in22ft1k_Opset17_timm/mobilevitv2_200_384_in22ft1k_Opset17.onnx
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diff --git a/Computer_Vision/mobilevitv2_200_384_in22ft1k_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/mobilevitv2_200_384_in22ft1k_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..67e02fc3e
--- /dev/null
+++ b/Computer_Vision/mobilevitv2_200_384_in22ft1k_Opset17_timm/turnkey_stats.yaml
@@ -0,0 +1,210 @@
+author: timm
+builds:
+  x86_ort:
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+      set_success: 0.020781278610229492
+    device_type: x86
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+    onnx_file: /home/azureuser/.cache/turnkey/mobilevitv2_200_384_in22ft1k_timm_1d3d8dc4/onnx/mobilevitv2_200_384_in22ft1k_timm_1d3d8dc4-op17-base.onnx
+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/mobilevitv2_200_384_in22ft1k.py
+class: ByobNet
+hash: 5d5907f2
+model_name: mobilevitv2_200_384_in22ft1k
+onnx_input_dimensions:
+  x:
+  - 1
+  - 3
+  - 384
+  - 384
+onnx_model_information:
+  ir_version: 8
+  opset: 17
+  size on disk (KiB): 72127.042
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+  Add: 40
+  Constant: 79
+  Conv: 64
+  Expand: 9
+  Flatten: 1
+  Gemm: 1
+  GlobalAveragePool: 1
+  InstanceNormalization: 21
+  Mul: 64
+  ReduceSum: 9
+  Relu: 9
+  Reshape: 54
+  Shape: 30
+  Sigmoid: 25
+  Softmax: 9
+  Split: 9
+  Transpose: 6
+parameters: 18449329
+system_info:
+  Memory Info: 62.79 GB
+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
+  Processor: Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
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diff --git a/Computer_Vision/mobilevitv2_200_384_in22ft1k_Opset18_timm/mobilevitv2_200_384_in22ft1k_Opset18.onnx b/Computer_Vision/mobilevitv2_200_384_in22ft1k_Opset18_timm/mobilevitv2_200_384_in22ft1k_Opset18.onnx
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diff --git a/Computer_Vision/mobilevitv2_200_384_in22ft1k_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/mobilevitv2_200_384_in22ft1k_Opset18_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..7e5ebb5c6
--- /dev/null
+++ b/Computer_Vision/mobilevitv2_200_384_in22ft1k_Opset18_timm/turnkey_stats.yaml
@@ -0,0 +1,210 @@
+author: timm
+builds:
+  x86_ort:
+    all_build_stages:
+    - export_pytorch
+    - set_success
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+    device_type: x86
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/mobilevitv2_200_384_in22ft1k.py
+class: ByobNet
+hash: 5d5907f2
+model_name: mobilevitv2_200_384_in22ft1k
+onnx_input_dimensions:
+  x:
+  - 1
+  - 3
+  - 384
+  - 384
+onnx_model_information:
+  ir_version: 8
+  opset: 18
+  size on disk (KiB): 72127.042
+onnx_ops_counter:
+  Add: 40
+  Constant: 79
+  Conv: 64
+  Expand: 9
+  Flatten: 1
+  Gemm: 1
+  GlobalAveragePool: 1
+  InstanceNormalization: 21
+  Mul: 64
+  ReduceSum: 9
+  Relu: 9
+  Reshape: 54
+  Shape: 30
+  Sigmoid: 25
+  Softmax: 9
+  Split: 9
+  Transpose: 6
+parameters: 18449329
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+  Memory Info: 62.79 GB
+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
+  Processor: Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
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+  - nltk==3.8.1
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+  - nvidia-cudnn-cu12==8.9.2.26
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+  - nvidia-cusparse-cu12==12.1.0.106
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+  - xxhash==3.4.1
+  - yacs==0.1.8
+  - yarl==1.9.2
+  - zipp==3.17.0
+task: Computer_Vision
diff --git a/Computer_Vision/mobilevitv2_200_Opset16_timm/mobilevitv2_200_Opset16.onnx b/Computer_Vision/mobilevitv2_200_Opset16_timm/mobilevitv2_200_Opset16.onnx
new file mode 100644
index 000000000..a9dea8ac9
--- /dev/null
+++ b/Computer_Vision/mobilevitv2_200_Opset16_timm/mobilevitv2_200_Opset16.onnx
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:70eb0624b724ca8b9cc774a04e5da8641e88c5e853e68a4b67e4d774b31917ad
+size 73858056
diff --git a/Computer_Vision/mobilevitv2_200_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/mobilevitv2_200_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..713022ed5
--- /dev/null
+++ b/Computer_Vision/mobilevitv2_200_Opset16_timm/turnkey_stats.yaml
@@ -0,0 +1,210 @@
+author: timm
+builds:
+  x86_ort:
+    all_build_stages:
+    - export_pytorch
+    - set_success
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+      set_success: 0.01910543441772461
+    device_type: x86
+    iterations: 100
+    onnx_file: /home/azureuser/.cache/turnkey/mobilevitv2_200_timm_fc1b3f5c/onnx/mobilevitv2_200_timm_fc1b3f5c-op16-base.onnx
+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/mobilevitv2_200.py
+class: ByobNet
+hash: 5d5907f2
+model_name: mobilevitv2_200
+onnx_input_dimensions:
+  x:
+  - 1
+  - 3
+  - 256
+  - 256
+onnx_model_information:
+  ir_version: 8
+  opset: 16
+  size on disk (KiB): 72127.04
+onnx_ops_counter:
+  Add: 40
+  Constant: 79
+  Conv: 64
+  Expand: 9
+  Flatten: 1
+  Gemm: 1
+  GlobalAveragePool: 1
+  InstanceNormalization: 21
+  Mul: 64
+  ReduceSum: 9
+  Relu: 9
+  Reshape: 54
+  Shape: 30
+  Sigmoid: 25
+  Softmax: 9
+  Split: 9
+  Transpose: 6
+parameters: 18449329
+system_info:
+  Memory Info: 62.79 GB
+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
+  Processor: Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
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+  - jinja2==3.1.2
+  - markdown==3.5.1
+  - markupsafe==2.1.3
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+  - xxhash==3.4.1
+  - yacs==0.1.8
+  - yarl==1.9.2
+  - zipp==3.17.0
+task: Computer_Vision
diff --git a/Computer_Vision/mobilevitv2_200_Opset17_timm/mobilevitv2_200_Opset17.onnx b/Computer_Vision/mobilevitv2_200_Opset17_timm/mobilevitv2_200_Opset17.onnx
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index 000000000..bd0c59cd9
--- /dev/null
+++ b/Computer_Vision/mobilevitv2_200_Opset17_timm/mobilevitv2_200_Opset17.onnx
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+version https://git-lfs.github.com/spec/v1
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diff --git a/Computer_Vision/mobilevitv2_200_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/mobilevitv2_200_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..8745860d0
--- /dev/null
+++ b/Computer_Vision/mobilevitv2_200_Opset17_timm/turnkey_stats.yaml
@@ -0,0 +1,210 @@
+author: timm
+builds:
+  x86_ort:
+    all_build_stages:
+    - export_pytorch
+    - set_success
+    benchmark_status: successful
+    completed_build_stages:
+      export_pytorch: 2.1267056465148926
+      set_success: 0.020184755325317383
+    device_type: x86
+    iterations: 100
+    onnx_file: /home/azureuser/.cache/turnkey/mobilevitv2_200_timm_fc1b3f5c/onnx/mobilevitv2_200_timm_fc1b3f5c-op17-base.onnx
+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/mobilevitv2_200.py
+class: ByobNet
+hash: 5d5907f2
+model_name: mobilevitv2_200
+onnx_input_dimensions:
+  x:
+  - 1
+  - 3
+  - 256
+  - 256
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+  ir_version: 8
+  opset: 17
+  size on disk (KiB): 72127.04
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+  Add: 40
+  Constant: 79
+  Conv: 64
+  Expand: 9
+  Flatten: 1
+  Gemm: 1
+  GlobalAveragePool: 1
+  InstanceNormalization: 21
+  Mul: 64
+  ReduceSum: 9
+  Relu: 9
+  Reshape: 54
+  Shape: 30
+  Sigmoid: 25
+  Softmax: 9
+  Split: 9
+  Transpose: 6
+parameters: 18449329
+system_info:
+  Memory Info: 62.79 GB
+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
+  Processor: Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
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+  - nvidia-cusolver-cu12==11.4.5.107
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+  - pydeck==0.8.1b0
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+  - s3transfer==0.7.0
+  - safetensors==0.4.0
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+  - timm==0.9.8
+  - tokenizers==0.14.1
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+  - toolz==0.12.0
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+  - torch-geometric==2.4.0
+  - torchaudio==2.1.0
+  - torchvision==0.16.0
+  - tornado==6.3.3
+  - tqdm==4.66.1
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+  - triton==2.1.0
+  - turnkeyml==0.2.0
+  - typeguard==4.1.5
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+  - xxhash==3.4.1
+  - yacs==0.1.8
+  - yarl==1.9.2
+  - zipp==3.17.0
+task: Computer_Vision
diff --git a/Computer_Vision/mobilevitv2_200_Opset18_timm/mobilevitv2_200_Opset18.onnx b/Computer_Vision/mobilevitv2_200_Opset18_timm/mobilevitv2_200_Opset18.onnx
new file mode 100644
index 000000000..34e48efad
--- /dev/null
+++ b/Computer_Vision/mobilevitv2_200_Opset18_timm/mobilevitv2_200_Opset18.onnx
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
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+size 73858056
diff --git a/Computer_Vision/mobilevitv2_200_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/mobilevitv2_200_Opset18_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..ef08adf9f
--- /dev/null
+++ b/Computer_Vision/mobilevitv2_200_Opset18_timm/turnkey_stats.yaml
@@ -0,0 +1,210 @@
+author: timm
+builds:
+  x86_ort:
+    all_build_stages:
+    - export_pytorch
+    - set_success
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+      export_pytorch: 2.134779453277588
+      set_success: 0.020437002182006836
+    device_type: x86
+    iterations: 100
+    onnx_file: /home/azureuser/.cache/turnkey/mobilevitv2_200_timm_fc1b3f5c/onnx/mobilevitv2_200_timm_fc1b3f5c-op18-base.onnx
+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/mobilevitv2_200.py
+class: ByobNet
+hash: 5d5907f2
+model_name: mobilevitv2_200
+onnx_input_dimensions:
+  x:
+  - 1
+  - 3
+  - 256
+  - 256
+onnx_model_information:
+  ir_version: 8
+  opset: 18
+  size on disk (KiB): 72127.04
+onnx_ops_counter:
+  Add: 40
+  Constant: 79
+  Conv: 64
+  Expand: 9
+  Flatten: 1
+  Gemm: 1
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+  InstanceNormalization: 21
+  Mul: 64
+  ReduceSum: 9
+  Relu: 9
+  Reshape: 54
+  Shape: 30
+  Sigmoid: 25
+  Softmax: 9
+  Split: 9
+  Transpose: 6
+parameters: 18449329
+system_info:
+  Memory Info: 62.79 GB
+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
+  Processor: Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
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+  - markdown==3.5.1
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+  - timm==0.9.8
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+  - typeguard==4.1.5
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+  - xxhash==3.4.1
+  - yacs==0.1.8
+  - yarl==1.9.2
+  - zipp==3.17.0
+task: Computer_Vision
diff --git a/Computer_Vision/mobilevitv2_200_in22ft1k_Opset16_timm/mobilevitv2_200_in22ft1k_Opset16.onnx b/Computer_Vision/mobilevitv2_200_in22ft1k_Opset16_timm/mobilevitv2_200_in22ft1k_Opset16.onnx
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index 000000000..f6e6809bc
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+++ b/Computer_Vision/mobilevitv2_200_in22ft1k_Opset16_timm/mobilevitv2_200_in22ft1k_Opset16.onnx
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+version https://git-lfs.github.com/spec/v1
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diff --git a/Computer_Vision/mobilevitv2_200_in22ft1k_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/mobilevitv2_200_in22ft1k_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..e7ff81021
--- /dev/null
+++ b/Computer_Vision/mobilevitv2_200_in22ft1k_Opset16_timm/turnkey_stats.yaml
@@ -0,0 +1,210 @@
+author: timm
+builds:
+  x86_ort:
+    all_build_stages:
+    - export_pytorch
+    - set_success
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+    completed_build_stages:
+      export_pytorch: 2.1323530673980713
+      set_success: 0.017338991165161133
+    device_type: x86
+    iterations: 100
+    onnx_file: /home/azureuser/.cache/turnkey/mobilevitv2_200_in22ft1k_timm_fc1b3f5c/onnx/mobilevitv2_200_in22ft1k_timm_fc1b3f5c-op16-base.onnx
+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/mobilevitv2_200_in22ft1k.py
+class: ByobNet
+hash: 5d5907f2
+model_name: mobilevitv2_200_in22ft1k
+onnx_input_dimensions:
+  x:
+  - 1
+  - 3
+  - 256
+  - 256
+onnx_model_information:
+  ir_version: 8
+  opset: 16
+  size on disk (KiB): 72127.04
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+  Add: 40
+  Constant: 79
+  Conv: 64
+  Expand: 9
+  Flatten: 1
+  Gemm: 1
+  GlobalAveragePool: 1
+  InstanceNormalization: 21
+  Mul: 64
+  ReduceSum: 9
+  Relu: 9
+  Reshape: 54
+  Shape: 30
+  Sigmoid: 25
+  Softmax: 9
+  Split: 9
+  Transpose: 6
+parameters: 18449329
+system_info:
+  Memory Info: 62.79 GB
+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
+  Processor: Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
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+  - xxhash==3.4.1
+  - yacs==0.1.8
+  - yarl==1.9.2
+  - zipp==3.17.0
+task: Computer_Vision
diff --git a/Computer_Vision/mobilevitv2_200_in22ft1k_Opset17_timm/mobilevitv2_200_in22ft1k_Opset17.onnx b/Computer_Vision/mobilevitv2_200_in22ft1k_Opset17_timm/mobilevitv2_200_in22ft1k_Opset17.onnx
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index 000000000..0aa510dcc
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+++ b/Computer_Vision/mobilevitv2_200_in22ft1k_Opset17_timm/mobilevitv2_200_in22ft1k_Opset17.onnx
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+version https://git-lfs.github.com/spec/v1
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diff --git a/Computer_Vision/mobilevitv2_200_in22ft1k_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/mobilevitv2_200_in22ft1k_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..f13fb1017
--- /dev/null
+++ b/Computer_Vision/mobilevitv2_200_in22ft1k_Opset17_timm/turnkey_stats.yaml
@@ -0,0 +1,210 @@
+author: timm
+builds:
+  x86_ort:
+    all_build_stages:
+    - export_pytorch
+    - set_success
+    benchmark_status: successful
+    completed_build_stages:
+      export_pytorch: 2.15628719329834
+      set_success: 0.019659757614135742
+    device_type: x86
+    iterations: 100
+    onnx_file: /home/azureuser/.cache/turnkey/mobilevitv2_200_in22ft1k_timm_fc1b3f5c/onnx/mobilevitv2_200_in22ft1k_timm_fc1b3f5c-op17-base.onnx
+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/mobilevitv2_200_in22ft1k.py
+class: ByobNet
+hash: 5d5907f2
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+  - 256
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diff --git a/Computer_Vision/mobilevitv2_200_in22ft1k_Opset18_timm/mobilevitv2_200_in22ft1k_Opset18.onnx b/Computer_Vision/mobilevitv2_200_in22ft1k_Opset18_timm/mobilevitv2_200_in22ft1k_Opset18.onnx
new file mode 100644
index 000000000..5656af3eb
--- /dev/null
+++ b/Computer_Vision/mobilevitv2_200_in22ft1k_Opset18_timm/mobilevitv2_200_in22ft1k_Opset18.onnx
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+version https://git-lfs.github.com/spec/v1
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diff --git a/Computer_Vision/mobilevitv2_200_in22ft1k_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/mobilevitv2_200_in22ft1k_Opset18_timm/turnkey_stats.yaml
new file mode 100644
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--- /dev/null
+++ b/Computer_Vision/mobilevitv2_200_in22ft1k_Opset18_timm/turnkey_stats.yaml
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+author: timm
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+    runtime: ort
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+class: ByobNet
+hash: 5d5907f2
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+  x:
+  - 1
+  - 3
+  - 256
+  - 256
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+  Relu: 9
+  Reshape: 54
+  Shape: 30
+  Sigmoid: 25
+  Softmax: 9
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+  Transpose: 6
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+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
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index 000000000..42e9443f6
--- /dev/null
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+author: timm
+builds:
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+  Sub: 128
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+  OEM System: Virtual Machine
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new file mode 100644
index 000000000..da0881f93
--- /dev/null
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new file mode 100644
index 000000000..bbfdd73b7
--- /dev/null
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index 000000000..e54f47017
--- /dev/null
+++ b/Computer_Vision/nasnetalarge_Opset18_timm/turnkey_stats.yaml
@@ -0,0 +1,218 @@
+author: timm
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diff --git a/Computer_Vision/nf_regnet_b1_Opset16_timm/nf_regnet_b1_Opset16.onnx b/Computer_Vision/nf_regnet_b1_Opset16_timm/nf_regnet_b1_Opset16.onnx
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diff --git a/Computer_Vision/nf_regnet_b1_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/nf_regnet_b1_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..695448095
--- /dev/null
+++ b/Computer_Vision/nf_regnet_b1_Opset16_timm/turnkey_stats.yaml
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diff --git a/Computer_Vision/nf_regnet_b1_Opset17_timm/nf_regnet_b1_Opset17.onnx b/Computer_Vision/nf_regnet_b1_Opset17_timm/nf_regnet_b1_Opset17.onnx
new file mode 100644
index 000000000..8ca8ba769
--- /dev/null
+++ b/Computer_Vision/nf_regnet_b1_Opset17_timm/nf_regnet_b1_Opset17.onnx
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
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diff --git a/Computer_Vision/nf_regnet_b1_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/nf_regnet_b1_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..7470558d0
--- /dev/null
+++ b/Computer_Vision/nf_regnet_b1_Opset17_timm/turnkey_stats.yaml
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+author: timm
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/nf_regnet_b1.py
+class: NormFreeNet
+hash: f804c414
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+  - 256
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+  ReduceMean: 218
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diff --git a/Computer_Vision/nf_resnet50_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/nf_resnet50_Opset16_timm/turnkey_stats.yaml
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index 000000000..c6813979a
--- /dev/null
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+author: timm
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+    runtime: ort
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--- /dev/null
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index 000000000..3b6c8ae71
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index 000000000..950a54605
--- /dev/null
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diff --git a/Computer_Vision/pit_b_224_Opset16_timm/pit_b_224_Opset16.onnx b/Computer_Vision/pit_b_224_Opset16_timm/pit_b_224_Opset16.onnx
new file mode 100644
index 000000000..651fdb5a0
--- /dev/null
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diff --git a/Computer_Vision/pit_b_224_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/pit_b_224_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..433673d55
--- /dev/null
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index 000000000..16f46e962
--- /dev/null
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--- /dev/null
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index 000000000..def9ede95
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diff --git a/Computer_Vision/pit_s_distilled_224_Opset17_timm/pit_s_distilled_224_Opset17.onnx b/Computer_Vision/pit_s_distilled_224_Opset17_timm/pit_s_distilled_224_Opset17.onnx
new file mode 100644
index 000000000..5a7b87393
--- /dev/null
+++ b/Computer_Vision/pit_s_distilled_224_Opset17_timm/pit_s_distilled_224_Opset17.onnx
@@ -0,0 +1,3 @@
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diff --git a/Computer_Vision/pit_s_distilled_224_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/pit_s_distilled_224_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..cae376f79
--- /dev/null
+++ b/Computer_Vision/pit_s_distilled_224_Opset17_timm/turnkey_stats.yaml
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+    runtime: ort
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+  - 224
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diff --git a/Computer_Vision/pit_s_distilled_224_Opset18_timm/pit_s_distilled_224_Opset18.onnx b/Computer_Vision/pit_s_distilled_224_Opset18_timm/pit_s_distilled_224_Opset18.onnx
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diff --git a/Computer_Vision/pit_s_distilled_224_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/pit_s_distilled_224_Opset18_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..437c7ce72
--- /dev/null
+++ b/Computer_Vision/pit_s_distilled_224_Opset18_timm/turnkey_stats.yaml
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+author: timm
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+  - 224
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index 000000000..ad2bad124
--- /dev/null
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index 000000000..90b5d8140
--- /dev/null
+++ b/Computer_Vision/pit_ti_224_Opset18_timm/turnkey_stats.yaml
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diff --git a/Computer_Vision/pit_ti_distilled_224_Opset16_timm/pit_ti_distilled_224_Opset16.onnx b/Computer_Vision/pit_ti_distilled_224_Opset16_timm/pit_ti_distilled_224_Opset16.onnx
new file mode 100644
index 000000000..6ce8b2c4b
--- /dev/null
+++ b/Computer_Vision/pit_ti_distilled_224_Opset16_timm/pit_ti_distilled_224_Opset16.onnx
@@ -0,0 +1,3 @@
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+size 20635149
diff --git a/Computer_Vision/pit_ti_distilled_224_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/pit_ti_distilled_224_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..d8b5b16a4
--- /dev/null
+++ b/Computer_Vision/pit_ti_distilled_224_Opset16_timm/turnkey_stats.yaml
@@ -0,0 +1,219 @@
+author: timm
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+    runtime: ort
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+hash: 51ea49af
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+  - 224
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diff --git a/Computer_Vision/pit_ti_distilled_224_Opset17_timm/pit_ti_distilled_224_Opset17.onnx b/Computer_Vision/pit_ti_distilled_224_Opset17_timm/pit_ti_distilled_224_Opset17.onnx
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--- /dev/null
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diff --git a/Computer_Vision/pit_ti_distilled_224_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/pit_ti_distilled_224_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..e716f8b54
--- /dev/null
+++ b/Computer_Vision/pit_ti_distilled_224_Opset17_timm/turnkey_stats.yaml
@@ -0,0 +1,217 @@
+author: timm
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+    runtime: ort
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+hash: 51ea49af
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+  - 224
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diff --git a/Computer_Vision/pit_xs_224_Opset18_timm/pit_xs_224_Opset18.onnx b/Computer_Vision/pit_xs_224_Opset18_timm/pit_xs_224_Opset18.onnx
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index 000000000..3e1ae4d2f
--- /dev/null
+++ b/Computer_Vision/pit_xs_224_Opset18_timm/pit_xs_224_Opset18.onnx
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diff --git a/Computer_Vision/pit_xs_224_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/pit_xs_224_Opset18_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..c1a13b20b
--- /dev/null
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diff --git a/Computer_Vision/pit_xs_distilled_224_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/pit_xs_distilled_224_Opset16_timm/turnkey_stats.yaml
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index 000000000..1f43bcd81
--- /dev/null
+++ b/Computer_Vision/pit_xs_distilled_224_Opset16_timm/turnkey_stats.yaml
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+author: timm
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diff --git a/Computer_Vision/pit_xs_distilled_224_Opset17_timm/pit_xs_distilled_224_Opset17.onnx b/Computer_Vision/pit_xs_distilled_224_Opset17_timm/pit_xs_distilled_224_Opset17.onnx
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+  - xxhash==3.4.1
+  - yacs==0.1.8
+  - yarl==1.9.2
+  - zipp==3.17.0
+task: Computer_Vision
diff --git a/Computer_Vision/pnasnet5large_Opset17_timm/pnasnet5large_Opset17.onnx b/Computer_Vision/pnasnet5large_Opset17_timm/pnasnet5large_Opset17.onnx
new file mode 100644
index 000000000..7f460b77e
--- /dev/null
+++ b/Computer_Vision/pnasnet5large_Opset17_timm/pnasnet5large_Opset17.onnx
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
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+size 344597959
diff --git a/Computer_Vision/pnasnet5large_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/pnasnet5large_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..7c0df71df
--- /dev/null
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+author: timm
+builds:
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+      set_success: 0.03891944885253906
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/pnasnet5large.py
+class: PNASNet5Large
+hash: d78405b4
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+  - 1
+  - 3
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+  - 331
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+  Add: 198
+  AveragePool: 8
+  BatchNormalization: 4
+  Cast: 258
+  Ceil: 32
+  Clip: 64
+  Concat: 118
+  Constant: 974
+  ConstantOfShape: 36
+  Conv: 373
+  Div: 84
+  Flatten: 1
+  Gather: 52
+  Gemm: 1
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+  MaxPool: 28
+  Mul: 32
+  Pad: 36
+  Relu: 140
+  Reshape: 72
+  Shape: 52
+  Slice: 36
+  Sub: 192
+  Transpose: 36
+  Unsqueeze: 256
+parameters: 86057668
+system_info:
+  Memory Info: 62.79 GB
+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
+  Processor: Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
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+task: Computer_Vision
diff --git a/Computer_Vision/pnasnet5large_Opset18_timm/pnasnet5large_Opset18.onnx b/Computer_Vision/pnasnet5large_Opset18_timm/pnasnet5large_Opset18.onnx
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index 000000000..67aed54db
--- /dev/null
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+version https://git-lfs.github.com/spec/v1
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diff --git a/Computer_Vision/pnasnet5large_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/pnasnet5large_Opset18_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..faa251be0
--- /dev/null
+++ b/Computer_Vision/pnasnet5large_Opset18_timm/turnkey_stats.yaml
@@ -0,0 +1,218 @@
+author: timm
+builds:
+  x86_ort:
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+    - set_success
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+      set_success: 0.04585123062133789
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+    onnx_file: /home/azureuser/.cache/turnkey/pnasnet5large_timm_178e0bde/onnx/pnasnet5large_timm_178e0bde-op18-base.onnx
+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/pnasnet5large.py
+class: PNASNet5Large
+hash: d78405b4
+model_name: pnasnet5large
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+  - 1
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+  - 331
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+  AveragePool: 8
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+  Ceil: 32
+  Clip: 64
+  Concat: 118
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+  Gemm: 1
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+  Pad: 36
+  Relu: 140
+  Reshape: 72
+  Shape: 52
+  Slice: 36
+  Sub: 192
+  Transpose: 36
+  Unsqueeze: 256
+parameters: 86057668
+system_info:
+  Memory Info: 62.79 GB
+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
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diff --git a/Computer_Vision/poolformer_m36_Opset16_timm/poolformer_m36_Opset16.onnx b/Computer_Vision/poolformer_m36_Opset16_timm/poolformer_m36_Opset16.onnx
new file mode 100644
index 000000000..def2d8bcb
--- /dev/null
+++ b/Computer_Vision/poolformer_m36_Opset16_timm/poolformer_m36_Opset16.onnx
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diff --git a/Computer_Vision/poolformer_s12_Opset16_timm/poolformer_s12_Opset16.onnx b/Computer_Vision/poolformer_s12_Opset16_timm/poolformer_s12_Opset16.onnx
new file mode 100644
index 000000000..47a8924ed
--- /dev/null
+++ b/Computer_Vision/poolformer_s12_Opset16_timm/poolformer_s12_Opset16.onnx
@@ -0,0 +1,3 @@
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diff --git a/Computer_Vision/poolformer_s12_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/poolformer_s12_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..ab11220b0
--- /dev/null
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@@ -0,0 +1,211 @@
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index 000000000..0b01b4cc9
--- /dev/null
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new file mode 100644
index 000000000..3df391e3d
--- /dev/null
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diff --git a/Computer_Vision/poolformer_s24_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/poolformer_s24_Opset18_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..84fb62678
--- /dev/null
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index 000000000..16b2a8c97
--- /dev/null
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diff --git a/Computer_Vision/regnet_x_16gf_Opset17_torch_hub/regnet_x_16gf_Opset17.onnx b/Computer_Vision/regnet_x_16gf_Opset17_torch_hub/regnet_x_16gf_Opset17.onnx
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index 000000000..1545c0df8
--- /dev/null
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diff --git a/Computer_Vision/regnet_x_16gf_Opset17_torch_hub/turnkey_stats.yaml b/Computer_Vision/regnet_x_16gf_Opset17_torch_hub/turnkey_stats.yaml
new file mode 100644
index 000000000..5bc20be15
--- /dev/null
+++ b/Computer_Vision/regnet_x_16gf_Opset17_torch_hub/turnkey_stats.yaml
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+    runtime: ort
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+hash: 90fe350f
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+  - 224
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diff --git a/Computer_Vision/regnet_x_16gf_Opset18_torch_hub/regnet_x_16gf_Opset18.onnx b/Computer_Vision/regnet_x_16gf_Opset18_torch_hub/regnet_x_16gf_Opset18.onnx
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diff --git a/Computer_Vision/regnet_x_16gf_Opset18_torch_hub/turnkey_stats.yaml b/Computer_Vision/regnet_x_16gf_Opset18_torch_hub/turnkey_stats.yaml
new file mode 100644
index 000000000..3c87d796c
--- /dev/null
+++ b/Computer_Vision/regnet_x_16gf_Opset18_torch_hub/turnkey_stats.yaml
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/torch_hub/regnet_x_16gf.py
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diff --git a/Computer_Vision/regnet_x_1_6gf_Opset16_torch_hub/regnet_x_1_6gf_Opset16.onnx b/Computer_Vision/regnet_x_1_6gf_Opset16_torch_hub/regnet_x_1_6gf_Opset16.onnx
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diff --git a/Computer_Vision/regnet_x_1_6gf_Opset16_torch_hub/turnkey_stats.yaml b/Computer_Vision/regnet_x_1_6gf_Opset16_torch_hub/turnkey_stats.yaml
new file mode 100644
index 000000000..096351aed
--- /dev/null
+++ b/Computer_Vision/regnet_x_1_6gf_Opset16_torch_hub/turnkey_stats.yaml
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+author: torch_hub
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+  - 224
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+  Conv: 59
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diff --git a/Computer_Vision/regnet_x_1_6gf_Opset17_torch_hub/regnet_x_1_6gf_Opset17.onnx b/Computer_Vision/regnet_x_1_6gf_Opset17_torch_hub/regnet_x_1_6gf_Opset17.onnx
new file mode 100644
index 000000000..1e7d64825
--- /dev/null
+++ b/Computer_Vision/regnet_x_1_6gf_Opset17_torch_hub/regnet_x_1_6gf_Opset17.onnx
@@ -0,0 +1,3 @@
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+size 36706601
diff --git a/Computer_Vision/regnet_x_1_6gf_Opset17_torch_hub/turnkey_stats.yaml b/Computer_Vision/regnet_x_1_6gf_Opset17_torch_hub/turnkey_stats.yaml
new file mode 100644
index 000000000..1ddfd937a
--- /dev/null
+++ b/Computer_Vision/regnet_x_1_6gf_Opset17_torch_hub/turnkey_stats.yaml
@@ -0,0 +1,199 @@
+author: torch_hub
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/torch_hub/regnet_x_1_6gf.py
+class: RegNet
+hash: 9b6af29e
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+  - 1
+  - 3
+  - 224
+  - 224
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+  Add: 18
+  Conv: 59
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+  Relu: 55
+parameters: 9190136
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diff --git a/Computer_Vision/regnet_x_1_6gf_Opset18_torch_hub/regnet_x_1_6gf_Opset18.onnx b/Computer_Vision/regnet_x_1_6gf_Opset18_torch_hub/regnet_x_1_6gf_Opset18.onnx
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diff --git a/Computer_Vision/regnet_x_1_6gf_Opset18_torch_hub/turnkey_stats.yaml b/Computer_Vision/regnet_x_1_6gf_Opset18_torch_hub/turnkey_stats.yaml
new file mode 100644
index 000000000..8d3ceaf29
--- /dev/null
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+    runtime: ort
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--- /dev/null
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diff --git a/Computer_Vision/regnet_x_32gf_Opset16_torch_hub/turnkey_stats.yaml b/Computer_Vision/regnet_x_32gf_Opset16_torch_hub/turnkey_stats.yaml
new file mode 100644
index 000000000..2bf925562
--- /dev/null
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diff --git a/Computer_Vision/regnet_x_32gf_Opset18_torch_hub/regnet_x_32gf_Opset18.onnx b/Computer_Vision/regnet_x_32gf_Opset18_torch_hub/regnet_x_32gf_Opset18.onnx
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new file mode 100644
index 000000000..16f80d68e
--- /dev/null
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diff --git a/Computer_Vision/regnet_x_3_2gf_Opset16_torch_hub/regnet_x_3_2gf_Opset16.onnx b/Computer_Vision/regnet_x_3_2gf_Opset16_torch_hub/regnet_x_3_2gf_Opset16.onnx
new file mode 100644
index 000000000..159cfa6cb
--- /dev/null
+++ b/Computer_Vision/regnet_x_3_2gf_Opset16_torch_hub/regnet_x_3_2gf_Opset16.onnx
@@ -0,0 +1,3 @@
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diff --git a/Computer_Vision/regnet_x_3_2gf_Opset16_torch_hub/turnkey_stats.yaml b/Computer_Vision/regnet_x_3_2gf_Opset16_torch_hub/turnkey_stats.yaml
new file mode 100644
index 000000000..9f63525d8
--- /dev/null
+++ b/Computer_Vision/regnet_x_3_2gf_Opset16_torch_hub/turnkey_stats.yaml
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+author: torch_hub
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+      set_success: 0.017348289489746094
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/torch_hub/regnet_x_3_2gf.py
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+hash: 731da922
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+  Conv: 80
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diff --git a/Computer_Vision/regnet_x_3_2gf_Opset17_torch_hub/regnet_x_3_2gf_Opset17.onnx b/Computer_Vision/regnet_x_3_2gf_Opset17_torch_hub/regnet_x_3_2gf_Opset17.onnx
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diff --git a/Computer_Vision/regnet_x_3_2gf_Opset17_torch_hub/turnkey_stats.yaml b/Computer_Vision/regnet_x_3_2gf_Opset17_torch_hub/turnkey_stats.yaml
new file mode 100644
index 000000000..4724dc69c
--- /dev/null
+++ b/Computer_Vision/regnet_x_3_2gf_Opset17_torch_hub/turnkey_stats.yaml
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+author: torch_hub
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/torch_hub/regnet_x_3_2gf.py
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+  - 224
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+  Conv: 80
+  Flatten: 1
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+  Relu: 76
+parameters: 15296552
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+  Memory Info: 62.79 GB
+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
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diff --git a/Computer_Vision/regnet_x_3_2gf_Opset18_torch_hub/turnkey_stats.yaml b/Computer_Vision/regnet_x_3_2gf_Opset18_torch_hub/turnkey_stats.yaml
new file mode 100644
index 000000000..caaebe683
--- /dev/null
+++ b/Computer_Vision/regnet_x_3_2gf_Opset18_torch_hub/turnkey_stats.yaml
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--- /dev/null
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--- /dev/null
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diff --git a/Computer_Vision/regnet_x_400mf_Opset18_torch_hub/turnkey_stats.yaml b/Computer_Vision/regnet_x_400mf_Opset18_torch_hub/turnkey_stats.yaml
new file mode 100644
index 000000000..475f03bf1
--- /dev/null
+++ b/Computer_Vision/regnet_x_400mf_Opset18_torch_hub/turnkey_stats.yaml
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+author: torch_hub
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+    runtime: ort
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+hash: 08b8712e
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new file mode 100644
index 000000000..034b28b23
--- /dev/null
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diff --git a/Computer_Vision/regnet_x_800mf_Opset17_torch_hub/regnet_x_800mf_Opset17.onnx b/Computer_Vision/regnet_x_800mf_Opset17_torch_hub/regnet_x_800mf_Opset17.onnx
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diff --git a/Computer_Vision/regnet_x_800mf_Opset17_torch_hub/turnkey_stats.yaml b/Computer_Vision/regnet_x_800mf_Opset17_torch_hub/turnkey_stats.yaml
new file mode 100644
index 000000000..5916de912
--- /dev/null
+++ b/Computer_Vision/regnet_x_800mf_Opset17_torch_hub/turnkey_stats.yaml
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diff --git a/Computer_Vision/regnet_x_800mf_Opset18_torch_hub/regnet_x_800mf_Opset18.onnx b/Computer_Vision/regnet_x_800mf_Opset18_torch_hub/regnet_x_800mf_Opset18.onnx
new file mode 100644
index 000000000..2f640690e
--- /dev/null
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diff --git a/Computer_Vision/regnet_x_800mf_Opset18_torch_hub/turnkey_stats.yaml b/Computer_Vision/regnet_x_800mf_Opset18_torch_hub/turnkey_stats.yaml
new file mode 100644
index 000000000..4c289eda7
--- /dev/null
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+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/torch_hub/regnet_x_800mf.py
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new file mode 100644
index 000000000..98c6c7907
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--- /dev/null
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diff --git a/Computer_Vision/regnet_y_128gf_Opset17_torch_hub/regnet_y_128gf_Opset17.tar.gz b/Computer_Vision/regnet_y_128gf_Opset17_torch_hub/regnet_y_128gf_Opset17.tar.gz
new file mode 100644
index 000000000..37690618a
--- /dev/null
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new file mode 100644
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+    runtime: ort
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index 000000000..12c1b76fb
--- /dev/null
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diff --git a/Computer_Vision/regnet_y_16gf_Opset16_torch_hub/turnkey_stats.yaml b/Computer_Vision/regnet_y_16gf_Opset16_torch_hub/turnkey_stats.yaml
new file mode 100644
index 000000000..784beb782
--- /dev/null
+++ b/Computer_Vision/regnet_y_16gf_Opset16_torch_hub/turnkey_stats.yaml
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+  - 224
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index 000000000..c3b095d6f
--- /dev/null
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diff --git a/Computer_Vision/regnet_y_16gf_Opset18_torch_hub/regnet_y_16gf_Opset18.onnx b/Computer_Vision/regnet_y_16gf_Opset18_torch_hub/regnet_y_16gf_Opset18.onnx
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diff --git a/Computer_Vision/regnet_y_16gf_Opset18_torch_hub/turnkey_stats.yaml b/Computer_Vision/regnet_y_16gf_Opset18_torch_hub/turnkey_stats.yaml
new file mode 100644
index 000000000..3a8229d70
--- /dev/null
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diff --git a/Computer_Vision/regnet_y_1_6gf_Opset16_torch_hub/turnkey_stats.yaml b/Computer_Vision/regnet_y_1_6gf_Opset16_torch_hub/turnkey_stats.yaml
new file mode 100644
index 000000000..0648b806d
--- /dev/null
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+    runtime: ort
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index 000000000..b6ebf8a95
--- /dev/null
+++ b/Computer_Vision/regnet_y_1_6gf_Opset17_torch_hub/turnkey_stats.yaml
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diff --git a/Computer_Vision/regnet_y_1_6gf_Opset18_torch_hub/regnet_y_1_6gf_Opset18.onnx b/Computer_Vision/regnet_y_1_6gf_Opset18_torch_hub/regnet_y_1_6gf_Opset18.onnx
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diff --git a/Computer_Vision/regnet_y_1_6gf_Opset18_torch_hub/turnkey_stats.yaml b/Computer_Vision/regnet_y_1_6gf_Opset18_torch_hub/turnkey_stats.yaml
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--- /dev/null
+++ b/Computer_Vision/regnet_y_1_6gf_Opset18_torch_hub/turnkey_stats.yaml
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diff --git a/Computer_Vision/regnet_y_32gf_Opset16_torch_hub/regnet_y_32gf_Opset16.onnx b/Computer_Vision/regnet_y_32gf_Opset16_torch_hub/regnet_y_32gf_Opset16.onnx
new file mode 100644
index 000000000..06b412f1b
--- /dev/null
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diff --git a/Computer_Vision/regnet_y_32gf_Opset16_torch_hub/turnkey_stats.yaml b/Computer_Vision/regnet_y_32gf_Opset16_torch_hub/turnkey_stats.yaml
new file mode 100644
index 000000000..8e951e032
--- /dev/null
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new file mode 100644
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--- /dev/null
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diff --git a/Computer_Vision/regnet_y_3_2gf_Opset18_torch_hub/regnet_y_3_2gf_Opset18.onnx b/Computer_Vision/regnet_y_3_2gf_Opset18_torch_hub/regnet_y_3_2gf_Opset18.onnx
new file mode 100644
index 000000000..10183d658
--- /dev/null
+++ b/Computer_Vision/regnet_y_3_2gf_Opset18_torch_hub/regnet_y_3_2gf_Opset18.onnx
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diff --git a/Computer_Vision/regnet_y_3_2gf_Opset18_torch_hub/turnkey_stats.yaml b/Computer_Vision/regnet_y_3_2gf_Opset18_torch_hub/turnkey_stats.yaml
new file mode 100644
index 000000000..644906b09
--- /dev/null
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+    runtime: ort
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diff --git a/Computer_Vision/regnet_y_400mf_Opset16_torch_hub/turnkey_stats.yaml b/Computer_Vision/regnet_y_400mf_Opset16_torch_hub/turnkey_stats.yaml
new file mode 100644
index 000000000..b2d079937
--- /dev/null
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new file mode 100644
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--- /dev/null
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index 000000000..390afefe0
--- /dev/null
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diff --git a/Computer_Vision/regnet_y_800mf_Opset17_torch_hub/turnkey_stats.yaml b/Computer_Vision/regnet_y_800mf_Opset17_torch_hub/turnkey_stats.yaml
new file mode 100644
index 000000000..e5589fc4e
--- /dev/null
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+    runtime: ort
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diff --git a/Computer_Vision/regnet_y_800mf_Opset18_torch_hub/regnet_y_800mf_Opset18.onnx b/Computer_Vision/regnet_y_800mf_Opset18_torch_hub/regnet_y_800mf_Opset18.onnx
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new file mode 100644
index 000000000..42a9ded3b
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diff --git a/Computer_Vision/regnet_y_8gf_Opset16_torch_hub/regnet_y_8gf_Opset16.onnx b/Computer_Vision/regnet_y_8gf_Opset16_torch_hub/regnet_y_8gf_Opset16.onnx
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diff --git a/Computer_Vision/regnet_y_8gf_Opset16_torch_hub/turnkey_stats.yaml b/Computer_Vision/regnet_y_8gf_Opset16_torch_hub/turnkey_stats.yaml
new file mode 100644
index 000000000..b8be04c8f
--- /dev/null
+++ b/Computer_Vision/regnet_y_8gf_Opset16_torch_hub/turnkey_stats.yaml
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diff --git a/Computer_Vision/regnet_y_8gf_Opset17_torch_hub/regnet_y_8gf_Opset17.onnx b/Computer_Vision/regnet_y_8gf_Opset17_torch_hub/regnet_y_8gf_Opset17.onnx
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index 000000000..d4b94858c
--- /dev/null
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diff --git a/Computer_Vision/regnet_y_8gf_Opset18_torch_hub/regnet_y_8gf_Opset18.onnx b/Computer_Vision/regnet_y_8gf_Opset18_torch_hub/regnet_y_8gf_Opset18.onnx
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new file mode 100644
index 000000000..2effa37da
--- /dev/null
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+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/torch_hub/regnet_y_8gf.py
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new file mode 100644
index 000000000..5541d8090
--- /dev/null
+++ b/Computer_Vision/regnetv_064_Opset17_timm/regnetv_064_Opset17.onnx
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diff --git a/Computer_Vision/regnetv_064_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/regnetv_064_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..6d378e93a
--- /dev/null
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index 000000000..303051499
--- /dev/null
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+author: timm
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--- /dev/null
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diff --git a/Computer_Vision/regnetx_002_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/regnetx_002_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..68abcd5f7
--- /dev/null
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+hash: 50a0cb8c
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index 000000000..70e2bc58f
--- /dev/null
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diff --git a/Computer_Vision/regnetx_004_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/regnetx_004_Opset16_timm/turnkey_stats.yaml
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index 000000000..fad95e441
--- /dev/null
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+  Conv: 53
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+  GlobalAveragePool: 1
+  Relu: 49
+parameters: 6196040
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diff --git a/Computer_Vision/regnetx_006_Opset17_timm/regnetx_006_Opset17.onnx b/Computer_Vision/regnetx_006_Opset17_timm/regnetx_006_Opset17.onnx
new file mode 100644
index 000000000..5421b8af3
--- /dev/null
+++ b/Computer_Vision/regnetx_006_Opset17_timm/regnetx_006_Opset17.onnx
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diff --git a/Computer_Vision/regnetx_006_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/regnetx_006_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..5ebdfc52f
--- /dev/null
+++ b/Computer_Vision/regnetx_006_Opset17_timm/turnkey_stats.yaml
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+author: timm
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/regnetx_006.py
+class: RegNet
+hash: c086bf76
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+  - 224
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+  Add: 16
+  Conv: 53
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+parameters: 6196040
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index 000000000..e3a4d6019
--- /dev/null
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+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/regnetx_006.py
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diff --git a/Computer_Vision/regnetx_008_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/regnetx_008_Opset16_timm/turnkey_stats.yaml
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index 000000000..74f09277d
--- /dev/null
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index 000000000..11ac9c85b
--- /dev/null
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index 000000000..5b374c2c8
--- /dev/null
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diff --git a/Computer_Vision/regnetx_016_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/regnetx_016_Opset16_timm/turnkey_stats.yaml
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index 000000000..3b31b58c7
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index 000000000..46be94f93
--- /dev/null
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index 000000000..938b49039
--- /dev/null
+++ b/Computer_Vision/regnetx_016_Opset18_timm/turnkey_stats.yaml
@@ -0,0 +1,199 @@
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index 000000000..7b7dd929f
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index 000000000..3f2da8175
--- /dev/null
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index 000000000..07269500b
--- /dev/null
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index 000000000..7bb9ff5f0
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@@ -0,0 +1,199 @@
+author: timm
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+hash: b85737d9
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+  Conv: 56
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+  Relu: 52
+parameters: 26209256
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diff --git a/Computer_Vision/regnetx_064_Opset18_timm/regnetx_064_Opset18.onnx b/Computer_Vision/regnetx_064_Opset18_timm/regnetx_064_Opset18.onnx
new file mode 100644
index 000000000..d159f63ae
--- /dev/null
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diff --git a/Computer_Vision/regnetx_064_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/regnetx_064_Opset18_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..2d4421cf4
--- /dev/null
+++ b/Computer_Vision/regnetx_064_Opset18_timm/turnkey_stats.yaml
@@ -0,0 +1,199 @@
+author: timm
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+class: RegNet
+hash: b85737d9
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+  Conv: 56
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new file mode 100644
index 000000000..9487f7e69
--- /dev/null
+++ b/Computer_Vision/regnetx_080_Opset16_timm/turnkey_stats.yaml
@@ -0,0 +1,199 @@
+author: timm
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index 000000000..2654e69c4
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index 000000000..d32bc787c
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index 000000000..367b5aad5
--- /dev/null
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diff --git a/Computer_Vision/regnetx_120_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/regnetx_120_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..df8e8b7e4
--- /dev/null
+++ b/Computer_Vision/regnetx_120_Opset17_timm/turnkey_stats.yaml
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+author: timm
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+class: RegNet
+hash: 4fcd5b64
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+  Conv: 62
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+parameters: 46106056
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index 000000000..9a993ded5
--- /dev/null
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+author: timm
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+hash: 4fcd5b64
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+  - 224
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+  Conv: 62
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diff --git a/Computer_Vision/regnetx_160_Opset16_timm/regnetx_160_Opset16.onnx b/Computer_Vision/regnetx_160_Opset16_timm/regnetx_160_Opset16.onnx
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index 000000000..c1374b333
--- /dev/null
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index 000000000..102ee0481
--- /dev/null
+++ b/Computer_Vision/regnetx_160_Opset17_timm/turnkey_stats.yaml
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diff --git a/Computer_Vision/regnetx_160_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/regnetx_160_Opset18_timm/turnkey_stats.yaml
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index 000000000..d09b49b34
--- /dev/null
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--- /dev/null
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diff --git a/Computer_Vision/regnetx_320_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/regnetx_320_Opset16_timm/turnkey_stats.yaml
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index 000000000..3e35913df
--- /dev/null
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index 000000000..1d9ee32d4
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index 000000000..4477f35a7
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diff --git a/Computer_Vision/regnety_002_Opset16_timm/regnety_002_Opset16.onnx b/Computer_Vision/regnety_002_Opset16_timm/regnety_002_Opset16.onnx
new file mode 100644
index 000000000..39621873a
--- /dev/null
+++ b/Computer_Vision/regnety_002_Opset16_timm/regnety_002_Opset16.onnx
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0c602c8d62c6ebd8fe309b59e12f1a374ea77fdd0d562321d940dcc108e7b4a6
+size 12641506
diff --git a/Computer_Vision/regnety_002_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/regnety_002_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..3898afe47
--- /dev/null
+++ b/Computer_Vision/regnety_002_Opset16_timm/turnkey_stats.yaml
@@ -0,0 +1,202 @@
+author: timm
+builds:
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+    - set_success
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+      set_success: 0.014485359191894531
+    device_type: x86
+    iterations: 100
+    onnx_file: /home/azureuser/.cache/turnkey/regnety_002_timm_12699b60/onnx/regnety_002_timm_12699b60-op16-base.onnx
+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/regnety_002.py
+class: RegNet
+hash: b4509259
+model_name: regnety_002
+onnx_input_dimensions:
+  x:
+  - 1
+  - 3
+  - 224
+  - 224
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+  ir_version: 8
+  opset: 16
+  size on disk (KiB): 12345.2529
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+  Add: 13
+  Conv: 70
+  Flatten: 1
+  Gemm: 1
+  GlobalAveragePool: 1
+  Mul: 13
+  ReduceMean: 13
+  Relu: 53
+  Sigmoid: 13
+parameters: 3162996
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+  Memory Info: 62.79 GB
+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
+  Processor: Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
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diff --git a/Computer_Vision/regnety_002_Opset17_timm/regnety_002_Opset17.onnx b/Computer_Vision/regnety_002_Opset17_timm/regnety_002_Opset17.onnx
new file mode 100644
index 000000000..8156c8c80
--- /dev/null
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+version https://git-lfs.github.com/spec/v1
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diff --git a/Computer_Vision/regnety_002_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/regnety_002_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..73c892183
--- /dev/null
+++ b/Computer_Vision/regnety_002_Opset17_timm/turnkey_stats.yaml
@@ -0,0 +1,202 @@
+author: timm
+builds:
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+    - set_success
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+    iterations: 100
+    onnx_file: /home/azureuser/.cache/turnkey/regnety_002_timm_12699b60/onnx/regnety_002_timm_12699b60-op17-base.onnx
+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/regnety_002.py
+class: RegNet
+hash: b4509259
+model_name: regnety_002
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+  x:
+  - 1
+  - 3
+  - 224
+  - 224
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+  Conv: 70
+  Flatten: 1
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+  ReduceMean: 13
+  Relu: 53
+  Sigmoid: 13
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+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
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index 000000000..48e5941b8
--- /dev/null
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index 000000000..a518ba5af
--- /dev/null
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index 000000000..bdd1dae06
--- /dev/null
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new file mode 100644
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--- /dev/null
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diff --git a/Computer_Vision/regnety_006_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/regnety_006_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..2d6cf9a22
--- /dev/null
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index 000000000..91935a05b
--- /dev/null
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diff --git a/Computer_Vision/regnety_016_Opset16_timm/regnety_016_Opset16.onnx b/Computer_Vision/regnety_016_Opset16_timm/regnety_016_Opset16.onnx
new file mode 100644
index 000000000..cc3fea817
--- /dev/null
+++ b/Computer_Vision/regnety_016_Opset16_timm/regnety_016_Opset16.onnx
@@ -0,0 +1,3 @@
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+size 44767669
diff --git a/Computer_Vision/regnety_016_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/regnety_016_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..7c4c784cf
--- /dev/null
+++ b/Computer_Vision/regnety_016_Opset16_timm/turnkey_stats.yaml
@@ -0,0 +1,202 @@
+author: timm
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+    runtime: ort
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+class: RegNet
+hash: 72c62b5e
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index 000000000..579fcf570
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diff --git a/Computer_Vision/regnety_016_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/regnety_016_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..0f36df721
--- /dev/null
+++ b/Computer_Vision/regnety_016_Opset17_timm/turnkey_stats.yaml
@@ -0,0 +1,202 @@
+author: timm
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+hash: 72c62b5e
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new file mode 100644
index 000000000..f91585e10
--- /dev/null
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diff --git a/Computer_Vision/regnety_032_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/regnety_032_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..5c6c0a7b1
--- /dev/null
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new file mode 100644
index 000000000..55993c637
--- /dev/null
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new file mode 100644
index 000000000..52009fafe
--- /dev/null
+++ b/Computer_Vision/regnety_040_Opset16_timm/turnkey_stats.yaml
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new file mode 100644
index 000000000..953f81784
--- /dev/null
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diff --git a/Computer_Vision/regnety_040_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/regnety_040_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..de33c306e
--- /dev/null
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index 000000000..2d45f8005
--- /dev/null
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new file mode 100644
index 000000000..d85b0ea60
--- /dev/null
+++ b/Computer_Vision/regnety_064_Opset17_timm/turnkey_stats.yaml
@@ -0,0 +1,202 @@
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+    runtime: ort
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+hash: b5ee5f30
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+  - 3
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+  - 224
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+  Relu: 101
+  Sigmoid: 25
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diff --git a/Computer_Vision/regnety_080_Opset16_timm/regnety_080_Opset16.onnx b/Computer_Vision/regnety_080_Opset16_timm/regnety_080_Opset16.onnx
new file mode 100644
index 000000000..226780936
--- /dev/null
+++ b/Computer_Vision/regnety_080_Opset16_timm/regnety_080_Opset16.onnx
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d16677c24e9c3ecc8506caf90d3478c534569650a715c23704a82cbe930e8d27
+size 156589167
diff --git a/Computer_Vision/regnety_080_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/regnety_080_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..4b5d376eb
--- /dev/null
+++ b/Computer_Vision/regnety_080_Opset16_timm/turnkey_stats.yaml
@@ -0,0 +1,202 @@
+author: timm
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+    device_type: x86
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+    onnx_file: /home/azureuser/.cache/turnkey/regnety_080_timm_011c1cee/onnx/regnety_080_timm_011c1cee-op16-base.onnx
+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/regnety_080.py
+class: RegNet
+hash: e6e4db56
+model_name: regnety_080
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+  x:
+  - 1
+  - 3
+  - 224
+  - 224
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+  opset: 16
+  size on disk (KiB): 152919.1406
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+  Conv: 90
+  Flatten: 1
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+  GlobalAveragePool: 1
+  Mul: 17
+  ReduceMean: 17
+  Relu: 69
+  Sigmoid: 17
+parameters: 39180068
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+  Memory Info: 62.79 GB
+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
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new file mode 100644
index 000000000..b217ff8a8
--- /dev/null
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diff --git a/Computer_Vision/regnety_080_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/regnety_080_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..7824d9d86
--- /dev/null
+++ b/Computer_Vision/regnety_080_Opset17_timm/turnkey_stats.yaml
@@ -0,0 +1,202 @@
+author: timm
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/regnety_080.py
+class: RegNet
+hash: e6e4db56
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+  - 224
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+  GlobalAveragePool: 1
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+  Sigmoid: 17
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+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
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new file mode 100644
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--- /dev/null
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diff --git a/Computer_Vision/regnety_120_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/regnety_120_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..1b431eaf1
--- /dev/null
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index 000000000..576186458
--- /dev/null
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--- /dev/null
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diff --git a/Computer_Vision/regnety_160_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/regnety_160_Opset16_timm/turnkey_stats.yaml
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index 000000000..0dd03c3a3
--- /dev/null
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@@ -0,0 +1,202 @@
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new file mode 100644
index 000000000..caccf49e7
--- /dev/null
+++ b/Computer_Vision/regnety_160_Opset17_timm/regnety_160_Opset17.onnx
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+version https://git-lfs.github.com/spec/v1
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diff --git a/Computer_Vision/regnety_160_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/regnety_160_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..cf7b83185
--- /dev/null
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diff --git a/Computer_Vision/regnety_320_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/regnety_320_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..5c564f3fe
--- /dev/null
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@@ -0,0 +1,202 @@
+author: timm
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+hash: ef165afc
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diff --git a/Computer_Vision/regnety_320_Opset17_timm/regnety_320_Opset17.onnx b/Computer_Vision/regnety_320_Opset17_timm/regnety_320_Opset17.onnx
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index 000000000..a2490045b
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new file mode 100644
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new file mode 100644
index 000000000..23c862a02
--- /dev/null
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diff --git a/Computer_Vision/regnetz_b16_Opset17_timm/regnetz_b16_Opset17.onnx b/Computer_Vision/regnetz_b16_Opset17_timm/regnetz_b16_Opset17.onnx
new file mode 100644
index 000000000..490a66349
--- /dev/null
+++ b/Computer_Vision/regnetz_b16_Opset17_timm/regnetz_b16_Opset17.onnx
@@ -0,0 +1,3 @@
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diff --git a/Computer_Vision/regnetz_b16_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/regnetz_b16_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..88eb2612e
--- /dev/null
+++ b/Computer_Vision/regnetz_b16_Opset17_timm/turnkey_stats.yaml
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+author: timm
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/regnetz_b16.py
+class: ByobNet
+hash: 2d735ee1
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+  - 1
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+  - 224
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+  Sigmoid: 68
+parameters: 9715480
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diff --git a/Computer_Vision/regnetz_c16_Opset16_timm/regnetz_c16_Opset16.onnx b/Computer_Vision/regnetz_c16_Opset16_timm/regnetz_c16_Opset16.onnx
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index 000000000..a826f78b4
--- /dev/null
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+author: timm
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diff --git a/Computer_Vision/regnetz_d32_Opset16_timm/regnetz_d32_Opset16.onnx b/Computer_Vision/regnetz_d32_Opset16_timm/regnetz_d32_Opset16.onnx
new file mode 100644
index 000000000..11609b657
--- /dev/null
+++ b/Computer_Vision/regnetz_d32_Opset16_timm/regnetz_d32_Opset16.onnx
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diff --git a/Computer_Vision/regnetz_d32_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/regnetz_d32_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..4615b787c
--- /dev/null
+++ b/Computer_Vision/regnetz_d32_Opset16_timm/turnkey_stats.yaml
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+author: timm
+builds:
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/regnetz_d32.py
+class: ByobNet
+hash: 71016e93
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+  x:
+  - 1
+  - 3
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+  - 256
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+  opset: 16
+  size on disk (KiB): 107627.3535
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+  Conv: 124
+  Flatten: 1
+  Gemm: 1
+  GlobalAveragePool: 1
+  Mul: 76
+  ReduceMean: 24
+  Relu: 24
+  Sigmoid: 76
+parameters: 27576288
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+  OEM System: Virtual Machine
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diff --git a/Computer_Vision/regnetz_d32_Opset17_timm/regnetz_d32_Opset17.onnx b/Computer_Vision/regnetz_d32_Opset17_timm/regnetz_d32_Opset17.onnx
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diff --git a/Computer_Vision/regnetz_d32_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/regnetz_d32_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..0c2b633c2
--- /dev/null
+++ b/Computer_Vision/regnetz_d32_Opset17_timm/turnkey_stats.yaml
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+author: timm
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+      set_success: 0.020648717880249023
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+    onnx_file: /home/azureuser/.cache/turnkey/regnetz_d32_timm_fda36449/onnx/regnetz_d32_timm_fda36449-op17-base.onnx
+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/regnetz_d32.py
+class: ByobNet
+hash: 71016e93
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+  - 3
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+  - 256
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+  Conv: 124
+  Flatten: 1
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+  GlobalAveragePool: 1
+  Mul: 76
+  ReduceMean: 24
+  Relu: 24
+  Sigmoid: 76
+parameters: 27576288
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+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
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diff --git a/Computer_Vision/regnetz_d8_Opset16_timm/regnetz_d8_Opset16.onnx b/Computer_Vision/regnetz_d8_Opset16_timm/regnetz_d8_Opset16.onnx
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new file mode 100644
index 000000000..3f122a805
--- /dev/null
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--- /dev/null
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diff --git a/Computer_Vision/regnetz_d8_evos_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/regnetz_d8_evos_Opset16_timm/turnkey_stats.yaml
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index 000000000..b9e418508
--- /dev/null
+++ b/Computer_Vision/regnetz_d8_evos_Opset16_timm/turnkey_stats.yaml
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diff --git a/Computer_Vision/regnetz_d8_evos_Opset17_timm/regnetz_d8_evos_Opset17.onnx b/Computer_Vision/regnetz_d8_evos_Opset17_timm/regnetz_d8_evos_Opset17.onnx
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--- /dev/null
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index 000000000..7eaf511cd
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diff --git a/Computer_Vision/repvgg_a2_Opset16_timm/repvgg_a2_Opset16.onnx b/Computer_Vision/repvgg_a2_Opset16_timm/repvgg_a2_Opset16.onnx
new file mode 100644
index 000000000..ddaf7ae0f
--- /dev/null
+++ b/Computer_Vision/repvgg_a2_Opset16_timm/repvgg_a2_Opset16.onnx
@@ -0,0 +1,3 @@
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diff --git a/Computer_Vision/repvgg_a2_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/repvgg_a2_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..017a5d1ca
--- /dev/null
+++ b/Computer_Vision/repvgg_a2_Opset16_timm/turnkey_stats.yaml
@@ -0,0 +1,200 @@
+author: timm
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/repvgg_a2.py
+class: ByobNet
+hash: cbbe7d03
+model_name: repvgg_a2
+onnx_input_dimensions:
+  x:
+  - 1
+  - 3
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+  - 224
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+  BatchNormalization: 17
+  Conv: 44
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+  OEM System: Virtual Machine
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diff --git a/Computer_Vision/repvgg_a2_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/repvgg_a2_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..4c193a55a
--- /dev/null
+++ b/Computer_Vision/repvgg_a2_Opset17_timm/turnkey_stats.yaml
@@ -0,0 +1,200 @@
+author: timm
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/repvgg_a2.py
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+hash: cbbe7d03
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+  - 224
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+  OEM System: Virtual Machine
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index 000000000..bf9e65144
--- /dev/null
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diff --git a/Computer_Vision/repvgg_b0_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/repvgg_b0_Opset18_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..b243d0308
--- /dev/null
+++ b/Computer_Vision/repvgg_b0_Opset18_timm/turnkey_stats.yaml
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+author: timm
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+    runtime: ort
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+hash: 3ee1a6ae
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+  Conv: 56
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index 000000000..1ea108ad5
--- /dev/null
+++ b/Computer_Vision/repvgg_b1_Opset16_timm/turnkey_stats.yaml
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+author: timm
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/repvgg_b1.py
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+  Conv: 56
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index 000000000..339c6f84a
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+++ b/Computer_Vision/repvgg_b1_Opset17_timm/turnkey_stats.yaml
@@ -0,0 +1,200 @@
+author: timm
+builds:
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+    onnx_file: /home/azureuser/.cache/turnkey/repvgg_b1_timm_800bae65/onnx/repvgg_b1_timm_800bae65-op17-base.onnx
+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/repvgg_b1.py
+class: ByobNet
+hash: b0951feb
+model_name: repvgg_b1
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+  - 1
+  - 3
+  - 224
+  - 224
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+  size on disk (KiB): 224299.1738
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+  Add: 51
+  BatchNormalization: 23
+  Conv: 56
+  Flatten: 1
+  Gemm: 1
+  GlobalAveragePool: 1
+  Relu: 28
+parameters: 57415016
+system_info:
+  Memory Info: 62.79 GB
+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
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diff --git a/Computer_Vision/repvgg_b1_Opset18_timm/repvgg_b1_Opset18.onnx b/Computer_Vision/repvgg_b1_Opset18_timm/repvgg_b1_Opset18.onnx
new file mode 100644
index 000000000..075c2f245
--- /dev/null
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diff --git a/Computer_Vision/repvgg_b1_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/repvgg_b1_Opset18_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..96a648876
--- /dev/null
+++ b/Computer_Vision/repvgg_b1_Opset18_timm/turnkey_stats.yaml
@@ -0,0 +1,200 @@
+author: timm
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+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/repvgg_b1.py
+class: ByobNet
+hash: b0951feb
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+  - 224
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+  BatchNormalization: 23
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diff --git a/Computer_Vision/repvgg_b1g4_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/repvgg_b1g4_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..37dfa383c
--- /dev/null
+++ b/Computer_Vision/repvgg_b1g4_Opset16_timm/turnkey_stats.yaml
@@ -0,0 +1,200 @@
+author: timm
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+      set_success: 0.020575284957885742
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/repvgg_b1g4.py
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+  Conv: 56
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--- /dev/null
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new file mode 100644
index 000000000..2c9dc2888
--- /dev/null
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--- /dev/null
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new file mode 100644
index 000000000..78282b27b
--- /dev/null
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diff --git a/Computer_Vision/repvgg_b2_Opset17_timm/repvgg_b2_Opset17.onnx b/Computer_Vision/repvgg_b2_Opset17_timm/repvgg_b2_Opset17.onnx
new file mode 100644
index 000000000..1a3701d45
--- /dev/null
+++ b/Computer_Vision/repvgg_b2_Opset17_timm/repvgg_b2_Opset17.onnx
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+version https://git-lfs.github.com/spec/v1
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+size 356105874
diff --git a/Computer_Vision/repvgg_b2_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/repvgg_b2_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..4e2715dbb
--- /dev/null
+++ b/Computer_Vision/repvgg_b2_Opset17_timm/turnkey_stats.yaml
@@ -0,0 +1,200 @@
+author: timm
+builds:
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+    device_type: x86
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+    onnx_file: /home/azureuser/.cache/turnkey/repvgg_b2_timm_5d413eae/onnx/repvgg_b2_timm_5d413eae-op17-base.onnx
+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/repvgg_b2.py
+class: ByobNet
+hash: c31c430f
+model_name: repvgg_b2
+onnx_input_dimensions:
+  x:
+  - 1
+  - 3
+  - 224
+  - 224
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+  ir_version: 8
+  opset: 17
+  size on disk (KiB): 347759.6748
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+  Add: 51
+  BatchNormalization: 23
+  Conv: 56
+  Flatten: 1
+  Gemm: 1
+  GlobalAveragePool: 1
+  Relu: 28
+parameters: 89022376
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+  Memory Info: 62.79 GB
+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
+  Processor: Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
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diff --git a/Computer_Vision/repvgg_b2_Opset18_timm/repvgg_b2_Opset18.onnx b/Computer_Vision/repvgg_b2_Opset18_timm/repvgg_b2_Opset18.onnx
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diff --git a/Computer_Vision/repvgg_b2_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/repvgg_b2_Opset18_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..5373fa4a8
--- /dev/null
+++ b/Computer_Vision/repvgg_b2_Opset18_timm/turnkey_stats.yaml
@@ -0,0 +1,200 @@
+author: timm
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+      set_success: 0.01678156852722168
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+    iterations: 100
+    onnx_file: /home/azureuser/.cache/turnkey/repvgg_b2_timm_5d413eae/onnx/repvgg_b2_timm_5d413eae-op18-base.onnx
+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/repvgg_b2.py
+class: ByobNet
+hash: c31c430f
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+  - 224
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+  BatchNormalization: 23
+  Conv: 56
+  Flatten: 1
+  Gemm: 1
+  GlobalAveragePool: 1
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+  OEM System: Virtual Machine
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index 000000000..4753625e8
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new file mode 100644
index 000000000..5576ea37f
--- /dev/null
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index 000000000..37683362d
--- /dev/null
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new file mode 100644
index 000000000..348303d3a
--- /dev/null
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diff --git a/Computer_Vision/repvgg_b3_Opset16_timm/repvgg_b3_Opset16.onnx b/Computer_Vision/repvgg_b3_Opset16_timm/repvgg_b3_Opset16.onnx
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index 000000000..13f7fb3f5
--- /dev/null
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diff --git a/Computer_Vision/repvgg_b3_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/repvgg_b3_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..8ce87b421
--- /dev/null
+++ b/Computer_Vision/repvgg_b3_Opset16_timm/turnkey_stats.yaml
@@ -0,0 +1,200 @@
+author: timm
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/repvgg_b3.py
+class: ByobNet
+hash: c7d192ce
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+  x:
+  - 1
+  - 3
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+  - 224
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+  Conv: 56
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new file mode 100644
index 000000000..63e78e340
--- /dev/null
+++ b/Computer_Vision/repvgg_b3_Opset17_timm/turnkey_stats.yaml
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+author: timm
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+    onnx_file: /home/azureuser/.cache/turnkey/repvgg_b3_timm_a62ed25c/onnx/repvgg_b3_timm_a62ed25c-op17-base.onnx
+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/repvgg_b3.py
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+hash: c7d192ce
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+  Conv: 56
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diff --git a/Computer_Vision/repvgg_b3_Opset18_timm/repvgg_b3_Opset18.onnx b/Computer_Vision/repvgg_b3_Opset18_timm/repvgg_b3_Opset18.onnx
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index 000000000..02253a721
--- /dev/null
+++ b/Computer_Vision/repvgg_b3_Opset18_timm/repvgg_b3_Opset18.onnx
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diff --git a/Computer_Vision/repvgg_b3_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/repvgg_b3_Opset18_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..670f937f2
--- /dev/null
+++ b/Computer_Vision/repvgg_b3_Opset18_timm/turnkey_stats.yaml
@@ -0,0 +1,200 @@
+author: timm
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/repvgg_b3.py
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+  - 224
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diff --git a/Computer_Vision/repvgg_b3g4_Opset16_timm/repvgg_b3g4_Opset16.onnx b/Computer_Vision/repvgg_b3g4_Opset16_timm/repvgg_b3g4_Opset16.onnx
new file mode 100644
index 000000000..3c21c69cf
--- /dev/null
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diff --git a/Computer_Vision/repvgg_b3g4_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/repvgg_b3g4_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..554f700bb
--- /dev/null
+++ b/Computer_Vision/repvgg_b3g4_Opset16_timm/turnkey_stats.yaml
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+    runtime: ort
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+  Conv: 56
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index 000000000..01aacfc62
--- /dev/null
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diff --git a/Computer_Vision/res2net101_26w_4s_Opset18_timm/res2net101_26w_4s_Opset18.onnx b/Computer_Vision/res2net101_26w_4s_Opset18_timm/res2net101_26w_4s_Opset18.onnx
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index 000000000..775efebe1
--- /dev/null
+++ b/Computer_Vision/res2net101_26w_4s_Opset18_timm/res2net101_26w_4s_Opset18.onnx
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diff --git a/Computer_Vision/res2net101_26w_4s_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/res2net101_26w_4s_Opset18_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..652df875e
--- /dev/null
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+author: timm
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diff --git a/Computer_Vision/res2net50_14w_8s_Opset16_timm/res2net50_14w_8s_Opset16.onnx b/Computer_Vision/res2net50_14w_8s_Opset16_timm/res2net50_14w_8s_Opset16.onnx
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diff --git a/Computer_Vision/res2net50_14w_8s_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/res2net50_14w_8s_Opset16_timm/turnkey_stats.yaml
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--- /dev/null
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--- /dev/null
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diff --git a/Computer_Vision/res2net50_26w_4s_Opset17_timm/res2net50_26w_4s_Opset17.onnx b/Computer_Vision/res2net50_26w_4s_Opset17_timm/res2net50_26w_4s_Opset17.onnx
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--- /dev/null
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diff --git a/Computer_Vision/res2net50_26w_4s_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/res2net50_26w_4s_Opset17_timm/turnkey_stats.yaml
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index 000000000..b54f8668b
--- /dev/null
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+    runtime: ort
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diff --git a/Computer_Vision/res2net50_26w_4s_Opset18_timm/res2net50_26w_4s_Opset18.onnx b/Computer_Vision/res2net50_26w_4s_Opset18_timm/res2net50_26w_4s_Opset18.onnx
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diff --git a/Computer_Vision/res2net50_26w_4s_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/res2net50_26w_4s_Opset18_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..97ab9835d
--- /dev/null
+++ b/Computer_Vision/res2net50_26w_4s_Opset18_timm/turnkey_stats.yaml
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+author: timm
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diff --git a/Computer_Vision/res2net50_26w_6s_Opset16_timm/res2net50_26w_6s_Opset16.onnx b/Computer_Vision/res2net50_26w_6s_Opset16_timm/res2net50_26w_6s_Opset16.onnx
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index 000000000..872f5659c
--- /dev/null
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+hash: 2061f6d7
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diff --git a/Computer_Vision/res2net50_26w_6s_Opset17_timm/res2net50_26w_6s_Opset17.onnx b/Computer_Vision/res2net50_26w_6s_Opset17_timm/res2net50_26w_6s_Opset17.onnx
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diff --git a/Computer_Vision/res2net50_26w_6s_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/res2net50_26w_6s_Opset17_timm/turnkey_stats.yaml
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index 000000000..28fce5752
--- /dev/null
+++ b/Computer_Vision/res2net50_26w_6s_Opset17_timm/turnkey_stats.yaml
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+author: timm
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diff --git a/Computer_Vision/res2net50_26w_6s_Opset18_timm/res2net50_26w_6s_Opset18.onnx b/Computer_Vision/res2net50_26w_6s_Opset18_timm/res2net50_26w_6s_Opset18.onnx
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index 000000000..083075d88
--- /dev/null
+++ b/Computer_Vision/res2net50_26w_6s_Opset18_timm/turnkey_stats.yaml
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+author: timm
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diff --git a/Computer_Vision/res2net50_26w_8s_Opset16_timm/res2net50_26w_8s_Opset16.onnx b/Computer_Vision/res2net50_26w_8s_Opset16_timm/res2net50_26w_8s_Opset16.onnx
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index 000000000..1943c329b
--- /dev/null
+++ b/Computer_Vision/res2net50_26w_8s_Opset16_timm/res2net50_26w_8s_Opset16.onnx
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diff --git a/Computer_Vision/res2net50_26w_8s_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/res2net50_26w_8s_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..1e889be51
--- /dev/null
+++ b/Computer_Vision/res2net50_26w_8s_Opset16_timm/turnkey_stats.yaml
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+author: timm
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+    runtime: ort
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+hash: c9b3c53d
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+  MaxPool: 1
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diff --git a/Computer_Vision/res2net50_26w_8s_Opset17_timm/res2net50_26w_8s_Opset17.onnx b/Computer_Vision/res2net50_26w_8s_Opset17_timm/res2net50_26w_8s_Opset17.onnx
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diff --git a/Computer_Vision/res2net50_26w_8s_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/res2net50_26w_8s_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..f6797a465
--- /dev/null
+++ b/Computer_Vision/res2net50_26w_8s_Opset17_timm/turnkey_stats.yaml
@@ -0,0 +1,204 @@
+author: timm
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+    runtime: ort
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+hash: c9b3c53d
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+  - 224
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+  Split: 16
+parameters: 48403776
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+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
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diff --git a/Computer_Vision/res2net50_26w_8s_Opset18_timm/res2net50_26w_8s_Opset18.onnx b/Computer_Vision/res2net50_26w_8s_Opset18_timm/res2net50_26w_8s_Opset18.onnx
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diff --git a/Computer_Vision/res2net50_26w_8s_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/res2net50_26w_8s_Opset18_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..b5a52944b
--- /dev/null
+++ b/Computer_Vision/res2net50_26w_8s_Opset18_timm/turnkey_stats.yaml
@@ -0,0 +1,204 @@
+author: timm
+builds:
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+    - set_success
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+  - 3
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+  - 224
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diff --git a/Computer_Vision/res2net50_48w_2s_Opset16_timm/res2net50_48w_2s_Opset16.onnx b/Computer_Vision/res2net50_48w_2s_Opset16_timm/res2net50_48w_2s_Opset16.onnx
new file mode 100644
index 000000000..438f72364
--- /dev/null
+++ b/Computer_Vision/res2net50_48w_2s_Opset16_timm/res2net50_48w_2s_Opset16.onnx
@@ -0,0 +1,3 @@
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diff --git a/Computer_Vision/res2net50_48w_2s_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/res2net50_48w_2s_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..5246b7925
--- /dev/null
+++ b/Computer_Vision/res2net50_48w_2s_Opset16_timm/turnkey_stats.yaml
@@ -0,0 +1,204 @@
+author: timm
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/res2net50_48w_2s.py
+class: ResNet
+hash: 35f17a88
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+  - 224
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+  size on disk (KiB): 98703.0322
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+  GlobalAveragePool: 1
+  MaxPool: 1
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+  Split: 16
+parameters: 25287304
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diff --git a/Computer_Vision/res2net50_48w_2s_Opset17_timm/res2net50_48w_2s_Opset17.onnx b/Computer_Vision/res2net50_48w_2s_Opset17_timm/res2net50_48w_2s_Opset17.onnx
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--- /dev/null
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+author: timm
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+  OEM System: Virtual Machine
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diff --git a/Computer_Vision/res2net50_48w_2s_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/res2net50_48w_2s_Opset18_timm/turnkey_stats.yaml
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--- /dev/null
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index 000000000..f79c2e26f
--- /dev/null
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diff --git a/Computer_Vision/res2next50_Opset18_timm/res2next50_Opset18.onnx b/Computer_Vision/res2next50_Opset18_timm/res2next50_Opset18.onnx
new file mode 100644
index 000000000..515a688ec
--- /dev/null
+++ b/Computer_Vision/res2next50_Opset18_timm/res2next50_Opset18.onnx
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diff --git a/Computer_Vision/res2next50_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/res2next50_Opset18_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..b3666d55c
--- /dev/null
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@@ -0,0 +1,204 @@
+author: timm
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diff --git a/Computer_Vision/resmlp_12_224_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/resmlp_12_224_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..102471f15
--- /dev/null
+++ b/Computer_Vision/resmlp_12_224_Opset16_timm/turnkey_stats.yaml
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+author: timm
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index 000000000..5d5cf607d
--- /dev/null
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new file mode 100644
index 000000000..4930a5053
--- /dev/null
+++ b/Computer_Vision/resmlp_12_224_Opset17_timm/turnkey_stats.yaml
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--- /dev/null
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diff --git a/Computer_Vision/resmlp_12_224_dino_Opset17_timm/resmlp_12_224_dino_Opset17.onnx b/Computer_Vision/resmlp_12_224_dino_Opset17_timm/resmlp_12_224_dino_Opset17.onnx
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diff --git a/Computer_Vision/resmlp_12_224_dino_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/resmlp_12_224_dino_Opset17_timm/turnkey_stats.yaml
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--- /dev/null
+++ b/Computer_Vision/resmlp_12_224_dino_Opset17_timm/turnkey_stats.yaml
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diff --git a/Computer_Vision/resmlp_12_distilled_224_Opset16_timm/resmlp_12_distilled_224_Opset16.onnx b/Computer_Vision/resmlp_12_distilled_224_Opset16_timm/resmlp_12_distilled_224_Opset16.onnx
new file mode 100644
index 000000000..7f61d30e2
--- /dev/null
+++ b/Computer_Vision/resmlp_12_distilled_224_Opset16_timm/resmlp_12_distilled_224_Opset16.onnx
@@ -0,0 +1,3 @@
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diff --git a/Computer_Vision/resmlp_12_distilled_224_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/resmlp_12_distilled_224_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..a97ba1f4e
--- /dev/null
+++ b/Computer_Vision/resmlp_12_distilled_224_Opset16_timm/turnkey_stats.yaml
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+author: timm
+builds:
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/resmlp_12_distilled_224.py
+class: MlpMixer
+hash: 371923e5
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+  - 1
+  - 3
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+  - 224
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+  Add: 97
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+  MatMul: 36
+  Mul: 98
+  ReduceMean: 1
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+task: Computer_Vision
diff --git a/Computer_Vision/resmlp_12_distilled_224_Opset17_timm/resmlp_12_distilled_224_Opset17.onnx b/Computer_Vision/resmlp_12_distilled_224_Opset17_timm/resmlp_12_distilled_224_Opset17.onnx
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diff --git a/Computer_Vision/resmlp_12_distilled_224_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/resmlp_12_distilled_224_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..b4b820cfb
--- /dev/null
+++ b/Computer_Vision/resmlp_12_distilled_224_Opset17_timm/turnkey_stats.yaml
@@ -0,0 +1,207 @@
+author: timm
+builds:
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+    all_build_stages:
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+    - set_success
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/resmlp_12_distilled_224.py
+class: MlpMixer
+hash: 371923e5
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+  - 1
+  - 3
+  - 224
+  - 224
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+  Add: 97
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+  MatMul: 36
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+  ReduceMean: 1
+  Reshape: 1
+  Shape: 1
+  Slice: 1
+  Transpose: 25
+parameters: 15350872
+system_info:
+  Memory Info: 62.79 GB
+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
+  Processor: Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
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diff --git a/Computer_Vision/resmlp_24_224_Opset16_timm/resmlp_24_224_Opset16.onnx b/Computer_Vision/resmlp_24_224_Opset16_timm/resmlp_24_224_Opset16.onnx
new file mode 100644
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new file mode 100644
index 000000000..1092ecea2
--- /dev/null
+++ b/Computer_Vision/resmlp_24_224_Opset16_timm/turnkey_stats.yaml
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+  - 224
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index 000000000..98ec588c9
--- /dev/null
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diff --git a/Computer_Vision/resmlp_24_224_dino_Opset16_timm/resmlp_24_224_dino_Opset16.onnx b/Computer_Vision/resmlp_24_224_dino_Opset16_timm/resmlp_24_224_dino_Opset16.onnx
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new file mode 100644
index 000000000..2343f7219
--- /dev/null
+++ b/Computer_Vision/resmlp_24_224_dino_Opset16_timm/turnkey_stats.yaml
@@ -0,0 +1,207 @@
+author: timm
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diff --git a/Computer_Vision/resmlp_24_224_dino_Opset17_timm/resmlp_24_224_dino_Opset17.onnx b/Computer_Vision/resmlp_24_224_dino_Opset17_timm/resmlp_24_224_dino_Opset17.onnx
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--- /dev/null
+++ b/Computer_Vision/resmlp_24_224_dino_Opset17_timm/resmlp_24_224_dino_Opset17.onnx
@@ -0,0 +1,3 @@
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diff --git a/Computer_Vision/resmlp_24_224_dino_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/resmlp_24_224_dino_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..3100349c5
--- /dev/null
+++ b/Computer_Vision/resmlp_24_224_dino_Opset17_timm/turnkey_stats.yaml
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+author: timm
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/resmlp_24_224_dino.py
+class: MlpMixer
+hash: d0723612
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+  - 224
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+  Add: 193
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+  MatMul: 72
+  Mul: 194
+  ReduceMean: 1
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+  Transpose: 49
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diff --git a/Computer_Vision/resmlp_24_distilled_224_Opset16_timm/resmlp_24_distilled_224_Opset16.onnx b/Computer_Vision/resmlp_24_distilled_224_Opset16_timm/resmlp_24_distilled_224_Opset16.onnx
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diff --git a/Computer_Vision/resmlp_24_distilled_224_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/resmlp_24_distilled_224_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..6e5af7dfa
--- /dev/null
+++ b/Computer_Vision/resmlp_24_distilled_224_Opset16_timm/turnkey_stats.yaml
@@ -0,0 +1,207 @@
+author: timm
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+    runtime: ort
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+hash: d0723612
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+  - 1
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+  - 224
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+  Mul: 194
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+  Shape: 1
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+parameters: 30020680
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+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
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diff --git a/Computer_Vision/resmlp_24_distilled_224_Opset17_timm/resmlp_24_distilled_224_Opset17.onnx b/Computer_Vision/resmlp_24_distilled_224_Opset17_timm/resmlp_24_distilled_224_Opset17.onnx
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diff --git a/Computer_Vision/resmlp_24_distilled_224_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/resmlp_24_distilled_224_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..35c6293a3
--- /dev/null
+++ b/Computer_Vision/resmlp_24_distilled_224_Opset17_timm/turnkey_stats.yaml
@@ -0,0 +1,207 @@
+author: timm
+builds:
+  x86_ort:
+    all_build_stages:
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+  - 224
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diff --git a/Computer_Vision/resmlp_36_224_Opset16_timm/resmlp_36_224_Opset16.onnx b/Computer_Vision/resmlp_36_224_Opset16_timm/resmlp_36_224_Opset16.onnx
new file mode 100644
index 000000000..573e3d96e
--- /dev/null
+++ b/Computer_Vision/resmlp_36_224_Opset16_timm/resmlp_36_224_Opset16.onnx
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diff --git a/Computer_Vision/resmlp_36_224_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/resmlp_36_224_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..220cb8027
--- /dev/null
+++ b/Computer_Vision/resmlp_36_224_Opset16_timm/turnkey_stats.yaml
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diff --git a/Computer_Vision/resmlp_36_224_Opset17_timm/resmlp_36_224_Opset17.onnx b/Computer_Vision/resmlp_36_224_Opset17_timm/resmlp_36_224_Opset17.onnx
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--- /dev/null
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@@ -0,0 +1,207 @@
+author: timm
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diff --git a/Computer_Vision/resmlp_big_24_224_Opset17_timm/resmlp_big_24_224_Opset17.onnx b/Computer_Vision/resmlp_big_24_224_Opset17_timm/resmlp_big_24_224_Opset17.onnx
new file mode 100644
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--- /dev/null
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diff --git a/Computer_Vision/resmlp_big_24_224_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/resmlp_big_24_224_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..5a0abc960
--- /dev/null
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diff --git a/Computer_Vision/resmlp_big_24_224_in22ft1k_Opset16_timm/resmlp_big_24_224_in22ft1k_Opset16.onnx b/Computer_Vision/resmlp_big_24_224_in22ft1k_Opset16_timm/resmlp_big_24_224_in22ft1k_Opset16.onnx
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--- /dev/null
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diff --git a/Computer_Vision/resmlp_big_24_224_in22ft1k_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/resmlp_big_24_224_in22ft1k_Opset17_timm/turnkey_stats.yaml
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diff --git a/Computer_Vision/resmlp_big_24_distilled_224_Opset17_timm/resmlp_big_24_distilled_224_Opset17.onnx b/Computer_Vision/resmlp_big_24_distilled_224_Opset17_timm/resmlp_big_24_distilled_224_Opset17.onnx
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--- /dev/null
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diff --git a/Computer_Vision/resnest101e_Opset16_timm/resnest101e_Opset16.onnx b/Computer_Vision/resnest101e_Opset16_timm/resnest101e_Opset16.onnx
new file mode 100644
index 000000000..dbc5f4f8e
--- /dev/null
+++ b/Computer_Vision/resnest101e_Opset16_timm/resnest101e_Opset16.onnx
@@ -0,0 +1,3 @@
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diff --git a/Computer_Vision/resnest101e_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/resnest101e_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..10e9c478a
--- /dev/null
+++ b/Computer_Vision/resnest101e_Opset16_timm/turnkey_stats.yaml
@@ -0,0 +1,208 @@
+author: timm
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+hash: c3eeab6a
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diff --git a/Computer_Vision/resnest101e_Opset17_timm/resnest101e_Opset17.onnx b/Computer_Vision/resnest101e_Opset17_timm/resnest101e_Opset17.onnx
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index 000000000..1a82c6bd0
--- /dev/null
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diff --git a/Computer_Vision/resnest101e_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/resnest101e_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..e2c99ee93
--- /dev/null
+++ b/Computer_Vision/resnest101e_Opset17_timm/turnkey_stats.yaml
@@ -0,0 +1,208 @@
+author: timm
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+hash: c3eeab6a
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new file mode 100644
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--- /dev/null
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index 000000000..71a79e298
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index 000000000..95192b19f
--- /dev/null
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new file mode 100644
index 000000000..79cba76cd
--- /dev/null
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diff --git a/Computer_Vision/resnest200e_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/resnest200e_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..55acb6974
--- /dev/null
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index 000000000..da5b473ee
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diff --git a/Computer_Vision/resnest269e_Opset17_timm/resnest269e_Opset17.onnx b/Computer_Vision/resnest269e_Opset17_timm/resnest269e_Opset17.onnx
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index 000000000..2b0197432
--- /dev/null
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index 000000000..ceb3d3245
--- /dev/null
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index 000000000..8eba7041d
--- /dev/null
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diff --git a/Computer_Vision/resnest50d_1s4x24d_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/resnest50d_1s4x24d_Opset16_timm/turnkey_stats.yaml
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--- /dev/null
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diff --git a/Computer_Vision/resnest50d_4s2x40d_Opset16_timm/resnest50d_4s2x40d_Opset16.onnx b/Computer_Vision/resnest50d_4s2x40d_Opset16_timm/resnest50d_4s2x40d_Opset16.onnx
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diff --git a/Computer_Vision/resnest50d_4s2x40d_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/resnest50d_4s2x40d_Opset16_timm/turnkey_stats.yaml
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--- /dev/null
+++ b/Computer_Vision/resnest50d_4s2x40d_Opset16_timm/turnkey_stats.yaml
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diff --git a/Computer_Vision/resnest50d_4s2x40d_Opset17_timm/resnest50d_4s2x40d_Opset17.onnx b/Computer_Vision/resnest50d_4s2x40d_Opset17_timm/resnest50d_4s2x40d_Opset17.onnx
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--- /dev/null
+++ b/Computer_Vision/resnest50d_4s2x40d_Opset17_timm/resnest50d_4s2x40d_Opset17.onnx
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diff --git a/Computer_Vision/resnest50d_4s2x40d_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/resnest50d_4s2x40d_Opset17_timm/turnkey_stats.yaml
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new file mode 100644
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diff --git a/Computer_Vision/resnet101_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/resnet101_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..3eb30077e
--- /dev/null
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+author: timm
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+  Add: 33
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diff --git a/Computer_Vision/resnet101_Opset17_torch_hub/turnkey_stats.yaml b/Computer_Vision/resnet101_Opset17_torch_hub/turnkey_stats.yaml
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index 000000000..4e5813f59
--- /dev/null
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diff --git a/Computer_Vision/resnet101_Opset18_timm/resnet101_Opset18.onnx b/Computer_Vision/resnet101_Opset18_timm/resnet101_Opset18.onnx
new file mode 100644
index 000000000..1797a8300
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new file mode 100644
index 000000000..21c2af79d
--- /dev/null
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index 000000000..1bf06cc9a
--- /dev/null
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new file mode 100644
index 000000000..3560bec4e
--- /dev/null
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new file mode 100644
index 000000000..49453e910
--- /dev/null
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index 000000000..ed7d18553
--- /dev/null
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index 000000000..86b0d9d37
--- /dev/null
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diff --git a/Computer_Vision/resnet10t_Opset17_timm/resnet10t_Opset17.onnx b/Computer_Vision/resnet10t_Opset17_timm/resnet10t_Opset17.onnx
new file mode 100644
index 000000000..f7f96173b
--- /dev/null
+++ b/Computer_Vision/resnet10t_Opset17_timm/resnet10t_Opset17.onnx
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+size 21737732
diff --git a/Computer_Vision/resnet10t_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/resnet10t_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..ac066ce4a
--- /dev/null
+++ b/Computer_Vision/resnet10t_Opset17_timm/turnkey_stats.yaml
@@ -0,0 +1,201 @@
+author: timm
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/resnet10t.py
+class: ResNet
+hash: f48b3014
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new file mode 100644
index 000000000..45d4c5389
--- /dev/null
+++ b/Computer_Vision/resnet10t_Opset18_timm/turnkey_stats.yaml
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+author: timm
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new file mode 100644
index 000000000..1c025a031
--- /dev/null
+++ b/Computer_Vision/resnet14t_Opset16_timm/resnet14t_Opset16.onnx
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diff --git a/Computer_Vision/resnet14t_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/resnet14t_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..936cb1d3e
--- /dev/null
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@@ -0,0 +1,201 @@
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+    runtime: ort
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new file mode 100644
index 000000000..d1f666966
--- /dev/null
+++ b/Computer_Vision/resnet14t_Opset17_timm/turnkey_stats.yaml
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+    runtime: ort
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diff --git a/Computer_Vision/resnet14t_Opset18_timm/resnet14t_Opset18.onnx b/Computer_Vision/resnet14t_Opset18_timm/resnet14t_Opset18.onnx
new file mode 100644
index 000000000..0615b848e
--- /dev/null
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diff --git a/Computer_Vision/resnet14t_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/resnet14t_Opset18_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..88bdac1e7
--- /dev/null
+++ b/Computer_Vision/resnet14t_Opset18_timm/turnkey_stats.yaml
@@ -0,0 +1,201 @@
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diff --git a/Computer_Vision/resnet152_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/resnet152_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..a26057b7b
--- /dev/null
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index 000000000..0fc9c8598
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index 000000000..2e91d25b4
--- /dev/null
+++ b/Computer_Vision/resnet152_Opset17_timm/turnkey_stats.yaml
@@ -0,0 +1,200 @@
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diff --git a/Computer_Vision/resnet152_Opset17_torch_hub/resnet152_Opset17.onnx b/Computer_Vision/resnet152_Opset17_torch_hub/resnet152_Opset17.onnx
new file mode 100644
index 000000000..b73c6c4c3
--- /dev/null
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diff --git a/Computer_Vision/resnet152_Opset17_torch_hub/turnkey_stats.yaml b/Computer_Vision/resnet152_Opset17_torch_hub/turnkey_stats.yaml
new file mode 100644
index 000000000..487da0d51
--- /dev/null
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+author: torch_hub
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index 000000000..eaae558ef
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new file mode 100644
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--- /dev/null
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diff --git a/Computer_Vision/resnet152_Opset18_torch_hub/turnkey_stats.yaml b/Computer_Vision/resnet152_Opset18_torch_hub/turnkey_stats.yaml
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index 000000000..bc9439761
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index 000000000..379057759
--- /dev/null
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index 000000000..1f6df5153
--- /dev/null
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new file mode 100644
index 000000000..56dff80f2
--- /dev/null
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diff --git a/Computer_Vision/resnet18_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/resnet18_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..1c5ddecd3
--- /dev/null
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index 000000000..321c090af
--- /dev/null
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index 000000000..2ef491932
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index 000000000..31ffde837
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index 000000000..b872a3104
--- /dev/null
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new file mode 100644
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diff --git a/Computer_Vision/resnet18d_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/resnet18d_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..e3c585131
--- /dev/null
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index 000000000..ea7015825
--- /dev/null
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diff --git a/Computer_Vision/resnet200d_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/resnet200d_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..8506f001a
--- /dev/null
+++ b/Computer_Vision/resnet200d_Opset16_timm/turnkey_stats.yaml
@@ -0,0 +1,201 @@
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diff --git a/Computer_Vision/resnet200d_Opset17_timm/resnet200d_Opset17.onnx b/Computer_Vision/resnet200d_Opset17_timm/resnet200d_Opset17.onnx
new file mode 100644
index 000000000..51a235804
--- /dev/null
+++ b/Computer_Vision/resnet200d_Opset17_timm/resnet200d_Opset17.onnx
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diff --git a/Computer_Vision/resnet200d_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/resnet200d_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..89505e197
--- /dev/null
+++ b/Computer_Vision/resnet200d_Opset17_timm/turnkey_stats.yaml
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+author: timm
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+parameters: 64693064
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new file mode 100644
index 000000000..0fd4dbabb
--- /dev/null
+++ b/Computer_Vision/resnet200d_Opset18_timm/turnkey_stats.yaml
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new file mode 100644
index 000000000..893a1ee94
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diff --git a/Computer_Vision/resnet26_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/resnet26_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..c21b4b059
--- /dev/null
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+    runtime: ort
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+class: ResNet
+hash: 69e735cb
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index 000000000..9c54ba418
--- /dev/null
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index 000000000..b7554ac3e
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diff --git a/Computer_Vision/resnet26_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/resnet26_Opset18_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..20d4a8e20
--- /dev/null
+++ b/Computer_Vision/resnet26_Opset18_timm/turnkey_stats.yaml
@@ -0,0 +1,200 @@
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new file mode 100644
index 000000000..fdd091c11
--- /dev/null
+++ b/Computer_Vision/resnet26d_Opset16_timm/resnet26d_Opset16.onnx
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diff --git a/Computer_Vision/resnet26d_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/resnet26d_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..b37198b89
--- /dev/null
+++ b/Computer_Vision/resnet26d_Opset16_timm/turnkey_stats.yaml
@@ -0,0 +1,201 @@
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/resnet26d.py
+class: ResNet
+hash: f859d042
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+  MaxPool: 1
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+parameters: 16014408
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+  OEM System: Virtual Machine
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diff --git a/Computer_Vision/resnet26d_Opset17_timm/resnet26d_Opset17.onnx b/Computer_Vision/resnet26d_Opset17_timm/resnet26d_Opset17.onnx
new file mode 100644
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diff --git a/Computer_Vision/resnet26d_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/resnet26d_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..3fb0eacda
--- /dev/null
+++ b/Computer_Vision/resnet26d_Opset17_timm/turnkey_stats.yaml
@@ -0,0 +1,201 @@
+author: timm
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+    runtime: ort
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+hash: f859d042
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diff --git a/Computer_Vision/resnet26d_Opset18_timm/resnet26d_Opset18.onnx b/Computer_Vision/resnet26d_Opset18_timm/resnet26d_Opset18.onnx
new file mode 100644
index 000000000..d5b0a9020
--- /dev/null
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+version https://git-lfs.github.com/spec/v1
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diff --git a/Computer_Vision/resnet26d_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/resnet26d_Opset18_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..85037f34f
--- /dev/null
+++ b/Computer_Vision/resnet26d_Opset18_timm/turnkey_stats.yaml
@@ -0,0 +1,201 @@
+author: timm
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+  - 224
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diff --git a/Computer_Vision/resnet26t_Opset16_timm/resnet26t_Opset16.onnx b/Computer_Vision/resnet26t_Opset16_timm/resnet26t_Opset16.onnx
new file mode 100644
index 000000000..193f7cbfd
--- /dev/null
+++ b/Computer_Vision/resnet26t_Opset16_timm/resnet26t_Opset16.onnx
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+size 64000584
diff --git a/Computer_Vision/resnet26t_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/resnet26t_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..21b314c8b
--- /dev/null
+++ b/Computer_Vision/resnet26t_Opset16_timm/turnkey_stats.yaml
@@ -0,0 +1,201 @@
+author: timm
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+hash: b67ca5e4
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index 000000000..cf30ec897
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new file mode 100644
index 000000000..ca806fa7a
--- /dev/null
+++ b/Computer_Vision/resnet26t_Opset17_timm/turnkey_stats.yaml
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new file mode 100644
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--- /dev/null
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diff --git a/Computer_Vision/resnet26t_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/resnet26t_Opset18_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..993eea8fa
--- /dev/null
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index 000000000..d2e60cddf
--- /dev/null
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index 000000000..a38fc3496
--- /dev/null
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new file mode 100644
index 000000000..08c232afc
--- /dev/null
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diff --git a/Computer_Vision/resnet32ts_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/resnet32ts_Opset18_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..473fc1b49
--- /dev/null
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index 000000000..7f98af222
--- /dev/null
+++ b/Computer_Vision/resnet33ts_Opset16_timm/turnkey_stats.yaml
@@ -0,0 +1,200 @@
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index 000000000..9c32594a4
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@@ -0,0 +1,200 @@
+author: timm
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/resnet33ts.py
+class: ByobNet
+hash: a37c1d96
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+  Mul: 34
+  Sigmoid: 34
+parameters: 19676256
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+  OEM System: Virtual Machine
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diff --git a/Computer_Vision/resnet33ts_Opset18_timm/resnet33ts_Opset18.onnx b/Computer_Vision/resnet33ts_Opset18_timm/resnet33ts_Opset18.onnx
new file mode 100644
index 000000000..fd933abe8
--- /dev/null
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diff --git a/Computer_Vision/resnet33ts_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/resnet33ts_Opset18_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..d68583361
--- /dev/null
+++ b/Computer_Vision/resnet33ts_Opset18_timm/turnkey_stats.yaml
@@ -0,0 +1,200 @@
+author: timm
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new file mode 100644
index 000000000..98fc4d11e
--- /dev/null
+++ b/Computer_Vision/resnet34_Opset16_timm/turnkey_stats.yaml
@@ -0,0 +1,200 @@
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diff --git a/Computer_Vision/resnet34_Opset16_torch_hub/turnkey_stats.yaml b/Computer_Vision/resnet34_Opset16_torch_hub/turnkey_stats.yaml
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index 000000000..9b25ba398
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index 000000000..7edef4537
--- /dev/null
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index 000000000..f4ae0bc86
--- /dev/null
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diff --git a/Computer_Vision/resnet34_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/resnet34_Opset18_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..a0eef4cd0
--- /dev/null
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index 000000000..76272602a
--- /dev/null
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new file mode 100644
index 000000000..f35c5e9e5
--- /dev/null
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@@ -0,0 +1,201 @@
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+    runtime: ort
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+hash: 0bd2f52b
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+  Relu: 35
+parameters: 21816904
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index 000000000..18e64f120
--- /dev/null
+++ b/Computer_Vision/resnet34d_Opset17_timm/turnkey_stats.yaml
@@ -0,0 +1,201 @@
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index 000000000..3176d0214
--- /dev/null
+++ b/Computer_Vision/resnet34d_Opset18_timm/turnkey_stats.yaml
@@ -0,0 +1,201 @@
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new file mode 100644
index 000000000..50c878930
--- /dev/null
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diff --git a/Computer_Vision/resnet50_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/resnet50_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..534f49788
--- /dev/null
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index 000000000..7135e0b63
--- /dev/null
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new file mode 100644
index 000000000..6d7decdd4
--- /dev/null
+++ b/Computer_Vision/resnet50_Opset17_timm/turnkey_stats.yaml
@@ -0,0 +1,200 @@
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diff --git a/Computer_Vision/resnet50_Opset17_torch_hub/resnet50_Opset17.onnx b/Computer_Vision/resnet50_Opset17_torch_hub/resnet50_Opset17.onnx
new file mode 100644
index 000000000..36666cfee
--- /dev/null
+++ b/Computer_Vision/resnet50_Opset17_torch_hub/resnet50_Opset17.onnx
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+version https://git-lfs.github.com/spec/v1
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+size 102146338
diff --git a/Computer_Vision/resnet50_Opset17_torch_hub/turnkey_stats.yaml b/Computer_Vision/resnet50_Opset17_torch_hub/turnkey_stats.yaml
new file mode 100644
index 000000000..255ce37f0
--- /dev/null
+++ b/Computer_Vision/resnet50_Opset17_torch_hub/turnkey_stats.yaml
@@ -0,0 +1,200 @@
+author: torch_hub
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+    device_type: x86
+    iterations: 100
+    onnx_file: /home/azureuser/.cache/turnkey/resnet50_torch_hub_f7f24bc8/onnx/resnet50_torch_hub_f7f24bc8-op17-base.onnx
+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/torch_hub/resnet50.py
+class: ResNet
+hash: 3ba0a685
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+  Add: 16
+  Conv: 53
+  Flatten: 1
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+parameters: 25557032
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+  OEM System: Virtual Machine
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diff --git a/Computer_Vision/resnet50_Opset18_timm/resnet50_Opset18.onnx b/Computer_Vision/resnet50_Opset18_timm/resnet50_Opset18.onnx
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index 000000000..fad50ff3f
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+version https://git-lfs.github.com/spec/v1
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diff --git a/Computer_Vision/resnet50_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/resnet50_Opset18_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..2c4429cec
--- /dev/null
+++ b/Computer_Vision/resnet50_Opset18_timm/turnkey_stats.yaml
@@ -0,0 +1,200 @@
+author: timm
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+    onnx_file: /home/azureuser/.cache/turnkey/resnet50_timm_694a8fff/onnx/resnet50_timm_694a8fff-op18-base.onnx
+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/resnet50.py
+class: ResNet
+hash: 25cce11f
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+  size on disk (KiB): 99752.1865
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+  Conv: 53
+  Flatten: 1
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+parameters: 25557032
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+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
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--- /dev/null
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diff --git a/Computer_Vision/resnet50_Opset18_torch_hub/turnkey_stats.yaml b/Computer_Vision/resnet50_Opset18_torch_hub/turnkey_stats.yaml
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index 000000000..5ff38bc7c
--- /dev/null
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index 000000000..21a4c94c2
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index 000000000..e554cb772
--- /dev/null
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index 000000000..0a44d04ad
--- /dev/null
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diff --git a/Computer_Vision/resnet50_gn_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/resnet50_gn_Opset18_timm/turnkey_stats.yaml
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index 000000000..2b5965574
--- /dev/null
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index 000000000..10f360b3f
--- /dev/null
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diff --git a/Computer_Vision/resnet50d_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/resnet50d_Opset17_timm/turnkey_stats.yaml
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index 000000000..3e84c53e6
--- /dev/null
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diff --git a/Computer_Vision/resnet50d_Opset18_timm/resnet50d_Opset18.onnx b/Computer_Vision/resnet50d_Opset18_timm/resnet50d_Opset18.onnx
new file mode 100644
index 000000000..f86030c16
--- /dev/null
+++ b/Computer_Vision/resnet50d_Opset18_timm/resnet50d_Opset18.onnx
@@ -0,0 +1,3 @@
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+size 102224530
diff --git a/Computer_Vision/resnet50d_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/resnet50d_Opset18_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..a80024b5b
--- /dev/null
+++ b/Computer_Vision/resnet50d_Opset18_timm/turnkey_stats.yaml
@@ -0,0 +1,201 @@
+author: timm
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+    runtime: ort
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+class: ResNet
+hash: 8e82e34f
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+  - 224
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+  AveragePool: 3
+  Conv: 55
+  Flatten: 1
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+  GlobalAveragePool: 1
+  MaxPool: 1
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+parameters: 25576264
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+  OEM System: Virtual Machine
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--- /dev/null
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diff --git a/Computer_Vision/resnet51q_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/resnet51q_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..2d5e74857
--- /dev/null
+++ b/Computer_Vision/resnet51q_Opset16_timm/turnkey_stats.yaml
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+author: timm
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/resnet51q.py
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+hash: 9b4b723e
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new file mode 100644
index 000000000..ec66925af
--- /dev/null
+++ b/Computer_Vision/resnet51q_Opset17_timm/resnet51q_Opset17.onnx
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+version https://git-lfs.github.com/spec/v1
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diff --git a/Computer_Vision/resnet51q_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/resnet51q_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..07e60418a
--- /dev/null
+++ b/Computer_Vision/resnet51q_Opset17_timm/turnkey_stats.yaml
@@ -0,0 +1,200 @@
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+    runtime: ort
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+class: ByobNet
+hash: 9b4b723e
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+  Sigmoid: 51
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new file mode 100644
index 000000000..97304728e
--- /dev/null
+++ b/Computer_Vision/resnet51q_Opset18_timm/turnkey_stats.yaml
@@ -0,0 +1,200 @@
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+hash: 9b4b723e
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index 000000000..02d9ff303
--- /dev/null
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diff --git a/Computer_Vision/resnet61q_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/resnet61q_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..f55c36d8c
--- /dev/null
+++ b/Computer_Vision/resnet61q_Opset16_timm/turnkey_stats.yaml
@@ -0,0 +1,200 @@
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new file mode 100644
index 000000000..24e52ddfd
--- /dev/null
+++ b/Computer_Vision/resnet61q_Opset17_timm/resnet61q_Opset17.onnx
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
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diff --git a/Computer_Vision/resnet61q_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/resnet61q_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..6181a9117
--- /dev/null
+++ b/Computer_Vision/resnet61q_Opset17_timm/turnkey_stats.yaml
@@ -0,0 +1,200 @@
+author: timm
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/resnet61q.py
+class: ByobNet
+hash: 765bae85
+model_name: resnet61q
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+  x:
+  - 1
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+  - 256
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+  Add: 15
+  Conv: 67
+  Flatten: 1
+  Gemm: 1
+  GlobalAveragePool: 1
+  Mul: 63
+  Sigmoid: 63
+parameters: 36846968
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+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
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diff --git a/Computer_Vision/resnet61q_Opset18_timm/resnet61q_Opset18.onnx b/Computer_Vision/resnet61q_Opset18_timm/resnet61q_Opset18.onnx
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new file mode 100644
index 000000000..615d9b9a3
--- /dev/null
+++ b/Computer_Vision/resnet61q_Opset18_timm/turnkey_stats.yaml
@@ -0,0 +1,200 @@
+author: timm
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+    iterations: 100
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/resnet61q.py
+class: ByobNet
+hash: 765bae85
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+  - 256
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+  Sigmoid: 63
+parameters: 36846968
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+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
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diff --git a/Computer_Vision/resnetaa101d_Opset16_timm/resnetaa101d_Opset16.onnx b/Computer_Vision/resnetaa101d_Opset16_timm/resnetaa101d_Opset16.onnx
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index 000000000..57505d51b
--- /dev/null
+++ b/Computer_Vision/resnetaa101d_Opset16_timm/resnetaa101d_Opset16.onnx
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+version https://git-lfs.github.com/spec/v1
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diff --git a/Computer_Vision/resnetaa101d_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/resnetaa101d_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..7bfad61f5
--- /dev/null
+++ b/Computer_Vision/resnetaa101d_Opset16_timm/turnkey_stats.yaml
@@ -0,0 +1,200 @@
+author: timm
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+  - 3
+  - 224
+  - 224
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+  Conv: 106
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diff --git a/Computer_Vision/resnetaa101d_Opset17_timm/resnetaa101d_Opset17.onnx b/Computer_Vision/resnetaa101d_Opset17_timm/resnetaa101d_Opset17.onnx
new file mode 100644
index 000000000..d54f3e963
--- /dev/null
+++ b/Computer_Vision/resnetaa101d_Opset17_timm/resnetaa101d_Opset17.onnx
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diff --git a/Computer_Vision/resnetaa101d_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/resnetaa101d_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..c8a2ee1f8
--- /dev/null
+++ b/Computer_Vision/resnetaa101d_Opset17_timm/turnkey_stats.yaml
@@ -0,0 +1,200 @@
+author: timm
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/resnetaa101d.py
+class: ResNet
+hash: 5116e473
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+  - 1
+  - 3
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+  - 224
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+  opset: 17
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+  Add: 33
+  AveragePool: 7
+  Conv: 106
+  Flatten: 1
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+  GlobalAveragePool: 1
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+parameters: 44568392
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new file mode 100644
index 000000000..491aa0fbe
--- /dev/null
+++ b/Computer_Vision/resnetaa101d_Opset18_timm/turnkey_stats.yaml
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+author: timm
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+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/resnetaa101d.py
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+hash: 5116e473
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--- /dev/null
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diff --git a/Computer_Vision/resnetaa50_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/resnetaa50_Opset16_timm/turnkey_stats.yaml
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index 000000000..c9dd28520
--- /dev/null
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/resnetaa50.py
+class: ResNet
+hash: '40200240'
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+  - 224
+  - 224
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+  Conv: 53
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+  Relu: 49
+parameters: 25557032
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index 000000000..50eb8b3aa
--- /dev/null
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index 000000000..36006313d
--- /dev/null
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@@ -0,0 +1,200 @@
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+  - xxhash==3.4.1
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diff --git a/Computer_Vision/resnetaa50d_Opset16_timm/resnetaa50d_Opset16.onnx b/Computer_Vision/resnetaa50d_Opset16_timm/resnetaa50d_Opset16.onnx
new file mode 100644
index 000000000..6b4f5d88f
--- /dev/null
+++ b/Computer_Vision/resnetaa50d_Opset16_timm/resnetaa50d_Opset16.onnx
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
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diff --git a/Computer_Vision/resnetaa50d_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/resnetaa50d_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..15c844dcf
--- /dev/null
+++ b/Computer_Vision/resnetaa50d_Opset16_timm/turnkey_stats.yaml
@@ -0,0 +1,200 @@
+author: timm
+builds:
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/resnetaa50d.py
+class: ResNet
+hash: b8922cc4
+model_name: resnetaa50d
+onnx_input_dimensions:
+  x:
+  - 1
+  - 3
+  - 224
+  - 224
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+  ir_version: 8
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+  size on disk (KiB): 99829.4141
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+  Add: 16
+  AveragePool: 7
+  Conv: 55
+  Flatten: 1
+  Gemm: 1
+  GlobalAveragePool: 1
+  Relu: 51
+parameters: 25576264
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+  Memory Info: 62.79 GB
+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
+  Processor: Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
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diff --git a/Computer_Vision/resnetaa50d_Opset17_timm/resnetaa50d_Opset17.onnx b/Computer_Vision/resnetaa50d_Opset17_timm/resnetaa50d_Opset17.onnx
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index 000000000..70c604aa9
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diff --git a/Computer_Vision/resnetaa50d_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/resnetaa50d_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..cd3624cb1
--- /dev/null
+++ b/Computer_Vision/resnetaa50d_Opset17_timm/turnkey_stats.yaml
@@ -0,0 +1,200 @@
+author: timm
+builds:
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+      set_success: 0.016938209533691406
+    device_type: x86
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+    onnx_file: /home/azureuser/.cache/turnkey/resnetaa50d_timm_982eb7f9/onnx/resnetaa50d_timm_982eb7f9-op17-base.onnx
+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/resnetaa50d.py
+class: ResNet
+hash: b8922cc4
+model_name: resnetaa50d
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+  - 1
+  - 3
+  - 224
+  - 224
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+  size on disk (KiB): 99829.4141
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+  Add: 16
+  AveragePool: 7
+  Conv: 55
+  Flatten: 1
+  Gemm: 1
+  GlobalAveragePool: 1
+  Relu: 51
+parameters: 25576264
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+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
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diff --git a/Computer_Vision/resnetaa50d_Opset18_timm/resnetaa50d_Opset18.onnx b/Computer_Vision/resnetaa50d_Opset18_timm/resnetaa50d_Opset18.onnx
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new file mode 100644
index 000000000..efd385d68
--- /dev/null
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+    runtime: ort
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index 000000000..3b7e5062b
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index 000000000..0a2efae87
--- /dev/null
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diff --git a/Computer_Vision/resnetrs152_Opset16_timm/resnetrs152_Opset16.onnx b/Computer_Vision/resnetrs152_Opset16_timm/resnetrs152_Opset16.onnx
new file mode 100644
index 000000000..f1311c7ef
--- /dev/null
+++ b/Computer_Vision/resnetrs152_Opset16_timm/resnetrs152_Opset16.onnx
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diff --git a/Computer_Vision/resnetrs152_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/resnetrs152_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..909b89b00
--- /dev/null
+++ b/Computer_Vision/resnetrs152_Opset16_timm/turnkey_stats.yaml
@@ -0,0 +1,203 @@
+author: timm
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+    runtime: ort
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new file mode 100644
index 000000000..f28d63ea8
--- /dev/null
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+author: timm
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new file mode 100644
index 000000000..14c4f4615
--- /dev/null
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diff --git a/Computer_Vision/resnetrs200_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/resnetrs200_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..fbb52f826
--- /dev/null
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index 000000000..2e8b05d7a
--- /dev/null
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index 000000000..35ff8e860
--- /dev/null
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new file mode 100644
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index 000000000..90dbfedc9
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index 000000000..2984837c4
--- /dev/null
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new file mode 100644
index 000000000..a1e1cdc3f
--- /dev/null
+++ b/Computer_Vision/resnetrs420_Opset16_timm/resnetrs420_Opset16.onnx
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
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diff --git a/Computer_Vision/resnetrs420_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/resnetrs420_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..4d0d05320
--- /dev/null
+++ b/Computer_Vision/resnetrs420_Opset16_timm/turnkey_stats.yaml
@@ -0,0 +1,203 @@
+author: timm
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+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/resnetrs420.py
+class: ResNet
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+  Sigmoid: 139
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index 000000000..6ec53a22d
--- /dev/null
+++ b/Computer_Vision/resnetrs420_Opset17_timm/turnkey_stats.yaml
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+author: timm
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new file mode 100644
index 000000000..a5c896639
--- /dev/null
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diff --git a/Computer_Vision/resnetrs50_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/resnetrs50_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..3603ba77f
--- /dev/null
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@@ -0,0 +1,203 @@
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new file mode 100644
index 000000000..3fc5bb1d8
--- /dev/null
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diff --git a/Computer_Vision/resnetv2_101_Opset16_timm/resnetv2_101_Opset16.onnx b/Computer_Vision/resnetv2_101_Opset16_timm/resnetv2_101_Opset16.onnx
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--- /dev/null
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diff --git a/Computer_Vision/resnetv2_101_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/resnetv2_101_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..5025ca8ac
--- /dev/null
+++ b/Computer_Vision/resnetv2_101_Opset16_timm/turnkey_stats.yaml
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diff --git a/Computer_Vision/resnetv2_101_Opset17_timm/resnetv2_101_Opset17.onnx b/Computer_Vision/resnetv2_101_Opset17_timm/resnetv2_101_Opset17.onnx
new file mode 100644
index 000000000..2c70e0a6c
--- /dev/null
+++ b/Computer_Vision/resnetv2_101_Opset17_timm/resnetv2_101_Opset17.onnx
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diff --git a/Computer_Vision/resnetv2_101_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/resnetv2_101_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..7b0e9f159
--- /dev/null
+++ b/Computer_Vision/resnetv2_101_Opset17_timm/turnkey_stats.yaml
@@ -0,0 +1,200 @@
+author: timm
+builds:
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/resnetv2_101.py
+class: ResNetV2
+hash: bb2e0993
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+  x:
+  - 1
+  - 3
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+  - 224
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+  opset: 17
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+  Add: 33
+  BatchNormalization: 34
+  Conv: 105
+  Flatten: 1
+  GlobalAveragePool: 1
+  MaxPool: 1
+  Relu: 100
+parameters: 44541480
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+  Memory Info: 62.79 GB
+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
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diff --git a/Computer_Vision/resnetv2_101_Opset18_timm/resnetv2_101_Opset18.onnx b/Computer_Vision/resnetv2_101_Opset18_timm/resnetv2_101_Opset18.onnx
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diff --git a/Computer_Vision/resnetv2_101_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/resnetv2_101_Opset18_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..60a2529df
--- /dev/null
+++ b/Computer_Vision/resnetv2_101_Opset18_timm/turnkey_stats.yaml
@@ -0,0 +1,200 @@
+author: timm
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+      set_success: 0.020018339157104492
+    device_type: x86
+    iterations: 100
+    onnx_file: /home/azureuser/.cache/turnkey/resnetv2_101_timm_288d4762/onnx/resnetv2_101_timm_288d4762-op18-base.onnx
+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/resnetv2_101.py
+class: ResNetV2
+hash: bb2e0993
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+  - 224
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+  Add: 33
+  BatchNormalization: 34
+  Conv: 105
+  Flatten: 1
+  GlobalAveragePool: 1
+  MaxPool: 1
+  Relu: 100
+parameters: 44541480
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+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
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diff --git a/Computer_Vision/resnetv2_101x1_bitm_Opset16_timm/resnetv2_101x1_bitm_Opset16.onnx b/Computer_Vision/resnetv2_101x1_bitm_Opset16_timm/resnetv2_101x1_bitm_Opset16.onnx
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index 000000000..8b1f164fd
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+++ b/Computer_Vision/resnetv2_101x1_bitm_Opset16_timm/resnetv2_101x1_bitm_Opset16.onnx
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index 000000000..19f199f18
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index 000000000..651ab0d68
--- /dev/null
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diff --git a/Computer_Vision/resnetv2_101x1_bitm_in21k_Opset17_timm/resnetv2_101x1_bitm_in21k_Opset17.onnx b/Computer_Vision/resnetv2_101x1_bitm_in21k_Opset17_timm/resnetv2_101x1_bitm_in21k_Opset17.onnx
new file mode 100644
index 000000000..92905ef6f
--- /dev/null
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diff --git a/Computer_Vision/resnetv2_101x1_bitm_in21k_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/resnetv2_101x1_bitm_in21k_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..1ee5d8911
--- /dev/null
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+author: timm
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diff --git a/Computer_Vision/resnetv2_101x3_bitm_Opset17_timm/resnetv2_101x3_bitm_Opset17.tar.gz b/Computer_Vision/resnetv2_101x3_bitm_Opset17_timm/resnetv2_101x3_bitm_Opset17.tar.gz
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diff --git a/Computer_Vision/resnetv2_101x3_bitm_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/resnetv2_101x3_bitm_Opset17_timm/turnkey_stats.yaml
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diff --git a/Computer_Vision/resnetv2_152x2_bit_teacher_384_Opset16_timm/resnetv2_152x2_bit_teacher_384_Opset16.onnx b/Computer_Vision/resnetv2_152x2_bit_teacher_384_Opset16_timm/resnetv2_152x2_bit_teacher_384_Opset16.onnx
new file mode 100644
index 000000000..d2fd69458
--- /dev/null
+++ b/Computer_Vision/resnetv2_152x2_bit_teacher_384_Opset16_timm/resnetv2_152x2_bit_teacher_384_Opset16.onnx
@@ -0,0 +1,3 @@
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diff --git a/Computer_Vision/resnetv2_152x2_bit_teacher_384_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/resnetv2_152x2_bit_teacher_384_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..daabb895a
--- /dev/null
+++ b/Computer_Vision/resnetv2_152x2_bit_teacher_384_Opset16_timm/turnkey_stats.yaml
@@ -0,0 +1,214 @@
+author: timm
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/resnetv2_152x2_bit_teacher_384.py
+class: ResNetV2
+hash: eba08ea2
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+  - 1
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+  - 384
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+  Pad: 1
+  ReduceMean: 465
+  Relu: 151
+  Reshape: 459
+  Shape: 151
+  Slice: 1
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+parameters: 236335208
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diff --git a/Computer_Vision/resnetv2_152x2_bit_teacher_384_Opset17_timm/resnetv2_152x2_bit_teacher_384_Opset17.onnx b/Computer_Vision/resnetv2_152x2_bit_teacher_384_Opset17_timm/resnetv2_152x2_bit_teacher_384_Opset17.onnx
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diff --git a/Computer_Vision/resnetv2_152x2_bit_teacher_384_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/resnetv2_152x2_bit_teacher_384_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..f5d1dfb35
--- /dev/null
+++ b/Computer_Vision/resnetv2_152x2_bit_teacher_384_Opset17_timm/turnkey_stats.yaml
@@ -0,0 +1,214 @@
+author: timm
+builds:
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+    runtime: ort
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+hash: eba08ea2
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+  - 3
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+  - 384
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new file mode 100644
index 000000000..1696ec2a2
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diff --git a/Computer_Vision/resnetv2_152x2_bitm_Opset16_timm/resnetv2_152x2_bitm_Opset16.onnx b/Computer_Vision/resnetv2_152x2_bitm_Opset16_timm/resnetv2_152x2_bitm_Opset16.onnx
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new file mode 100644
index 000000000..75d81f876
--- /dev/null
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diff --git a/Computer_Vision/resnetv2_152x2_bitm_Opset17_timm/resnetv2_152x2_bitm_Opset17.onnx b/Computer_Vision/resnetv2_152x2_bitm_Opset17_timm/resnetv2_152x2_bitm_Opset17.onnx
new file mode 100644
index 000000000..b46dbfec2
--- /dev/null
+++ b/Computer_Vision/resnetv2_152x2_bitm_Opset17_timm/resnetv2_152x2_bitm_Opset17.onnx
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diff --git a/Computer_Vision/resnetv2_152x2_bitm_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/resnetv2_152x2_bitm_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..ec789f627
--- /dev/null
+++ b/Computer_Vision/resnetv2_152x2_bitm_Opset17_timm/turnkey_stats.yaml
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+author: timm
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+    runtime: ort
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+class: ResNetV2
+hash: eba08ea2
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+  ReduceMean: 465
+  Relu: 151
+  Reshape: 459
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+  Slice: 1
+  Sub: 155
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diff --git a/Computer_Vision/resnetv2_152x2_bitm_in21k_Opset16_timm/resnetv2_152x2_bitm_in21k_Opset16.tar.gz b/Computer_Vision/resnetv2_152x2_bitm_in21k_Opset16_timm/resnetv2_152x2_bitm_in21k_Opset16.tar.gz
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diff --git a/Computer_Vision/resnetv2_152x2_bitm_in21k_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/resnetv2_152x2_bitm_in21k_Opset16_timm/turnkey_stats.yaml
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index 000000000..1b41dae16
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+author: timm
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diff --git a/Computer_Vision/resnetv2_152x2_bitm_in21k_Opset17_timm/resnetv2_152x2_bitm_in21k_Opset17.tar.gz b/Computer_Vision/resnetv2_152x2_bitm_in21k_Opset17_timm/resnetv2_152x2_bitm_in21k_Opset17.tar.gz
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diff --git a/Computer_Vision/resnetv2_152x2_bitm_in21k_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/resnetv2_152x2_bitm_in21k_Opset17_timm/turnkey_stats.yaml
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index 000000000..5895d1bb6
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diff --git a/Computer_Vision/resnetv2_50_Opset18_timm/resnetv2_50_Opset18.onnx b/Computer_Vision/resnetv2_50_Opset18_timm/resnetv2_50_Opset18.onnx
new file mode 100644
index 000000000..bbaa56da7
--- /dev/null
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diff --git a/Computer_Vision/resnetv2_50_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/resnetv2_50_Opset18_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..576c543d6
--- /dev/null
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diff --git a/Computer_Vision/resnetv2_50d_evos_Opset16_timm/resnetv2_50d_evos_Opset16.onnx b/Computer_Vision/resnetv2_50d_evos_Opset16_timm/resnetv2_50d_evos_Opset16.onnx
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diff --git a/Computer_Vision/resnetv2_50d_evos_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/resnetv2_50d_evos_Opset16_timm/turnkey_stats.yaml
new file mode 100644
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--- /dev/null
+++ b/Computer_Vision/resnetv2_50d_evos_Opset16_timm/turnkey_stats.yaml
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+author: timm
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diff --git a/Computer_Vision/resnetv2_50d_evos_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/resnetv2_50d_evos_Opset17_timm/turnkey_stats.yaml
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diff --git a/Computer_Vision/resnetv2_50d_gn_Opset17_timm/resnetv2_50d_gn_Opset17.onnx b/Computer_Vision/resnetv2_50d_gn_Opset17_timm/resnetv2_50d_gn_Opset17.onnx
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--- /dev/null
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diff --git a/Computer_Vision/resnetv2_50d_gn_Opset18_timm/resnetv2_50d_gn_Opset18.onnx b/Computer_Vision/resnetv2_50d_gn_Opset18_timm/resnetv2_50d_gn_Opset18.onnx
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--- /dev/null
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diff --git a/Computer_Vision/resnetv2_50d_gn_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/resnetv2_50d_gn_Opset18_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..d3caea437
--- /dev/null
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+author: timm
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+    runtime: ort
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diff --git a/Computer_Vision/resnetv2_50x1_bit_distilled_Opset16_timm/resnetv2_50x1_bit_distilled_Opset16.onnx b/Computer_Vision/resnetv2_50x1_bit_distilled_Opset16_timm/resnetv2_50x1_bit_distilled_Opset16.onnx
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diff --git a/Computer_Vision/resnetv2_50x1_bit_distilled_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/resnetv2_50x1_bit_distilled_Opset16_timm/turnkey_stats.yaml
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--- /dev/null
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@@ -0,0 +1,214 @@
+author: timm
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diff --git a/Computer_Vision/resnetv2_50x1_bit_distilled_Opset17_timm/resnetv2_50x1_bit_distilled_Opset17.onnx b/Computer_Vision/resnetv2_50x1_bit_distilled_Opset17_timm/resnetv2_50x1_bit_distilled_Opset17.onnx
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--- /dev/null
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+  - 224
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diff --git a/Computer_Vision/resnetv2_50x1_bitm_Opset16_timm/resnetv2_50x1_bitm_Opset16.onnx b/Computer_Vision/resnetv2_50x1_bitm_Opset16_timm/resnetv2_50x1_bitm_Opset16.onnx
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diff --git a/Computer_Vision/resnetv2_50x1_bitm_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/resnetv2_50x1_bitm_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..96b34a113
--- /dev/null
+++ b/Computer_Vision/resnetv2_50x1_bitm_Opset16_timm/turnkey_stats.yaml
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+author: timm
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+    runtime: ort
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+hash: 6246da40
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+  - 448
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diff --git a/Computer_Vision/resnetv2_50x1_bitm_Opset17_timm/resnetv2_50x1_bitm_Opset17.onnx b/Computer_Vision/resnetv2_50x1_bitm_Opset17_timm/resnetv2_50x1_bitm_Opset17.onnx
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diff --git a/Computer_Vision/resnetv2_50x1_bitm_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/resnetv2_50x1_bitm_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..70fc81db6
--- /dev/null
+++ b/Computer_Vision/resnetv2_50x1_bitm_Opset17_timm/turnkey_stats.yaml
@@ -0,0 +1,214 @@
+author: timm
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diff --git a/Computer_Vision/resnetv2_50x1_bitm_in21k_Opset16_timm/resnetv2_50x1_bitm_in21k_Opset16.onnx b/Computer_Vision/resnetv2_50x1_bitm_in21k_Opset16_timm/resnetv2_50x1_bitm_in21k_Opset16.onnx
new file mode 100644
index 000000000..bec5f18fc
--- /dev/null
+++ b/Computer_Vision/resnetv2_50x1_bitm_in21k_Opset16_timm/resnetv2_50x1_bitm_in21k_Opset16.onnx
@@ -0,0 +1,3 @@
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diff --git a/Computer_Vision/resnetv2_50x1_bitm_in21k_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/resnetv2_50x1_bitm_in21k_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..9799c0532
--- /dev/null
+++ b/Computer_Vision/resnetv2_50x1_bitm_in21k_Opset16_timm/turnkey_stats.yaml
@@ -0,0 +1,214 @@
+author: timm
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+    runtime: ort
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+class: ResNetV2
+hash: 3a2ddad2
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+  - 1
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+  - 224
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+  Add: 65
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+  Mul: 102
+  Pad: 1
+  ReduceMean: 159
+  Relu: 49
+  Reshape: 153
+  Shape: 49
+  Slice: 1
+  Sub: 53
+  Transpose: 1
+parameters: 68256659
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diff --git a/Computer_Vision/resnetv2_50x1_bitm_in21k_Opset17_timm/resnetv2_50x1_bitm_in21k_Opset17.onnx b/Computer_Vision/resnetv2_50x1_bitm_in21k_Opset17_timm/resnetv2_50x1_bitm_in21k_Opset17.onnx
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diff --git a/Computer_Vision/resnetv2_50x1_bitm_in21k_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/resnetv2_50x1_bitm_in21k_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..dc52ffc85
--- /dev/null
+++ b/Computer_Vision/resnetv2_50x1_bitm_in21k_Opset17_timm/turnkey_stats.yaml
@@ -0,0 +1,214 @@
+author: timm
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+  - 224
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+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
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diff --git a/Computer_Vision/resnetv2_50x3_bitm_Opset16_timm/resnetv2_50x3_bitm_Opset16.onnx b/Computer_Vision/resnetv2_50x3_bitm_Opset16_timm/resnetv2_50x3_bitm_Opset16.onnx
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diff --git a/Computer_Vision/resnetv2_50x3_bitm_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/resnetv2_50x3_bitm_Opset16_timm/turnkey_stats.yaml
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index 000000000..093e21ee6
--- /dev/null
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new file mode 100644
index 000000000..1967a4ba8
--- /dev/null
+++ b/Computer_Vision/resnetv2_50x3_bitm_Opset17_timm/turnkey_stats.yaml
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diff --git a/Computer_Vision/resnetv2_50x3_bitm_in21k_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/resnetv2_50x3_bitm_in21k_Opset16_timm/turnkey_stats.yaml
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diff --git a/Computer_Vision/resnetv2_50x3_bitm_in21k_Opset17_timm/resnetv2_50x3_bitm_in21k_Opset17.tar.gz b/Computer_Vision/resnetv2_50x3_bitm_in21k_Opset17_timm/resnetv2_50x3_bitm_in21k_Opset17.tar.gz
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diff --git a/Computer_Vision/resnetv2_50x3_bitm_in21k_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/resnetv2_50x3_bitm_in21k_Opset17_timm/turnkey_stats.yaml
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+    runtime: ort
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+  OEM System: Virtual Machine
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diff --git a/Computer_Vision/resnext101_32x4d_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/resnext101_32x4d_Opset17_timm/turnkey_stats.yaml
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index 000000000..a2f16d3d8
--- /dev/null
+++ b/Computer_Vision/resnext101_32x4d_Opset17_timm/turnkey_stats.yaml
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--- /dev/null
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diff --git a/Computer_Vision/resnext101_32x8d_Opset16_torch_hub/resnext101_32x8d_Opset16.onnx b/Computer_Vision/resnext101_32x8d_Opset16_torch_hub/resnext101_32x8d_Opset16.onnx
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--- /dev/null
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diff --git a/Computer_Vision/resnext101_32x8d_Opset16_torch_hub/turnkey_stats.yaml b/Computer_Vision/resnext101_32x8d_Opset16_torch_hub/turnkey_stats.yaml
new file mode 100644
index 000000000..4ef3adf31
--- /dev/null
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diff --git a/Computer_Vision/resnext101_32x8d_Opset17_timm/resnext101_32x8d_Opset17.onnx b/Computer_Vision/resnext101_32x8d_Opset17_timm/resnext101_32x8d_Opset17.onnx
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index 000000000..a0ec955c8
--- /dev/null
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diff --git a/Computer_Vision/resnext101_32x8d_Opset17_torch_hub/resnext101_32x8d_Opset17.onnx b/Computer_Vision/resnext101_32x8d_Opset17_torch_hub/resnext101_32x8d_Opset17.onnx
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--- /dev/null
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diff --git a/Computer_Vision/resnext101_32x8d_Opset17_torch_hub/turnkey_stats.yaml b/Computer_Vision/resnext101_32x8d_Opset17_torch_hub/turnkey_stats.yaml
new file mode 100644
index 000000000..3db796a11
--- /dev/null
+++ b/Computer_Vision/resnext101_32x8d_Opset17_torch_hub/turnkey_stats.yaml
@@ -0,0 +1,200 @@
+author: torch_hub
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+  - 224
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diff --git a/Computer_Vision/resnext101_32x8d_Opset18_timm/resnext101_32x8d_Opset18.onnx b/Computer_Vision/resnext101_32x8d_Opset18_timm/resnext101_32x8d_Opset18.onnx
new file mode 100644
index 000000000..1e2d7827d
--- /dev/null
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diff --git a/Computer_Vision/resnext101_32x8d_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/resnext101_32x8d_Opset18_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..39f142664
--- /dev/null
+++ b/Computer_Vision/resnext101_32x8d_Opset18_timm/turnkey_stats.yaml
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/resnext101_32x8d.py
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+parameters: 88791336
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diff --git a/Computer_Vision/resnext101_32x8d_Opset18_torch_hub/resnext101_32x8d_Opset18.onnx b/Computer_Vision/resnext101_32x8d_Opset18_torch_hub/resnext101_32x8d_Opset18.onnx
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--- /dev/null
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diff --git a/Computer_Vision/resnext101_32x8d_Opset18_torch_hub/turnkey_stats.yaml b/Computer_Vision/resnext101_32x8d_Opset18_torch_hub/turnkey_stats.yaml
new file mode 100644
index 000000000..76d3c7a12
--- /dev/null
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diff --git a/Computer_Vision/resnext101_64x4d_Opset16_timm/resnext101_64x4d_Opset16.onnx b/Computer_Vision/resnext101_64x4d_Opset16_timm/resnext101_64x4d_Opset16.onnx
new file mode 100644
index 000000000..73030de6d
--- /dev/null
+++ b/Computer_Vision/resnext101_64x4d_Opset16_timm/resnext101_64x4d_Opset16.onnx
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diff --git a/Computer_Vision/resnext101_64x4d_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/resnext101_64x4d_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..d39bcb707
--- /dev/null
+++ b/Computer_Vision/resnext101_64x4d_Opset16_timm/turnkey_stats.yaml
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/resnext101_64x4d.py
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+hash: 14edb4a4
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+  - 1
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+  - 224
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diff --git a/Computer_Vision/resnext101_64x4d_Opset17_timm/resnext101_64x4d_Opset17.onnx b/Computer_Vision/resnext101_64x4d_Opset17_timm/resnext101_64x4d_Opset17.onnx
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new file mode 100644
index 000000000..e0f2e1599
--- /dev/null
+++ b/Computer_Vision/resnext101_64x4d_Opset17_timm/turnkey_stats.yaml
@@ -0,0 +1,200 @@
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+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/resnext101_64x4d.py
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diff --git a/Computer_Vision/resnext101_64x4d_Opset18_timm/resnext101_64x4d_Opset18.onnx b/Computer_Vision/resnext101_64x4d_Opset18_timm/resnext101_64x4d_Opset18.onnx
new file mode 100644
index 000000000..ed2aeafee
--- /dev/null
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diff --git a/Computer_Vision/resnext101_64x4d_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/resnext101_64x4d_Opset18_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..1fed78068
--- /dev/null
+++ b/Computer_Vision/resnext101_64x4d_Opset18_timm/turnkey_stats.yaml
@@ -0,0 +1,200 @@
+author: timm
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/resnext101_64x4d.py
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+  - 224
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+  - xxhash==3.4.1
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+  - yarl==1.9.2
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diff --git a/Computer_Vision/resnext26ts_Opset16_timm/resnext26ts_Opset16.onnx b/Computer_Vision/resnext26ts_Opset16_timm/resnext26ts_Opset16.onnx
new file mode 100644
index 000000000..0fffcaaf7
--- /dev/null
+++ b/Computer_Vision/resnext26ts_Opset16_timm/resnext26ts_Opset16.onnx
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f056d2917eeb4115f24e23173528e2dd6ab9c1948f727df1ad90237545a82068
+size 41153171
diff --git a/Computer_Vision/resnext26ts_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/resnext26ts_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..1d89aed85
--- /dev/null
+++ b/Computer_Vision/resnext26ts_Opset16_timm/turnkey_stats.yaml
@@ -0,0 +1,201 @@
+author: timm
+builds:
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+    - set_success
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+      set_success: 0.01578354835510254
+    device_type: x86
+    iterations: 100
+    onnx_file: /home/azureuser/.cache/turnkey/resnext26ts_timm_21d505b3/onnx/resnext26ts_timm_21d505b3-op16-base.onnx
+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/resnext26ts.py
+class: ByobNet
+hash: 423d5a25
+model_name: resnext26ts
+onnx_input_dimensions:
+  x:
+  - 1
+  - 3
+  - 256
+  - 256
+onnx_model_information:
+  ir_version: 8
+  opset: 16
+  size on disk (KiB): 40188.6758
+onnx_ops_counter:
+  Add: 8
+  Conv: 31
+  Flatten: 1
+  Gemm: 1
+  GlobalAveragePool: 1
+  MaxPool: 1
+  Mul: 27
+  Sigmoid: 27
+parameters: 10297952
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+  Memory Info: 62.79 GB
+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
+  Processor: Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
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+task: Computer_Vision
diff --git a/Computer_Vision/resnext26ts_Opset17_timm/resnext26ts_Opset17.onnx b/Computer_Vision/resnext26ts_Opset17_timm/resnext26ts_Opset17.onnx
new file mode 100644
index 000000000..28b6706e3
--- /dev/null
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+version https://git-lfs.github.com/spec/v1
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diff --git a/Computer_Vision/resnext26ts_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/resnext26ts_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..cbf36f829
--- /dev/null
+++ b/Computer_Vision/resnext26ts_Opset17_timm/turnkey_stats.yaml
@@ -0,0 +1,201 @@
+author: timm
+builds:
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+    - set_success
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+      set_success: 0.016974925994873047
+    device_type: x86
+    iterations: 100
+    onnx_file: /home/azureuser/.cache/turnkey/resnext26ts_timm_21d505b3/onnx/resnext26ts_timm_21d505b3-op17-base.onnx
+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/resnext26ts.py
+class: ByobNet
+hash: 423d5a25
+model_name: resnext26ts
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+  x:
+  - 1
+  - 3
+  - 256
+  - 256
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+  opset: 17
+  size on disk (KiB): 40188.6758
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+  Conv: 31
+  Flatten: 1
+  Gemm: 1
+  GlobalAveragePool: 1
+  MaxPool: 1
+  Mul: 27
+  Sigmoid: 27
+parameters: 10297952
+system_info:
+  Memory Info: 62.79 GB
+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
+  Processor: Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
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new file mode 100644
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--- /dev/null
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diff --git a/Computer_Vision/resnext26ts_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/resnext26ts_Opset18_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..425d7be33
--- /dev/null
+++ b/Computer_Vision/resnext26ts_Opset18_timm/turnkey_stats.yaml
@@ -0,0 +1,201 @@
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+  - 256
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diff --git a/Computer_Vision/resnext50_32x4d_Opset16_torch_hub/resnext50_32x4d_Opset16.onnx b/Computer_Vision/resnext50_32x4d_Opset16_torch_hub/resnext50_32x4d_Opset16.onnx
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diff --git a/Computer_Vision/resnext50_32x4d_Opset17_timm/resnext50_32x4d_Opset17.onnx b/Computer_Vision/resnext50_32x4d_Opset17_timm/resnext50_32x4d_Opset17.onnx
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index 000000000..c05ee63ce
--- /dev/null
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diff --git a/Computer_Vision/resnext50_32x4d_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/resnext50_32x4d_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..74d55618e
--- /dev/null
+++ b/Computer_Vision/resnext50_32x4d_Opset17_timm/turnkey_stats.yaml
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+    runtime: ort
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diff --git a/Computer_Vision/resnext50_32x4d_Opset17_torch_hub/resnext50_32x4d_Opset17.onnx b/Computer_Vision/resnext50_32x4d_Opset17_torch_hub/resnext50_32x4d_Opset17.onnx
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diff --git a/Computer_Vision/resnext50_32x4d_Opset17_torch_hub/turnkey_stats.yaml b/Computer_Vision/resnext50_32x4d_Opset17_torch_hub/turnkey_stats.yaml
new file mode 100644
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--- /dev/null
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diff --git a/Computer_Vision/resnext50_32x4d_Opset18_timm/resnext50_32x4d_Opset18.onnx b/Computer_Vision/resnext50_32x4d_Opset18_timm/resnext50_32x4d_Opset18.onnx
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--- /dev/null
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diff --git a/Computer_Vision/resnext50_32x4d_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/resnext50_32x4d_Opset18_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..8c3ffbf1c
--- /dev/null
+++ b/Computer_Vision/resnext50_32x4d_Opset18_timm/turnkey_stats.yaml
@@ -0,0 +1,200 @@
+author: timm
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+  Add: 16
+  Conv: 53
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+  MaxPool: 1
+  Relu: 49
+parameters: 25028904
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+  OEM System: Virtual Machine
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diff --git a/Computer_Vision/resnext50_32x4d_Opset18_torch_hub/resnext50_32x4d_Opset18.onnx b/Computer_Vision/resnext50_32x4d_Opset18_torch_hub/resnext50_32x4d_Opset18.onnx
new file mode 100644
index 000000000..625bfd977
--- /dev/null
+++ b/Computer_Vision/resnext50_32x4d_Opset18_torch_hub/resnext50_32x4d_Opset18.onnx
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f412ffb7f1295d1454dfec0220eaf72d2567e37e4b80dede54655d5745374cb1
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diff --git a/Computer_Vision/resnext50_32x4d_Opset18_torch_hub/turnkey_stats.yaml b/Computer_Vision/resnext50_32x4d_Opset18_torch_hub/turnkey_stats.yaml
new file mode 100644
index 000000000..6f946590f
--- /dev/null
+++ b/Computer_Vision/resnext50_32x4d_Opset18_torch_hub/turnkey_stats.yaml
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+author: torch_hub
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+      set_success: 0.02283787727355957
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/torch_hub/resnext50_32x4d.py
+class: ResNet
+hash: ce6f3fb8
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+  - 1
+  - 3
+  - 224
+  - 224
+onnx_model_information:
+  ir_version: 8
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+  size on disk (KiB): 97659.8213
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+  Add: 16
+  Conv: 53
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+  MaxPool: 1
+  Relu: 49
+parameters: 25028904
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+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
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diff --git a/Computer_Vision/resnext50d_32x4d_Opset16_timm/resnext50d_32x4d_Opset16.onnx b/Computer_Vision/resnext50d_32x4d_Opset16_timm/resnext50d_32x4d_Opset16.onnx
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diff --git a/Computer_Vision/resnext50d_32x4d_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/resnext50d_32x4d_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..41b265dab
--- /dev/null
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+author: timm
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+      set_success: 0.017127275466918945
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+    runtime: ort
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+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
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diff --git a/Computer_Vision/resnext50d_32x4d_Opset17_timm/resnext50d_32x4d_Opset17.onnx b/Computer_Vision/resnext50d_32x4d_Opset17_timm/resnext50d_32x4d_Opset17.onnx
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diff --git a/Computer_Vision/resnext50d_32x4d_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/resnext50d_32x4d_Opset17_timm/turnkey_stats.yaml
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+  - safetensors==0.4.0
+  - scikit-learn==1.1.1
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+  - sentry-sdk==1.34.0
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+  - skl2onnx==1.15.0
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+  - typeguard==4.1.5
+  - typing-extensions==4.8.0
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+  - xxhash==3.4.1
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diff --git a/Computer_Vision/retinanet_resnet50_fpn_v2_Opset17_torchvision/retinanet_resnet50_fpn_v2_Opset17.onnx b/Computer_Vision/retinanet_resnet50_fpn_v2_Opset17_torchvision/retinanet_resnet50_fpn_v2_Opset17.onnx
new file mode 100644
index 000000000..bacfc0010
--- /dev/null
+++ b/Computer_Vision/retinanet_resnet50_fpn_v2_Opset17_torchvision/retinanet_resnet50_fpn_v2_Opset17.onnx
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c3abb1f44cba2d78b7cb9e83e55c9ab77945492a5903e51435c0d2d6461560a5
+size 153037049
diff --git a/Computer_Vision/retinanet_resnet50_fpn_v2_Opset17_torchvision/turnkey_stats.yaml b/Computer_Vision/retinanet_resnet50_fpn_v2_Opset17_torchvision/turnkey_stats.yaml
new file mode 100644
index 000000000..ec1d0b0a4
--- /dev/null
+++ b/Computer_Vision/retinanet_resnet50_fpn_v2_Opset17_torchvision/turnkey_stats.yaml
@@ -0,0 +1,242 @@
+author: torchvision
+builds:
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+    - export_pytorch
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+      set_success: 0.024262428283691406
+    device_type: x86
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+    onnx_file: /home/azureuser/.cache/turnkey/retinanet_resnet50_fpn_v2_torchvision_63ae293c/onnx/retinanet_resnet50_fpn_v2_torchvision_63ae293c-op17-base.onnx
+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/torchvision/retinanet_resnet50_fpn_v2.py
+class: RetinaNet
+hash: bc30c272
+model_name: retinanet_resnet50_fpn_v2
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+  - 1
+  - 3
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+  - 224
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+  size on disk (KiB): 149450.2754
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+  TopK: 5
+  Transpose: 21
+  Unsqueeze: 161
+  Where: 5
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+parameters: 38198935
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+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
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+task: Computer_Vision
diff --git a/Computer_Vision/retinanet_resnet50_fpn_v2_Opset18_torchvision/retinanet_resnet50_fpn_v2_Opset18.onnx b/Computer_Vision/retinanet_resnet50_fpn_v2_Opset18_torchvision/retinanet_resnet50_fpn_v2_Opset18.onnx
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index 000000000..b46a2b2e7
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diff --git a/Computer_Vision/retinanet_resnet50_fpn_v2_Opset18_torchvision/turnkey_stats.yaml b/Computer_Vision/retinanet_resnet50_fpn_v2_Opset18_torchvision/turnkey_stats.yaml
new file mode 100644
index 000000000..e3503ce7f
--- /dev/null
+++ b/Computer_Vision/retinanet_resnet50_fpn_v2_Opset18_torchvision/turnkey_stats.yaml
@@ -0,0 +1,242 @@
+author: torchvision
+builds:
+  x86_ort:
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+    - export_pytorch
+    - set_success
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+      set_success: 0.025531768798828125
+    device_type: x86
+    iterations: 100
+    onnx_file: /home/azureuser/.cache/turnkey/retinanet_resnet50_fpn_v2_torchvision_63ae293c/onnx/retinanet_resnet50_fpn_v2_torchvision_63ae293c-op18-base.onnx
+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/torchvision/retinanet_resnet50_fpn_v2.py
+class: RetinaNet
+hash: bc30c272
+model_name: retinanet_resnet50_fpn_v2
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+  - 3
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+  - 224
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+  Memory Info: 62.79 GB
+  OEM System: Virtual Machine
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new file mode 100644
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--- /dev/null
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diff --git a/Computer_Vision/rexnet_100_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/rexnet_100_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..40956d402
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new file mode 100644
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diff --git a/Computer_Vision/rexnet_130_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/rexnet_130_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..819d8a140
--- /dev/null
+++ b/Computer_Vision/rexnet_130_Opset16_timm/turnkey_stats.yaml
@@ -0,0 +1,206 @@
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new file mode 100644
index 000000000..b7547e058
--- /dev/null
+++ b/Computer_Vision/rexnet_130_Opset17_timm/rexnet_130_Opset17.onnx
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diff --git a/Computer_Vision/rexnet_130_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/rexnet_130_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..04b401293
--- /dev/null
+++ b/Computer_Vision/rexnet_130_Opset17_timm/turnkey_stats.yaml
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+author: timm
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index 000000000..9250fc9b2
--- /dev/null
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new file mode 100644
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--- /dev/null
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diff --git a/Computer_Vision/rexnet_150_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/rexnet_150_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..ad74fb5ea
--- /dev/null
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index 000000000..a26b6d2a7
--- /dev/null
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diff --git a/Computer_Vision/rexnetr_200_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/rexnetr_200_Opset16_timm/turnkey_stats.yaml
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index 000000000..bf5435224
--- /dev/null
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index 000000000..46cd9bba9
--- /dev/null
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+author: timm
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diff --git a/Computer_Vision/sebotnet33ts_256_Opset16_timm/sebotnet33ts_256_Opset16.onnx b/Computer_Vision/sebotnet33ts_256_Opset16_timm/sebotnet33ts_256_Opset16.onnx
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diff --git a/Computer_Vision/sebotnet33ts_256_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/sebotnet33ts_256_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..e5affc126
--- /dev/null
+++ b/Computer_Vision/sebotnet33ts_256_Opset16_timm/turnkey_stats.yaml
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+author: timm
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+      set_success: 0.018520355224609375
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/sebotnet33ts_256.py
+class: ByobNet
+hash: 120807c1
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+  x:
+  - 1
+  - 3
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+  - 256
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+  Reshape: 80
+  Sigmoid: 40
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+  Softmax: 4
+  Split: 4
+  Transpose: 40
+  Where: 8
+parameters: 13701984
+system_info:
+  Memory Info: 62.79 GB
+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
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diff --git a/Computer_Vision/sebotnet33ts_256_Opset17_timm/sebotnet33ts_256_Opset17.onnx b/Computer_Vision/sebotnet33ts_256_Opset17_timm/sebotnet33ts_256_Opset17.onnx
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index 000000000..6768a9acb
--- /dev/null
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diff --git a/Computer_Vision/sebotnet33ts_256_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/sebotnet33ts_256_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..d531f98a0
--- /dev/null
+++ b/Computer_Vision/sebotnet33ts_256_Opset17_timm/turnkey_stats.yaml
@@ -0,0 +1,218 @@
+author: timm
+builds:
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/sebotnet33ts_256.py
+class: ByobNet
+hash: 120807c1
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+  - 1
+  - 3
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+  - 256
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+  Softmax: 4
+  Split: 4
+  Transpose: 40
+  Where: 8
+parameters: 13701984
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+  OEM System: Virtual Machine
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diff --git a/Computer_Vision/selecsls42b_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/selecsls42b_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..1f9a2e843
--- /dev/null
+++ b/Computer_Vision/selecsls42b_Opset16_timm/turnkey_stats.yaml
@@ -0,0 +1,199 @@
+author: timm
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+  OEM System: Virtual Machine
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diff --git a/Computer_Vision/selecsls42b_Opset17_timm/selecsls42b_Opset17.onnx b/Computer_Vision/selecsls42b_Opset17_timm/selecsls42b_Opset17.onnx
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index 000000000..65be06965
--- /dev/null
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diff --git a/Computer_Vision/selecsls42b_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/selecsls42b_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..10795ad9f
--- /dev/null
+++ b/Computer_Vision/selecsls42b_Opset17_timm/turnkey_stats.yaml
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diff --git a/Computer_Vision/selecsls42b_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/selecsls42b_Opset18_timm/turnkey_stats.yaml
new file mode 100644
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--- /dev/null
+++ b/Computer_Vision/selecsls42b_Opset18_timm/turnkey_stats.yaml
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+author: timm
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diff --git a/Computer_Vision/selecsls60_Opset16_timm/selecsls60_Opset16.onnx b/Computer_Vision/selecsls60_Opset16_timm/selecsls60_Opset16.onnx
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--- /dev/null
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diff --git a/Computer_Vision/selecsls60_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/selecsls60_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..964692a82
--- /dev/null
+++ b/Computer_Vision/selecsls60_Opset16_timm/turnkey_stats.yaml
@@ -0,0 +1,199 @@
+author: timm
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+  - 3
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+  - 224
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+  size on disk (KiB): 119788.2793
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+  Conv: 59
+  Flatten: 1
+  Gemm: 1
+  GlobalAveragePool: 1
+  Relu: 59
+parameters: 30670768
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+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
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+  - xxhash==3.4.1
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+  - yarl==1.9.2
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diff --git a/Computer_Vision/selecsls60_Opset17_timm/selecsls60_Opset17.onnx b/Computer_Vision/selecsls60_Opset17_timm/selecsls60_Opset17.onnx
new file mode 100644
index 000000000..f2f96ed7e
--- /dev/null
+++ b/Computer_Vision/selecsls60_Opset17_timm/selecsls60_Opset17.onnx
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
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+size 122663165
diff --git a/Computer_Vision/selecsls60_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/selecsls60_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..74021d147
--- /dev/null
+++ b/Computer_Vision/selecsls60_Opset17_timm/turnkey_stats.yaml
@@ -0,0 +1,199 @@
+author: timm
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+      set_success: 0.014784097671508789
+    device_type: x86
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+    onnx_file: /home/azureuser/.cache/turnkey/selecsls60_timm_a6c81aa3/onnx/selecsls60_timm_a6c81aa3-op17-base.onnx
+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/selecsls60.py
+class: SelecSls
+hash: 9bee7142
+model_name: selecsls60
+onnx_input_dimensions:
+  x:
+  - 1
+  - 3
+  - 224
+  - 224
+onnx_model_information:
+  ir_version: 8
+  opset: 17
+  size on disk (KiB): 119788.2793
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+  Concat: 9
+  Conv: 59
+  Flatten: 1
+  Gemm: 1
+  GlobalAveragePool: 1
+  Relu: 59
+parameters: 30670768
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+  Memory Info: 62.79 GB
+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
+  Processor: Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
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diff --git a/Computer_Vision/selecsls60_Opset18_timm/selecsls60_Opset18.onnx b/Computer_Vision/selecsls60_Opset18_timm/selecsls60_Opset18.onnx
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diff --git a/Computer_Vision/selecsls60_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/selecsls60_Opset18_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..18e2fde1f
--- /dev/null
+++ b/Computer_Vision/selecsls60_Opset18_timm/turnkey_stats.yaml
@@ -0,0 +1,199 @@
+author: timm
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+      set_success: 0.017039775848388672
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+    onnx_file: /home/azureuser/.cache/turnkey/selecsls60_timm_a6c81aa3/onnx/selecsls60_timm_a6c81aa3-op18-base.onnx
+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/selecsls60.py
+class: SelecSls
+hash: 9bee7142
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+  - 1
+  - 3
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+  - 224
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+  Conv: 59
+  Flatten: 1
+  Gemm: 1
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+  Relu: 59
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+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
+  Processor: Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
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+  - timm==0.9.8
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+  - xxhash==3.4.1
+  - yacs==0.1.8
+  - yarl==1.9.2
+  - zipp==3.17.0
+task: Computer_Vision
diff --git a/Computer_Vision/selecsls60b_Opset16_timm/selecsls60b_Opset16.onnx b/Computer_Vision/selecsls60b_Opset16_timm/selecsls60b_Opset16.onnx
new file mode 100644
index 000000000..bfb0ab935
--- /dev/null
+++ b/Computer_Vision/selecsls60b_Opset16_timm/selecsls60b_Opset16.onnx
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
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diff --git a/Computer_Vision/selecsls60b_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/selecsls60b_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..d6d938aa3
--- /dev/null
+++ b/Computer_Vision/selecsls60b_Opset16_timm/turnkey_stats.yaml
@@ -0,0 +1,199 @@
+author: timm
+builds:
+  x86_ort:
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+      set_success: 0.01657843589782715
+    device_type: x86
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+    onnx_file: /home/azureuser/.cache/turnkey/selecsls60b_timm_1a813d3e/onnx/selecsls60b_timm_1a813d3e-op16-base.onnx
+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/selecsls60b.py
+class: SelecSls
+hash: eb61f330
+model_name: selecsls60b
+onnx_input_dimensions:
+  x:
+  - 1
+  - 3
+  - 224
+  - 224
+onnx_model_information:
+  ir_version: 8
+  opset: 16
+  size on disk (KiB): 128004.2793
+onnx_ops_counter:
+  Concat: 9
+  Conv: 59
+  Flatten: 1
+  Gemm: 1
+  GlobalAveragePool: 1
+  Relu: 59
+parameters: 32774064
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+  Memory Info: 62.79 GB
+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
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+task: Computer_Vision
diff --git a/Computer_Vision/selecsls60b_Opset17_timm/selecsls60b_Opset17.onnx b/Computer_Vision/selecsls60b_Opset17_timm/selecsls60b_Opset17.onnx
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index 000000000..403ef94a9
--- /dev/null
+++ b/Computer_Vision/selecsls60b_Opset17_timm/selecsls60b_Opset17.onnx
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diff --git a/Computer_Vision/selecsls60b_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/selecsls60b_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..ab7d81b48
--- /dev/null
+++ b/Computer_Vision/selecsls60b_Opset17_timm/turnkey_stats.yaml
@@ -0,0 +1,199 @@
+author: timm
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+      set_success: 0.01662468910217285
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/selecsls60b.py
+class: SelecSls
+hash: eb61f330
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+  x:
+  - 1
+  - 3
+  - 224
+  - 224
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+  Conv: 59
+  Flatten: 1
+  Gemm: 1
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+  Relu: 59
+parameters: 32774064
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+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
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diff --git a/Computer_Vision/selecsls60b_Opset18_timm/selecsls60b_Opset18.onnx b/Computer_Vision/selecsls60b_Opset18_timm/selecsls60b_Opset18.onnx
new file mode 100644
index 000000000..bc857f329
--- /dev/null
+++ b/Computer_Vision/selecsls60b_Opset18_timm/selecsls60b_Opset18.onnx
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+version https://git-lfs.github.com/spec/v1
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diff --git a/Computer_Vision/selecsls60b_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/selecsls60b_Opset18_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..79d4ac468
--- /dev/null
+++ b/Computer_Vision/selecsls60b_Opset18_timm/turnkey_stats.yaml
@@ -0,0 +1,199 @@
+author: timm
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+    - set_success
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/selecsls60b.py
+class: SelecSls
+hash: eb61f330
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+  - 1
+  - 3
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+  - 224
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+  size on disk (KiB): 128004.2793
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+  Conv: 59
+  Flatten: 1
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+  Relu: 59
+parameters: 32774064
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+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
+  Processor: Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
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diff --git a/Computer_Vision/semnasnet_075_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/semnasnet_075_Opset16_timm/turnkey_stats.yaml
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index 000000000..425de0a8a
--- /dev/null
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index 000000000..d79407998
--- /dev/null
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+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/semnasnet_075.py
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diff --git a/Computer_Vision/semnasnet_100_Opset16_timm/semnasnet_100_Opset16.onnx b/Computer_Vision/semnasnet_100_Opset16_timm/semnasnet_100_Opset16.onnx
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diff --git a/Computer_Vision/semnasnet_100_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/semnasnet_100_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..a6d633c43
--- /dev/null
+++ b/Computer_Vision/semnasnet_100_Opset16_timm/turnkey_stats.yaml
@@ -0,0 +1,202 @@
+author: timm
+builds:
+  x86_ort:
+    all_build_stages:
+    - export_pytorch
+    - set_success
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+      set_success: 0.016510486602783203
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+    iterations: 100
+    onnx_file: /home/azureuser/.cache/turnkey/semnasnet_100_timm_f720e9d0/onnx/semnasnet_100_timm_f720e9d0-op16-base.onnx
+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/semnasnet_100.py
+class: EfficientNet
+hash: e1760261
+model_name: semnasnet_100
+onnx_input_dimensions:
+  x:
+  - 1
+  - 3
+  - 224
+  - 224
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+  ir_version: 8
+  opset: 16
+  size on disk (KiB): 15153.4912
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+  Add: 9
+  Conv: 65
+  Flatten: 1
+  Gemm: 1
+  GlobalAveragePool: 1
+  Mul: 8
+  ReduceMean: 8
+  Relu: 41
+  Sigmoid: 8
+parameters: 3887038
+system_info:
+  Memory Info: 62.79 GB
+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
+  Processor: Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
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diff --git a/Computer_Vision/semnasnet_100_Opset17_timm/semnasnet_100_Opset17.onnx b/Computer_Vision/semnasnet_100_Opset17_timm/semnasnet_100_Opset17.onnx
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index 000000000..9aed9a2f0
--- /dev/null
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diff --git a/Computer_Vision/semnasnet_100_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/semnasnet_100_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..dfecbd459
--- /dev/null
+++ b/Computer_Vision/semnasnet_100_Opset17_timm/turnkey_stats.yaml
@@ -0,0 +1,202 @@
+author: timm
+builds:
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+      set_success: 0.014966964721679688
+    device_type: x86
+    iterations: 100
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/semnasnet_100.py
+class: EfficientNet
+hash: e1760261
+model_name: semnasnet_100
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+  x:
+  - 1
+  - 3
+  - 224
+  - 224
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+  opset: 17
+  size on disk (KiB): 15153.4912
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+  Add: 9
+  Conv: 65
+  Flatten: 1
+  Gemm: 1
+  GlobalAveragePool: 1
+  Mul: 8
+  ReduceMean: 8
+  Relu: 41
+  Sigmoid: 8
+parameters: 3887038
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+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
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diff --git a/Computer_Vision/senet154_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/senet154_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..7fbd3301e
--- /dev/null
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+author: timm
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+    runtime: ort
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+  ReduceMean: 50
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+  OEM System: Virtual Machine
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diff --git a/Computer_Vision/sequencer2d_l_Opset17_timm/sequencer2d_l_Opset17.onnx b/Computer_Vision/sequencer2d_l_Opset17_timm/sequencer2d_l_Opset17.onnx
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index 000000000..20640f12d
--- /dev/null
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diff --git a/Computer_Vision/sequencer2d_m_Opset16_timm/sequencer2d_m_Opset16.onnx b/Computer_Vision/sequencer2d_m_Opset16_timm/sequencer2d_m_Opset16.onnx
new file mode 100644
index 000000000..754033128
--- /dev/null
+++ b/Computer_Vision/sequencer2d_m_Opset16_timm/sequencer2d_m_Opset16.onnx
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
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+size 154337221
diff --git a/Computer_Vision/sequencer2d_m_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/sequencer2d_m_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..f037fa498
--- /dev/null
+++ b/Computer_Vision/sequencer2d_m_Opset16_timm/turnkey_stats.yaml
@@ -0,0 +1,213 @@
+author: timm
+builds:
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+      set_success: 0.021035194396972656
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/sequencer2d_m.py
+class: Sequencer2d
+hash: dc1902cf
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+  - 1
+  - 3
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+  - 224
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+  ir_version: 8
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+  size on disk (KiB): 150719.9746
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+  Add: 242
+  Concat: 120
+  Constant: 746
+  Conv: 4
+  Div: 73
+  Erf: 24
+  Expand: 96
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+  Gemm: 1
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+  Mul: 97
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+  ReduceMean: 99
+  Reshape: 144
+  Shape: 96
+  Sqrt: 49
+  Sub: 49
+  Transpose: 199
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diff --git a/Computer_Vision/sequencer2d_m_Opset17_timm/sequencer2d_m_Opset17.onnx b/Computer_Vision/sequencer2d_m_Opset17_timm/sequencer2d_m_Opset17.onnx
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diff --git a/Computer_Vision/sequencer2d_m_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/sequencer2d_m_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..f6f2473b5
--- /dev/null
+++ b/Computer_Vision/sequencer2d_m_Opset17_timm/turnkey_stats.yaml
@@ -0,0 +1,211 @@
+author: timm
+builds:
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+hash: dc1902cf
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+  - 224
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+  Concat: 120
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+  MatMul: 72
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+  ReduceMean: 1
+  Reshape: 144
+  Shape: 96
+  Transpose: 199
+  Unsqueeze: 96
+parameters: 38307688
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+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
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diff --git a/Computer_Vision/seresnet152d_Opset17_timm/seresnet152d_Opset17.onnx b/Computer_Vision/seresnet152d_Opset17_timm/seresnet152d_Opset17.onnx
new file mode 100644
index 000000000..a3febb9e0
--- /dev/null
+++ b/Computer_Vision/seresnet152d_Opset17_timm/seresnet152d_Opset17.onnx
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diff --git a/Computer_Vision/seresnet152d_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/seresnet152d_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..de3916b70
--- /dev/null
+++ b/Computer_Vision/seresnet152d_Opset17_timm/turnkey_stats.yaml
@@ -0,0 +1,204 @@
+author: timm
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/seresnet152d.py
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+hash: 1779c87b
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+  - 1
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+  MaxPool: 1
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+  Sigmoid: 50
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+task: Computer_Vision
diff --git a/Computer_Vision/seresnet33ts_Opset16_timm/seresnet33ts_Opset16.onnx b/Computer_Vision/seresnet33ts_Opset16_timm/seresnet33ts_Opset16.onnx
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+version https://git-lfs.github.com/spec/v1
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diff --git a/Computer_Vision/seresnet33ts_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/seresnet33ts_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..2891f868e
--- /dev/null
+++ b/Computer_Vision/seresnet33ts_Opset16_timm/turnkey_stats.yaml
@@ -0,0 +1,202 @@
+author: timm
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+      set_success: 0.016326427459716797
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/seresnet33ts.py
+class: ByobNet
+hash: c5ed3d1f
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+  Conv: 58
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+  Relu: 10
+  Sigmoid: 44
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+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
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diff --git a/Computer_Vision/seresnet33ts_Opset17_timm/seresnet33ts_Opset17.onnx b/Computer_Vision/seresnet33ts_Opset17_timm/seresnet33ts_Opset17.onnx
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index 000000000..08b0e7e9c
--- /dev/null
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index 000000000..920ed6e08
--- /dev/null
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index 000000000..5c9b9d087
--- /dev/null
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diff --git a/Computer_Vision/seresnext101_32x4d_Opset16_timm/seresnext101_32x4d_Opset16.onnx b/Computer_Vision/seresnext101_32x4d_Opset16_timm/seresnext101_32x4d_Opset16.onnx
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--- /dev/null
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diff --git a/Computer_Vision/seresnext101_32x4d_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/seresnext101_32x4d_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..e3ed5b187
--- /dev/null
+++ b/Computer_Vision/seresnext101_32x4d_Opset16_timm/turnkey_stats.yaml
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diff --git a/Computer_Vision/seresnext101_32x4d_Opset17_timm/seresnext101_32x4d_Opset17.onnx b/Computer_Vision/seresnext101_32x4d_Opset17_timm/seresnext101_32x4d_Opset17.onnx
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new file mode 100644
index 000000000..020c93974
--- /dev/null
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diff --git a/Computer_Vision/seresnext101_32x8d_Opset16_timm/seresnext101_32x8d_Opset16.onnx b/Computer_Vision/seresnext101_32x8d_Opset16_timm/seresnext101_32x8d_Opset16.onnx
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diff --git a/Computer_Vision/seresnext101_32x8d_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/seresnext101_32x8d_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..ddc652e26
--- /dev/null
+++ b/Computer_Vision/seresnext101_32x8d_Opset16_timm/turnkey_stats.yaml
@@ -0,0 +1,203 @@
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+  Sigmoid: 33
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diff --git a/Computer_Vision/seresnext101_32x8d_Opset17_timm/seresnext101_32x8d_Opset17.onnx b/Computer_Vision/seresnext101_32x8d_Opset17_timm/seresnext101_32x8d_Opset17.onnx
new file mode 100644
index 000000000..22349bb60
--- /dev/null
+++ b/Computer_Vision/seresnext101_32x8d_Opset17_timm/seresnext101_32x8d_Opset17.onnx
@@ -0,0 +1,3 @@
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diff --git a/Computer_Vision/seresnext101_32x8d_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/seresnext101_32x8d_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..70bac80fd
--- /dev/null
+++ b/Computer_Vision/seresnext101_32x8d_Opset17_timm/turnkey_stats.yaml
@@ -0,0 +1,203 @@
+author: timm
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/seresnext101_32x8d.py
+class: ResNet
+hash: d934f031
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+  - 1
+  - 3
+  - 224
+  - 224
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+  ir_version: 8
+  opset: 17
+  size on disk (KiB): 365194.5039
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+  Add: 33
+  Conv: 170
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+  MaxPool: 1
+  Mul: 33
+  ReduceMean: 33
+  Relu: 133
+  Sigmoid: 33
+parameters: 93569048
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diff --git a/Computer_Vision/seresnext101d_32x8d_Opset16_timm/seresnext101d_32x8d_Opset16.onnx b/Computer_Vision/seresnext101d_32x8d_Opset16_timm/seresnext101d_32x8d_Opset16.onnx
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diff --git a/Computer_Vision/seresnext101d_32x8d_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/seresnext101d_32x8d_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..502e4e9b3
--- /dev/null
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+author: timm
+builds:
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+    runtime: ort
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+hash: 20bb2572
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+  - 224
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+  MaxPool: 1
+  Mul: 33
+  ReduceMean: 33
+  Relu: 135
+  Sigmoid: 33
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+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
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diff --git a/Computer_Vision/seresnext101d_32x8d_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/seresnext101d_32x8d_Opset17_timm/turnkey_stats.yaml
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index 000000000..1d74bbd1a
--- /dev/null
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diff --git a/Computer_Vision/seresnext26d_32x4d_Opset17_timm/seresnext26d_32x4d_Opset17.onnx b/Computer_Vision/seresnext26d_32x4d_Opset17_timm/seresnext26d_32x4d_Opset17.onnx
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--- /dev/null
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+author: timm
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+task: Computer_Vision
diff --git a/Computer_Vision/seresnext26t_32x4d_Opset16_timm/seresnext26t_32x4d_Opset16.onnx b/Computer_Vision/seresnext26t_32x4d_Opset16_timm/seresnext26t_32x4d_Opset16.onnx
new file mode 100644
index 000000000..14c0e3dee
--- /dev/null
+++ b/Computer_Vision/seresnext26t_32x4d_Opset16_timm/seresnext26t_32x4d_Opset16.onnx
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
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+size 67175340
diff --git a/Computer_Vision/seresnext26t_32x4d_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/seresnext26t_32x4d_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..c15a69405
--- /dev/null
+++ b/Computer_Vision/seresnext26t_32x4d_Opset16_timm/turnkey_stats.yaml
@@ -0,0 +1,204 @@
+author: timm
+builds:
+  x86_ort:
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+      set_success: 0.01606130599975586
+    device_type: x86
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+    onnx_file: /home/azureuser/.cache/turnkey/seresnext26t_32x4d_timm_604ec4cb/onnx/seresnext26t_32x4d_timm_604ec4cb-op16-base.onnx
+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/seresnext26t_32x4d.py
+class: ResNet
+hash: '69455895'
+model_name: seresnext26t_32x4d
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+  x:
+  - 1
+  - 3
+  - 224
+  - 224
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+  opset: 16
+  size on disk (KiB): 65600.9502
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+  Add: 8
+  AveragePool: 3
+  Conv: 47
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+  Gemm: 1
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+  MaxPool: 1
+  Mul: 8
+  ReduceMean: 8
+  Relu: 35
+  Sigmoid: 8
+parameters: 16806976
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+  OEM System: Virtual Machine
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diff --git a/Computer_Vision/seresnext26t_32x4d_Opset17_timm/seresnext26t_32x4d_Opset17.onnx b/Computer_Vision/seresnext26t_32x4d_Opset17_timm/seresnext26t_32x4d_Opset17.onnx
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diff --git a/Computer_Vision/seresnext26t_32x4d_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/seresnext26t_32x4d_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..4e5139e49
--- /dev/null
+++ b/Computer_Vision/seresnext26t_32x4d_Opset17_timm/turnkey_stats.yaml
@@ -0,0 +1,204 @@
+author: timm
+builds:
+  x86_ort:
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+    - export_pytorch
+    - set_success
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+      set_success: 0.016438961029052734
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/seresnext26t_32x4d.py
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+hash: '69455895'
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+  x:
+  - 1
+  - 3
+  - 224
+  - 224
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+  opset: 17
+  size on disk (KiB): 65600.9502
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+  AveragePool: 3
+  Conv: 47
+  Flatten: 1
+  Gemm: 1
+  GlobalAveragePool: 1
+  MaxPool: 1
+  Mul: 8
+  ReduceMean: 8
+  Relu: 35
+  Sigmoid: 8
+parameters: 16806976
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+  Memory Info: 62.79 GB
+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
+  Processor: Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
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diff --git a/Computer_Vision/seresnext26tn_32x4d_Opset16_timm/seresnext26tn_32x4d_Opset16.onnx b/Computer_Vision/seresnext26tn_32x4d_Opset16_timm/seresnext26tn_32x4d_Opset16.onnx
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diff --git a/Computer_Vision/seresnext26tn_32x4d_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/seresnext26tn_32x4d_Opset16_timm/turnkey_stats.yaml
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index 000000000..d1cbcd1a9
--- /dev/null
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--- /dev/null
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diff --git a/Computer_Vision/seresnext26ts_Opset16_timm/seresnext26ts_Opset16.onnx b/Computer_Vision/seresnext26ts_Opset16_timm/seresnext26ts_Opset16.onnx
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diff --git a/Computer_Vision/seresnext26ts_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/seresnext26ts_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..e8ee1ab75
--- /dev/null
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+author: timm
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diff --git a/Computer_Vision/seresnext26ts_Opset17_timm/seresnext26ts_Opset17.onnx b/Computer_Vision/seresnext26ts_Opset17_timm/seresnext26ts_Opset17.onnx
new file mode 100644
index 000000000..02a82f183
--- /dev/null
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diff --git a/Computer_Vision/seresnext26ts_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/seresnext26ts_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..0abef43d1
--- /dev/null
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+author: timm
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+    runtime: ort
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+hash: d50a34ad
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+  - 1
+  - 3
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+  - 256
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+  Mul: 35
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+  Sigmoid: 35
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diff --git a/Computer_Vision/seresnext50_32x4d_Opset16_timm/seresnext50_32x4d_Opset16.onnx b/Computer_Vision/seresnext50_32x4d_Opset16_timm/seresnext50_32x4d_Opset16.onnx
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diff --git a/Computer_Vision/seresnext50_32x4d_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/seresnext50_32x4d_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..feb226a98
--- /dev/null
+++ b/Computer_Vision/seresnext50_32x4d_Opset16_timm/turnkey_stats.yaml
@@ -0,0 +1,203 @@
+author: timm
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+    runtime: ort
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+  OEM System: Virtual Machine
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diff --git a/Computer_Vision/seresnext50_32x4d_Opset17_timm/seresnext50_32x4d_Opset17.onnx b/Computer_Vision/seresnext50_32x4d_Opset17_timm/seresnext50_32x4d_Opset17.onnx
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new file mode 100644
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--- /dev/null
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@@ -0,0 +1,203 @@
+author: timm
+builds:
+  x86_ort:
+    all_build_stages:
+    - export_pytorch
+    - set_success
+    benchmark_status: successful
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+      export_pytorch: 2.2091400623321533
+      set_success: 0.024992704391479492
+    device_type: x86
+    iterations: 100
+    onnx_file: /home/azureuser/.cache/turnkey/seresnext50_32x4d_timm_59ec7fde/onnx/seresnext50_32x4d_timm_59ec7fde-op17-base.onnx
+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/seresnext50_32x4d.py
+class: ResNet
+hash: b147a4bd
+model_name: seresnext50_32x4d
+onnx_input_dimensions:
+  x:
+  - 1
+  - 3
+  - 224
+  - 224
+onnx_model_information:
+  ir_version: 8
+  opset: 17
+  size on disk (KiB): 107565.3203
+onnx_ops_counter:
+  Add: 16
+  Conv: 85
+  Flatten: 1
+  Gemm: 1
+  GlobalAveragePool: 1
+  MaxPool: 1
+  Mul: 16
+  ReduceMean: 16
+  Relu: 65
+  Sigmoid: 16
+parameters: 27559896
+system_info:
+  Memory Info: 62.79 GB
+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
+  Processor: Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
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+  - markdown==3.5.1
+  - markupsafe==2.1.3
+  - pillow==10.1.0
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+  - xxhash==3.4.1
+  - yacs==0.1.8
+  - yarl==1.9.2
+  - zipp==3.17.0
+task: Computer_Vision
diff --git a/Computer_Vision/seresnextaa101d_32x8d_Opset16_timm/seresnextaa101d_32x8d_Opset16.onnx b/Computer_Vision/seresnextaa101d_32x8d_Opset16_timm/seresnextaa101d_32x8d_Opset16.onnx
new file mode 100644
index 000000000..d1fae2fdd
--- /dev/null
+++ b/Computer_Vision/seresnextaa101d_32x8d_Opset16_timm/seresnextaa101d_32x8d_Opset16.onnx
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8886236c5f0d2dc606163d11eb77627e5866410c876083144e6cc98c398f01c2
+size 374038228
diff --git a/Computer_Vision/seresnextaa101d_32x8d_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/seresnextaa101d_32x8d_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..ecd05c6d3
--- /dev/null
+++ b/Computer_Vision/seresnextaa101d_32x8d_Opset16_timm/turnkey_stats.yaml
@@ -0,0 +1,203 @@
+author: timm
+builds:
+  x86_ort:
+    all_build_stages:
+    - export_pytorch
+    - set_success
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+    completed_build_stages:
+      export_pytorch: 7.009915590286255
+      set_success: 0.022953271865844727
+    device_type: x86
+    iterations: 100
+    onnx_file: /home/azureuser/.cache/turnkey/seresnextaa101d_32x8d_timm_5c5cda27/onnx/seresnextaa101d_32x8d_timm_5c5cda27-op16-base.onnx
+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/seresnextaa101d_32x8d.py
+class: ResNet
+hash: cab9efa0
+model_name: seresnextaa101d_32x8d
+onnx_input_dimensions:
+  x:
+  - 1
+  - 3
+  - 288
+  - 288
+onnx_model_information:
+  ir_version: 8
+  opset: 16
+  size on disk (KiB): 365271.7393
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+  Add: 33
+  AveragePool: 7
+  Conv: 172
+  Flatten: 1
+  Gemm: 1
+  GlobalAveragePool: 1
+  Mul: 33
+  ReduceMean: 33
+  Relu: 135
+  Sigmoid: 33
+parameters: 93588280
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+  Memory Info: 62.79 GB
+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
+  Processor: Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
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+  - yacs==0.1.8
+  - yarl==1.9.2
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diff --git a/Computer_Vision/seresnextaa101d_32x8d_Opset17_timm/seresnextaa101d_32x8d_Opset17.onnx b/Computer_Vision/seresnextaa101d_32x8d_Opset17_timm/seresnextaa101d_32x8d_Opset17.onnx
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diff --git a/Computer_Vision/seresnextaa101d_32x8d_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/seresnextaa101d_32x8d_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..5c3b0d87e
--- /dev/null
+++ b/Computer_Vision/seresnextaa101d_32x8d_Opset17_timm/turnkey_stats.yaml
@@ -0,0 +1,203 @@
+author: timm
+builds:
+  x86_ort:
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+    - export_pytorch
+    - set_success
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+      set_success: 0.02148151397705078
+    device_type: x86
+    iterations: 100
+    onnx_file: /home/azureuser/.cache/turnkey/seresnextaa101d_32x8d_timm_5c5cda27/onnx/seresnextaa101d_32x8d_timm_5c5cda27-op17-base.onnx
+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/seresnextaa101d_32x8d.py
+class: ResNet
+hash: cab9efa0
+model_name: seresnextaa101d_32x8d
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+  x:
+  - 1
+  - 3
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+  - 288
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+  AveragePool: 7
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+  Flatten: 1
+  Gemm: 1
+  GlobalAveragePool: 1
+  Mul: 33
+  ReduceMean: 33
+  Relu: 135
+  Sigmoid: 33
+parameters: 93588280
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+  Memory Info: 62.79 GB
+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
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diff --git a/Computer_Vision/shufflenet_v2_x0_5_Opset16_torch_hub/shufflenet_v2_x0_5_Opset16.onnx b/Computer_Vision/shufflenet_v2_x0_5_Opset16_torch_hub/shufflenet_v2_x0_5_Opset16.onnx
new file mode 100644
index 000000000..559d74438
--- /dev/null
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diff --git a/Computer_Vision/shufflenet_v2_x0_5_Opset16_torch_hub/turnkey_stats.yaml b/Computer_Vision/shufflenet_v2_x0_5_Opset16_torch_hub/turnkey_stats.yaml
new file mode 100644
index 000000000..86b3e868a
--- /dev/null
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+    runtime: ort
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diff --git a/Computer_Vision/shufflenet_v2_x0_5_Opset17_torch_hub/shufflenet_v2_x0_5_Opset17.onnx b/Computer_Vision/shufflenet_v2_x0_5_Opset17_torch_hub/shufflenet_v2_x0_5_Opset17.onnx
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diff --git a/Computer_Vision/shufflenet_v2_x0_5_Opset17_torch_hub/turnkey_stats.yaml b/Computer_Vision/shufflenet_v2_x0_5_Opset17_torch_hub/turnkey_stats.yaml
new file mode 100644
index 000000000..89fde1bb2
--- /dev/null
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diff --git a/Computer_Vision/shufflenet_v2_x1_0_Opset16_torch_hub/shufflenet_v2_x1_0_Opset16.onnx b/Computer_Vision/shufflenet_v2_x1_0_Opset16_torch_hub/shufflenet_v2_x1_0_Opset16.onnx
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diff --git a/Computer_Vision/shufflenet_v2_x1_0_Opset16_torch_hub/turnkey_stats.yaml b/Computer_Vision/shufflenet_v2_x1_0_Opset16_torch_hub/turnkey_stats.yaml
new file mode 100644
index 000000000..8a3ab362c
--- /dev/null
+++ b/Computer_Vision/shufflenet_v2_x1_0_Opset16_torch_hub/turnkey_stats.yaml
@@ -0,0 +1,208 @@
+author: torch_hub
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diff --git a/Computer_Vision/shufflenet_v2_x1_0_Opset17_torch_hub/shufflenet_v2_x1_0_Opset17.onnx b/Computer_Vision/shufflenet_v2_x1_0_Opset17_torch_hub/shufflenet_v2_x1_0_Opset17.onnx
new file mode 100644
index 000000000..cc50cfb60
--- /dev/null
+++ b/Computer_Vision/shufflenet_v2_x1_0_Opset17_torch_hub/shufflenet_v2_x1_0_Opset17.onnx
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diff --git a/Computer_Vision/shufflenet_v2_x1_0_Opset17_torch_hub/turnkey_stats.yaml b/Computer_Vision/shufflenet_v2_x1_0_Opset17_torch_hub/turnkey_stats.yaml
new file mode 100644
index 000000000..48098c165
--- /dev/null
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/torch_hub/shufflenet_v2_x1_0.py
+class: ShuffleNetV2
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diff --git a/Computer_Vision/shufflenet_v2_x1_5_Opset16_torch_hub/shufflenet_v2_x1_5_Opset16.onnx b/Computer_Vision/shufflenet_v2_x1_5_Opset16_torch_hub/shufflenet_v2_x1_5_Opset16.onnx
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diff --git a/Computer_Vision/shufflenet_v2_x1_5_Opset16_torch_hub/turnkey_stats.yaml b/Computer_Vision/shufflenet_v2_x1_5_Opset16_torch_hub/turnkey_stats.yaml
new file mode 100644
index 000000000..3824f0c4b
--- /dev/null
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diff --git a/Computer_Vision/shufflenet_v2_x1_5_Opset17_torch_hub/shufflenet_v2_x1_5_Opset17.onnx b/Computer_Vision/shufflenet_v2_x1_5_Opset17_torch_hub/shufflenet_v2_x1_5_Opset17.onnx
new file mode 100644
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diff --git a/Computer_Vision/shufflenet_v2_x1_5_Opset17_torch_hub/turnkey_stats.yaml b/Computer_Vision/shufflenet_v2_x1_5_Opset17_torch_hub/turnkey_stats.yaml
new file mode 100644
index 000000000..c5468e420
--- /dev/null
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+    runtime: ort
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diff --git a/Computer_Vision/shufflenet_v2_x2_0_Opset16_torch_hub/shufflenet_v2_x2_0_Opset16.onnx b/Computer_Vision/shufflenet_v2_x2_0_Opset16_torch_hub/shufflenet_v2_x2_0_Opset16.onnx
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diff --git a/Computer_Vision/shufflenet_v2_x2_0_Opset16_torch_hub/turnkey_stats.yaml b/Computer_Vision/shufflenet_v2_x2_0_Opset16_torch_hub/turnkey_stats.yaml
new file mode 100644
index 000000000..48a7db857
--- /dev/null
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diff --git a/Computer_Vision/shufflenet_v2_x2_0_Opset17_torch_hub/shufflenet_v2_x2_0_Opset17.onnx b/Computer_Vision/shufflenet_v2_x2_0_Opset17_torch_hub/shufflenet_v2_x2_0_Opset17.onnx
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diff --git a/Computer_Vision/shufflenet_v2_x2_0_Opset17_torch_hub/turnkey_stats.yaml b/Computer_Vision/shufflenet_v2_x2_0_Opset17_torch_hub/turnkey_stats.yaml
new file mode 100644
index 000000000..19ea1f15b
--- /dev/null
+++ b/Computer_Vision/shufflenet_v2_x2_0_Opset17_torch_hub/turnkey_stats.yaml
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diff --git a/Computer_Vision/skresnet18_Opset16_timm/skresnet18_Opset16.onnx b/Computer_Vision/skresnet18_Opset16_timm/skresnet18_Opset16.onnx
new file mode 100644
index 000000000..3c6fc5805
--- /dev/null
+++ b/Computer_Vision/skresnet18_Opset16_timm/skresnet18_Opset16.onnx
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
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diff --git a/Computer_Vision/skresnet18_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/skresnet18_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..ed379879f
--- /dev/null
+++ b/Computer_Vision/skresnet18_Opset16_timm/turnkey_stats.yaml
@@ -0,0 +1,209 @@
+author: timm
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+hash: fda08bb8
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new file mode 100644
index 000000000..c5ce8e783
--- /dev/null
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new file mode 100644
index 000000000..650fa4463
--- /dev/null
+++ b/Computer_Vision/skresnet18_Opset17_timm/turnkey_stats.yaml
@@ -0,0 +1,209 @@
+author: timm
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+    runtime: ort
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new file mode 100644
index 000000000..899c90fa7
--- /dev/null
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diff --git a/Computer_Vision/skresnet34_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/skresnet34_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..ba15ced92
--- /dev/null
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@@ -0,0 +1,209 @@
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index 000000000..cf16baac6
--- /dev/null
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@@ -0,0 +1,209 @@
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diff --git a/Computer_Vision/skresnext50_32x4d_Opset16_timm/skresnext50_32x4d_Opset16.onnx b/Computer_Vision/skresnext50_32x4d_Opset16_timm/skresnext50_32x4d_Opset16.onnx
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--- /dev/null
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diff --git a/Computer_Vision/skresnext50_32x4d_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/skresnext50_32x4d_Opset16_timm/turnkey_stats.yaml
new file mode 100644
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--- /dev/null
+++ b/Computer_Vision/skresnext50_32x4d_Opset16_timm/turnkey_stats.yaml
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diff --git a/Computer_Vision/skresnext50_32x4d_Opset17_timm/skresnext50_32x4d_Opset17.onnx b/Computer_Vision/skresnext50_32x4d_Opset17_timm/skresnext50_32x4d_Opset17.onnx
new file mode 100644
index 000000000..fadbf8319
--- /dev/null
+++ b/Computer_Vision/skresnext50_32x4d_Opset17_timm/skresnext50_32x4d_Opset17.onnx
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diff --git a/Computer_Vision/skresnext50_32x4d_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/skresnext50_32x4d_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..99cebc6ee
--- /dev/null
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+author: timm
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index 000000000..c96059d10
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+author: timm
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+  OEM System: Virtual Machine
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diff --git a/Computer_Vision/spnasnet_100_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/spnasnet_100_Opset17_timm/turnkey_stats.yaml
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index 000000000..ebf4d3e44
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index 000000000..de2950ffa
--- /dev/null
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diff --git a/Computer_Vision/squeezenet1_0_Opset16_torch_hub/turnkey_stats.yaml b/Computer_Vision/squeezenet1_0_Opset16_torch_hub/turnkey_stats.yaml
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diff --git a/Computer_Vision/squeezenet1_0_Opset17_torch_hub/squeezenet1_0_Opset17.onnx b/Computer_Vision/squeezenet1_0_Opset17_torch_hub/squeezenet1_0_Opset17.onnx
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index 000000000..291f2d561
--- /dev/null
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diff --git a/Computer_Vision/squeezenet1_0_Opset17_torch_hub/turnkey_stats.yaml b/Computer_Vision/squeezenet1_0_Opset17_torch_hub/turnkey_stats.yaml
new file mode 100644
index 000000000..33457a17b
--- /dev/null
+++ b/Computer_Vision/squeezenet1_0_Opset17_torch_hub/turnkey_stats.yaml
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/torch_hub/squeezenet1_0.py
+class: SqueezeNet
+hash: 8b319b5b
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+  - 1
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diff --git a/Computer_Vision/squeezenet1_0_Opset18_torch_hub/squeezenet1_0_Opset18.onnx b/Computer_Vision/squeezenet1_0_Opset18_torch_hub/squeezenet1_0_Opset18.onnx
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diff --git a/Computer_Vision/squeezenet1_0_Opset18_torch_hub/turnkey_stats.yaml b/Computer_Vision/squeezenet1_0_Opset18_torch_hub/turnkey_stats.yaml
new file mode 100644
index 000000000..16eb070ce
--- /dev/null
+++ b/Computer_Vision/squeezenet1_0_Opset18_torch_hub/turnkey_stats.yaml
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diff --git a/Computer_Vision/squeezenet1_1_Opset16_torch_hub/squeezenet1_1_Opset16.onnx b/Computer_Vision/squeezenet1_1_Opset16_torch_hub/squeezenet1_1_Opset16.onnx
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diff --git a/Computer_Vision/squeezenet1_1_Opset16_torch_hub/turnkey_stats.yaml b/Computer_Vision/squeezenet1_1_Opset16_torch_hub/turnkey_stats.yaml
new file mode 100644
index 000000000..e12bc4fcd
--- /dev/null
+++ b/Computer_Vision/squeezenet1_1_Opset16_torch_hub/turnkey_stats.yaml
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+author: torch_hub
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+  - 1
+  - 3
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+  - 224
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diff --git a/Computer_Vision/squeezenet1_1_Opset17_torch_hub/squeezenet1_1_Opset17.onnx b/Computer_Vision/squeezenet1_1_Opset17_torch_hub/squeezenet1_1_Opset17.onnx
new file mode 100644
index 000000000..0a97a80d6
--- /dev/null
+++ b/Computer_Vision/squeezenet1_1_Opset17_torch_hub/squeezenet1_1_Opset17.onnx
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diff --git a/Computer_Vision/squeezenet1_1_Opset17_torch_hub/turnkey_stats.yaml b/Computer_Vision/squeezenet1_1_Opset17_torch_hub/turnkey_stats.yaml
new file mode 100644
index 000000000..b49a23393
--- /dev/null
+++ b/Computer_Vision/squeezenet1_1_Opset17_torch_hub/turnkey_stats.yaml
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/torch_hub/squeezenet1_1.py
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+hash: db09563d
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diff --git a/Computer_Vision/squeezenet1_1_Opset18_torch_hub/squeezenet1_1_Opset18.onnx b/Computer_Vision/squeezenet1_1_Opset18_torch_hub/squeezenet1_1_Opset18.onnx
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index 000000000..76bbb07ab
--- /dev/null
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diff --git a/Computer_Vision/squeezenet1_1_Opset18_torch_hub/turnkey_stats.yaml b/Computer_Vision/squeezenet1_1_Opset18_torch_hub/turnkey_stats.yaml
new file mode 100644
index 000000000..104cc9da7
--- /dev/null
+++ b/Computer_Vision/squeezenet1_1_Opset18_torch_hub/turnkey_stats.yaml
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diff --git a/Computer_Vision/ssl_resnet18_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/ssl_resnet18_Opset16_timm/turnkey_stats.yaml
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index 000000000..45b4659fc
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index 000000000..4ab3747a6
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index 000000000..ccb91503b
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new file mode 100644
index 000000000..24c192ed8
--- /dev/null
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diff --git a/Computer_Vision/ssl_resnet50_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/ssl_resnet50_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..e225363e0
--- /dev/null
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+author: timm
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index 000000000..fcc25aa1e
--- /dev/null
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diff --git a/Computer_Vision/ssl_resnet50_Opset18_timm/ssl_resnet50_Opset18.onnx b/Computer_Vision/ssl_resnet50_Opset18_timm/ssl_resnet50_Opset18.onnx
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index 000000000..6df31d5bf
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diff --git a/Computer_Vision/ssl_resnext101_32x4d_Opset18_timm/ssl_resnext101_32x4d_Opset18.onnx b/Computer_Vision/ssl_resnext101_32x4d_Opset18_timm/ssl_resnext101_32x4d_Opset18.onnx
new file mode 100644
index 000000000..5915b5b06
--- /dev/null
+++ b/Computer_Vision/ssl_resnext101_32x4d_Opset18_timm/ssl_resnext101_32x4d_Opset18.onnx
@@ -0,0 +1,3 @@
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diff --git a/Computer_Vision/ssl_resnext101_32x4d_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/ssl_resnext101_32x4d_Opset18_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..2d7b6fa78
--- /dev/null
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+    runtime: ort
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+hash: 984aa3a2
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+  - 224
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+  Add: 33
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diff --git a/Computer_Vision/ssl_resnext101_32x8d_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/ssl_resnext101_32x8d_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..78a45bdc3
--- /dev/null
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+author: timm
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+  - 224
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+parameters: 88791336
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+  OEM System: Virtual Machine
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diff --git a/Computer_Vision/ssl_resnext101_32x8d_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/ssl_resnext101_32x8d_Opset17_timm/turnkey_stats.yaml
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+  - xxhash==3.4.1
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diff --git a/Computer_Vision/ssl_resnext50_32x4d_Opset17_timm/ssl_resnext50_32x4d_Opset17.onnx b/Computer_Vision/ssl_resnext50_32x4d_Opset17_timm/ssl_resnext50_32x4d_Opset17.onnx
new file mode 100644
index 000000000..bc80a482a
--- /dev/null
+++ b/Computer_Vision/ssl_resnext50_32x4d_Opset17_timm/ssl_resnext50_32x4d_Opset17.onnx
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
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diff --git a/Computer_Vision/ssl_resnext50_32x4d_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/ssl_resnext50_32x4d_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..e00b9212c
--- /dev/null
+++ b/Computer_Vision/ssl_resnext50_32x4d_Opset17_timm/turnkey_stats.yaml
@@ -0,0 +1,200 @@
+author: timm
+builds:
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+      set_success: 0.022556543350219727
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/ssl_resnext50_32x4d.py
+class: ResNet
+hash: baf7f18f
+model_name: ssl_resnext50_32x4d
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+  x:
+  - 1
+  - 3
+  - 224
+  - 224
+onnx_model_information:
+  ir_version: 8
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+  size on disk (KiB): 97659.6924
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+  Add: 16
+  Conv: 53
+  Flatten: 1
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+  Relu: 49
+parameters: 25028904
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diff --git a/Computer_Vision/ssl_resnext50_32x4d_Opset18_timm/ssl_resnext50_32x4d_Opset18.onnx b/Computer_Vision/ssl_resnext50_32x4d_Opset18_timm/ssl_resnext50_32x4d_Opset18.onnx
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diff --git a/Computer_Vision/ssl_resnext50_32x4d_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/ssl_resnext50_32x4d_Opset18_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..38aa9f91c
--- /dev/null
+++ b/Computer_Vision/ssl_resnext50_32x4d_Opset18_timm/turnkey_stats.yaml
@@ -0,0 +1,200 @@
+author: timm
+builds:
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+    - set_success
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+      set_success: 0.01925492286682129
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/ssl_resnext50_32x4d.py
+class: ResNet
+hash: baf7f18f
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+  x:
+  - 1
+  - 3
+  - 224
+  - 224
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+  size on disk (KiB): 97659.6924
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+  Add: 16
+  Conv: 53
+  Flatten: 1
+  Gemm: 1
+  GlobalAveragePool: 1
+  MaxPool: 1
+  Relu: 49
+parameters: 25028904
+system_info:
+  Memory Info: 62.79 GB
+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
+  Processor: Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
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index 000000000..5f6cecc95
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diff --git a/Computer_Vision/swin_base_patch4_window12_384_Opset16_timm/swin_base_patch4_window12_384_Opset16.onnx b/Computer_Vision/swin_base_patch4_window12_384_Opset16_timm/swin_base_patch4_window12_384_Opset16.onnx
new file mode 100644
index 000000000..84c30d695
--- /dev/null
+++ b/Computer_Vision/swin_base_patch4_window12_384_Opset16_timm/swin_base_patch4_window12_384_Opset16.onnx
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diff --git a/Computer_Vision/swin_base_patch4_window12_384_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/swin_base_patch4_window12_384_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..dd2110a5f
--- /dev/null
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+    runtime: ort
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+  Sqrt: 53
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diff --git a/Computer_Vision/swin_base_patch4_window12_384_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/swin_base_patch4_window12_384_Opset17_timm/turnkey_stats.yaml
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+author: timm
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+hash: de402fcd
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+  - 384
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index 000000000..c8835aa73
--- /dev/null
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diff --git a/Computer_Vision/swin_base_patch4_window12_384_in22k_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/swin_base_patch4_window12_384_in22k_Opset17_timm/turnkey_stats.yaml
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diff --git a/Computer_Vision/swin_base_patch4_window7_224_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/swin_base_patch4_window7_224_Opset16_timm/turnkey_stats.yaml
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diff --git a/Computer_Vision/swin_base_patch4_window7_224_Opset17_timm/swin_base_patch4_window7_224_Opset17.onnx b/Computer_Vision/swin_base_patch4_window7_224_Opset17_timm/swin_base_patch4_window7_224_Opset17.onnx
new file mode 100644
index 000000000..354b3f22c
--- /dev/null
+++ b/Computer_Vision/swin_base_patch4_window7_224_Opset17_timm/swin_base_patch4_window7_224_Opset17.onnx
@@ -0,0 +1,3 @@
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diff --git a/Computer_Vision/swin_base_patch4_window7_224_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/swin_base_patch4_window7_224_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..a91c09aff
--- /dev/null
+++ b/Computer_Vision/swin_base_patch4_window7_224_Opset17_timm/turnkey_stats.yaml
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+author: timm
+builds:
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+    - export_pytorch
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/swin_base_patch4_window7_224.py
+class: SwinTransformer
+hash: de402fcd
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+  x:
+  - 1
+  - 3
+  - 224
+  - 224
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+  Constant: 2525
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+  Conv: 1
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+  Erf: 24
+  Gather: 192
+  Gemm: 1
+  LayerNormalization: 53
+  MatMul: 147
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+  Mul: 72
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+  ReduceMean: 1
+  Reshape: 316
+  Shape: 195
+  Slice: 163
+  Softmax: 24
+  Split: 24
+  Squeeze: 72
+  Sub: 72
+  Transpose: 148
+  Unsqueeze: 500
+parameters: 87768224
+system_info:
+  Memory Info: 62.79 GB
+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
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+task: Computer_Vision
diff --git a/Computer_Vision/swin_base_patch4_window7_224_in22k_Opset16_timm/swin_base_patch4_window7_224_in22k_Opset16.onnx b/Computer_Vision/swin_base_patch4_window7_224_in22k_Opset16_timm/swin_base_patch4_window7_224_in22k_Opset16.onnx
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diff --git a/Computer_Vision/swin_base_patch4_window7_224_in22k_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/swin_base_patch4_window7_224_in22k_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..03a2f9813
--- /dev/null
+++ b/Computer_Vision/swin_base_patch4_window7_224_in22k_Opset16_timm/turnkey_stats.yaml
@@ -0,0 +1,219 @@
+author: timm
+builds:
+  x86_ort:
+    all_build_stages:
+    - export_pytorch
+    - set_success
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+    completed_build_stages:
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+      set_success: 0.0210418701171875
+    device_type: x86
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/swin_base_patch4_window7_224_in22k.py
+class: SwinTransformer
+hash: 1d556245
+model_name: swin_base_patch4_window7_224_in22k
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+  x:
+  - 1
+  - 3
+  - 224
+  - 224
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+  opset: 16
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+  Cast: 240
+  Concat: 285
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+  Conv: 1
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+  Sqrt: 53
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+  Sub: 125
+  Transpose: 148
+  Unsqueeze: 500
+parameters: 109130249
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+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
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diff --git a/Computer_Vision/swin_large_patch4_window12_384_in22k_Opset16_timm/swin_large_patch4_window12_384_in22k_Opset16.onnx b/Computer_Vision/swin_large_patch4_window12_384_in22k_Opset16_timm/swin_large_patch4_window12_384_in22k_Opset16.onnx
new file mode 100644
index 000000000..d937098cd
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+++ b/Computer_Vision/swin_large_patch4_window12_384_in22k_Opset16_timm/swin_large_patch4_window12_384_in22k_Opset16.onnx
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diff --git a/Computer_Vision/swin_large_patch4_window12_384_in22k_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/swin_large_patch4_window12_384_in22k_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..35c019ff8
--- /dev/null
+++ b/Computer_Vision/swin_large_patch4_window12_384_in22k_Opset16_timm/turnkey_stats.yaml
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diff --git a/Computer_Vision/swin_large_patch4_window12_384_in22k_Opset17_timm/swin_large_patch4_window12_384_in22k_Opset17.onnx b/Computer_Vision/swin_large_patch4_window12_384_in22k_Opset17_timm/swin_large_patch4_window12_384_in22k_Opset17.onnx
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diff --git a/Computer_Vision/swin_large_patch4_window12_384_in22k_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/swin_large_patch4_window12_384_in22k_Opset17_timm/turnkey_stats.yaml
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+author: timm
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diff --git a/Computer_Vision/swin_large_patch4_window7_224_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/swin_large_patch4_window7_224_Opset17_timm/turnkey_stats.yaml
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diff --git a/Computer_Vision/swin_large_patch4_window7_224_in22k_Opset16_timm/swin_large_patch4_window7_224_in22k_Opset16.onnx b/Computer_Vision/swin_large_patch4_window7_224_in22k_Opset16_timm/swin_large_patch4_window7_224_in22k_Opset16.onnx
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+++ b/Computer_Vision/swin_large_patch4_window7_224_in22k_Opset16_timm/turnkey_stats.yaml
@@ -0,0 +1,219 @@
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diff --git a/Computer_Vision/swin_large_patch4_window7_224_in22k_Opset17_timm/swin_large_patch4_window7_224_in22k_Opset17.onnx b/Computer_Vision/swin_large_patch4_window7_224_in22k_Opset17_timm/swin_large_patch4_window7_224_in22k_Opset17.onnx
new file mode 100644
index 000000000..8f5d93035
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diff --git a/Computer_Vision/swin_large_patch4_window7_224_in22k_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/swin_large_patch4_window7_224_in22k_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..7f2a818e8
--- /dev/null
+++ b/Computer_Vision/swin_large_patch4_window7_224_in22k_Opset17_timm/turnkey_stats.yaml
@@ -0,0 +1,218 @@
+author: timm
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+    runtime: ort
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+  - 224
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new file mode 100644
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diff --git a/Computer_Vision/swin_s3_base_224_Opset17_timm/swin_s3_base_224_Opset17.onnx b/Computer_Vision/swin_s3_base_224_Opset17_timm/swin_s3_base_224_Opset17.onnx
new file mode 100644
index 000000000..5a5d88957
--- /dev/null
+++ b/Computer_Vision/swin_s3_base_224_Opset17_timm/swin_s3_base_224_Opset17.onnx
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diff --git a/Computer_Vision/swin_s3_base_224_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/swin_s3_base_224_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..f87feade0
--- /dev/null
+++ b/Computer_Vision/swin_s3_base_224_Opset17_timm/turnkey_stats.yaml
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+author: timm
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+    runtime: ort
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+  - 224
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+parameters: 71125762
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diff --git a/Computer_Vision/swin_s3_small_224_Opset16_timm/swin_s3_small_224_Opset16.onnx b/Computer_Vision/swin_s3_small_224_Opset16_timm/swin_s3_small_224_Opset16.onnx
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diff --git a/Computer_Vision/swin_s3_small_224_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/swin_s3_small_224_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..5d6fc488e
--- /dev/null
+++ b/Computer_Vision/swin_s3_small_224_Opset16_timm/turnkey_stats.yaml
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+author: timm
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+  OEM System: Virtual Machine
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diff --git a/Computer_Vision/swin_s3_small_224_Opset17_timm/swin_s3_small_224_Opset17.onnx b/Computer_Vision/swin_s3_small_224_Opset17_timm/swin_s3_small_224_Opset17.onnx
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--- /dev/null
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diff --git a/Computer_Vision/swin_s3_small_224_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/swin_s3_small_224_Opset17_timm/turnkey_stats.yaml
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index 000000000..373a7f966
--- /dev/null
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new file mode 100644
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diff --git a/Computer_Vision/swin_s3_tiny_224_Opset17_timm/swin_s3_tiny_224_Opset17.onnx b/Computer_Vision/swin_s3_tiny_224_Opset17_timm/swin_s3_tiny_224_Opset17.onnx
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new file mode 100644
index 000000000..7140343ac
--- /dev/null
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@@ -0,0 +1,218 @@
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new file mode 100644
index 000000000..347f52a1e
--- /dev/null
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diff --git a/Computer_Vision/swin_s_Opset16_torch_hub/turnkey_stats.yaml b/Computer_Vision/swin_s_Opset16_torch_hub/turnkey_stats.yaml
new file mode 100644
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index 000000000..71e9322f4
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diff --git a/Computer_Vision/swin_t_Opset16_torch_hub/swin_t_Opset16.onnx b/Computer_Vision/swin_t_Opset16_torch_hub/swin_t_Opset16.onnx
new file mode 100644
index 000000000..09cf03938
--- /dev/null
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diff --git a/Computer_Vision/swin_t_Opset16_torch_hub/turnkey_stats.yaml b/Computer_Vision/swin_t_Opset16_torch_hub/turnkey_stats.yaml
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index 000000000..b2e986877
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index 000000000..8205b7dad
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diff --git a/Computer_Vision/swinv2_base_window12_192_22k_Opset16_timm/swinv2_base_window12_192_22k_Opset16.onnx b/Computer_Vision/swinv2_base_window12_192_22k_Opset16_timm/swinv2_base_window12_192_22k_Opset16.onnx
new file mode 100644
index 000000000..11401c66a
--- /dev/null
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diff --git a/Computer_Vision/swinv2_base_window12_192_22k_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/swinv2_base_window12_192_22k_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..6479135ae
--- /dev/null
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+    runtime: ort
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diff --git a/Computer_Vision/swinv2_base_window12_192_22k_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/swinv2_base_window12_192_22k_Opset17_timm/turnkey_stats.yaml
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+author: timm
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+    runtime: ort
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new file mode 100644
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diff --git a/Computer_Vision/swinv2_base_window12to24_192to384_22kft1k_Opset17_timm/swinv2_base_window12to24_192to384_22kft1k_Opset17.onnx b/Computer_Vision/swinv2_base_window12to24_192to384_22kft1k_Opset17_timm/swinv2_base_window12to24_192to384_22kft1k_Opset17.onnx
new file mode 100644
index 000000000..5de8e5967
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diff --git a/Computer_Vision/swinv2_base_window12to24_192to384_22kft1k_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/swinv2_base_window12to24_192to384_22kft1k_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..54c58dc50
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diff --git a/Computer_Vision/swinv2_base_window16_256_Opset17_timm/swinv2_base_window16_256_Opset17.onnx b/Computer_Vision/swinv2_base_window16_256_Opset17_timm/swinv2_base_window16_256_Opset17.onnx
new file mode 100644
index 000000000..cbd4e2894
--- /dev/null
+++ b/Computer_Vision/swinv2_base_window16_256_Opset17_timm/swinv2_base_window16_256_Opset17.onnx
@@ -0,0 +1,3 @@
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diff --git a/Computer_Vision/swinv2_base_window16_256_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/swinv2_base_window16_256_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..4c8088dc7
--- /dev/null
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+    runtime: ort
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new file mode 100644
index 000000000..c0f5b2aca
--- /dev/null
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+author: timm
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+hash: 85efb97b
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diff --git a/Computer_Vision/swinv2_cr_small_224_Opset18_timm/swinv2_cr_small_224_Opset18.onnx b/Computer_Vision/swinv2_cr_small_224_Opset18_timm/swinv2_cr_small_224_Opset18.onnx
new file mode 100644
index 000000000..631322559
--- /dev/null
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diff --git a/Computer_Vision/swinv2_cr_small_224_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/swinv2_cr_small_224_Opset18_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..7402bf2cf
--- /dev/null
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diff --git a/Computer_Vision/swinv2_cr_tiny_ns_224_Opset17_timm/swinv2_cr_tiny_ns_224_Opset17.onnx b/Computer_Vision/swinv2_cr_tiny_ns_224_Opset17_timm/swinv2_cr_tiny_ns_224_Opset17.onnx
new file mode 100644
index 000000000..0f63eb265
--- /dev/null
+++ b/Computer_Vision/swinv2_cr_tiny_ns_224_Opset17_timm/swinv2_cr_tiny_ns_224_Opset17.onnx
@@ -0,0 +1,3 @@
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diff --git a/Computer_Vision/swinv2_cr_tiny_ns_224_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/swinv2_cr_tiny_ns_224_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..aafcde28d
--- /dev/null
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diff --git a/Computer_Vision/swinv2_large_window12_192_22k_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/swinv2_large_window12_192_22k_Opset16_timm/turnkey_stats.yaml
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diff --git a/Computer_Vision/swinv2_large_window12to16_192to256_22kft1k_Opset17_timm/swinv2_large_window12to16_192to256_22kft1k_Opset17.onnx b/Computer_Vision/swinv2_large_window12to16_192to256_22kft1k_Opset17_timm/swinv2_large_window12to16_192to256_22kft1k_Opset17.onnx
new file mode 100644
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diff --git a/Computer_Vision/swinv2_large_window12to16_192to256_22kft1k_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/swinv2_large_window12to16_192to256_22kft1k_Opset17_timm/turnkey_stats.yaml
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new file mode 100644
index 000000000..2cbf10cf2
--- /dev/null
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diff --git a/Computer_Vision/swinv2_large_window12to24_192to384_22kft1k_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/swinv2_large_window12to24_192to384_22kft1k_Opset17_timm/turnkey_stats.yaml
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index 000000000..5741c6551
--- /dev/null
+++ b/Computer_Vision/swinv2_large_window12to24_192to384_22kft1k_Opset17_timm/turnkey_stats.yaml
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diff --git a/Computer_Vision/swinv2_tiny_window16_256_Opset16_timm/swinv2_tiny_window16_256_Opset16.onnx b/Computer_Vision/swinv2_tiny_window16_256_Opset16_timm/swinv2_tiny_window16_256_Opset16.onnx
new file mode 100644
index 000000000..036bbef21
--- /dev/null
+++ b/Computer_Vision/swinv2_tiny_window16_256_Opset16_timm/swinv2_tiny_window16_256_Opset16.onnx
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new file mode 100644
index 000000000..55b3abcb7
--- /dev/null
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index 000000000..c7345ad7f
--- /dev/null
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diff --git a/Computer_Vision/swsl_resnet18_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/swsl_resnet18_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..92dcfaf0e
--- /dev/null
+++ b/Computer_Vision/swsl_resnet18_Opset17_timm/turnkey_stats.yaml
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index 000000000..d400980a7
--- /dev/null
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index 000000000..0bfc4b94b
--- /dev/null
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index 000000000..b1721caa6
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index 000000000..a24ee6e8a
--- /dev/null
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diff --git a/Computer_Vision/swsl_resnext101_32x4d_Opset16_timm/swsl_resnext101_32x4d_Opset16.onnx b/Computer_Vision/swsl_resnext101_32x4d_Opset16_timm/swsl_resnext101_32x4d_Opset16.onnx
new file mode 100644
index 000000000..6ef536182
--- /dev/null
+++ b/Computer_Vision/swsl_resnext101_32x4d_Opset16_timm/swsl_resnext101_32x4d_Opset16.onnx
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diff --git a/Computer_Vision/swsl_resnext101_32x4d_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/swsl_resnext101_32x4d_Opset16_timm/turnkey_stats.yaml
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diff --git a/Computer_Vision/swsl_resnext101_32x8d_Opset18_timm/swsl_resnext101_32x8d_Opset18.onnx b/Computer_Vision/swsl_resnext101_32x8d_Opset18_timm/swsl_resnext101_32x8d_Opset18.onnx
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diff --git a/Computer_Vision/swsl_resnext101_32x8d_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/swsl_resnext101_32x8d_Opset18_timm/turnkey_stats.yaml
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index 000000000..18c370ca2
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index 000000000..4f95ffff5
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new file mode 100644
index 000000000..9ac6da056
--- /dev/null
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--- /dev/null
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--- /dev/null
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new file mode 100644
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index 000000000..636d3f361
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--- /dev/null
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new file mode 100644
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index 000000000..2d38e20e4
--- /dev/null
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diff --git a/Computer_Vision/tf_mobilenetv3_small_075_Opset16_timm/tf_mobilenetv3_small_075_Opset16.onnx b/Computer_Vision/tf_mobilenetv3_small_075_Opset16_timm/tf_mobilenetv3_small_075_Opset16.onnx
new file mode 100644
index 000000000..90f4842f2
--- /dev/null
+++ b/Computer_Vision/tf_mobilenetv3_small_075_Opset16_timm/tf_mobilenetv3_small_075_Opset16.onnx
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diff --git a/Computer_Vision/tf_mobilenetv3_small_075_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/tf_mobilenetv3_small_075_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..132fd6eaf
--- /dev/null
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diff --git a/Computer_Vision/tf_mobilenetv3_small_075_Opset17_timm/tf_mobilenetv3_small_075_Opset17.onnx b/Computer_Vision/tf_mobilenetv3_small_075_Opset17_timm/tf_mobilenetv3_small_075_Opset17.onnx
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--- /dev/null
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new file mode 100644
index 000000000..46c79d745
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diff --git a/Computer_Vision/tf_mobilenetv3_small_minimal_100_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/tf_mobilenetv3_small_minimal_100_Opset17_timm/turnkey_stats.yaml
new file mode 100644
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--- /dev/null
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index 000000000..e6afe2e7c
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new file mode 100644
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--- /dev/null
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diff --git a/Computer_Vision/tinynet_d_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/tinynet_d_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..d7dacf02c
--- /dev/null
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--- /dev/null
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index 000000000..06c7097db
--- /dev/null
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index 000000000..7bc6d503a
--- /dev/null
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new file mode 100644
index 000000000..7122343b4
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diff --git a/Computer_Vision/tnt_s_patch16_224_Opset17_timm/tnt_s_patch16_224_Opset17.onnx b/Computer_Vision/tnt_s_patch16_224_Opset17_timm/tnt_s_patch16_224_Opset17.onnx
new file mode 100644
index 000000000..e310cf4ca
--- /dev/null
+++ b/Computer_Vision/tnt_s_patch16_224_Opset17_timm/tnt_s_patch16_224_Opset17.onnx
@@ -0,0 +1,3 @@
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diff --git a/Computer_Vision/tnt_s_patch16_224_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/tnt_s_patch16_224_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..a0e70d00b
--- /dev/null
+++ b/Computer_Vision/tnt_s_patch16_224_Opset17_timm/turnkey_stats.yaml
@@ -0,0 +1,219 @@
+author: timm
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+    runtime: ort
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+class: TNT
+hash: a0c0ebb2
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diff --git a/Computer_Vision/tnt_s_patch16_224_Opset18_timm/tnt_s_patch16_224_Opset18.onnx b/Computer_Vision/tnt_s_patch16_224_Opset18_timm/tnt_s_patch16_224_Opset18.onnx
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--- /dev/null
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diff --git a/Computer_Vision/tnt_s_patch16_224_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/tnt_s_patch16_224_Opset18_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..f2baa25a7
--- /dev/null
+++ b/Computer_Vision/tnt_s_patch16_224_Opset18_timm/turnkey_stats.yaml
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+author: timm
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+    runtime: ort
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+hash: a0c0ebb2
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+  - 224
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+  OEM System: Virtual Machine
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+  - typeguard==4.1.5
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+  - wheel==0.41.2
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+  - xxhash==3.4.1
+  - yacs==0.1.8
+  - yarl==1.9.2
+  - zipp==3.17.0
+task: Computer_Vision
diff --git a/Computer_Vision/tv_resnet101_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/tv_resnet101_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..8e7123784
--- /dev/null
+++ b/Computer_Vision/tv_resnet101_Opset16_timm/turnkey_stats.yaml
@@ -0,0 +1,200 @@
+author: timm
+builds:
+  x86_ort:
+    all_build_stages:
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+    - set_success
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+      set_success: 0.01756000518798828
+    device_type: x86
+    iterations: 100
+    onnx_file: /home/azureuser/.cache/turnkey/tv_resnet101_timm_05a06cd7/onnx/tv_resnet101_timm_05a06cd7-op16-base.onnx
+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/tv_resnet101.py
+class: ResNet
+hash: '57509176'
+model_name: tv_resnet101
+onnx_input_dimensions:
+  x:
+  - 1
+  - 3
+  - 224
+  - 224
+onnx_model_information:
+  ir_version: 8
+  opset: 16
+  size on disk (KiB): 173861.5811
+onnx_ops_counter:
+  Add: 33
+  Conv: 104
+  Flatten: 1
+  Gemm: 1
+  GlobalAveragePool: 1
+  MaxPool: 1
+  Relu: 100
+parameters: 44549160
+system_info:
+  Memory Info: 62.79 GB
+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
+  Processor: Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
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diff --git a/Computer_Vision/tv_resnet101_Opset16_timm/tv_resnet101_Opset16.onnx b/Computer_Vision/tv_resnet101_Opset16_timm/tv_resnet101_Opset16.onnx
new file mode 100644
index 000000000..dee6e5b60
--- /dev/null
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diff --git a/Computer_Vision/tv_resnet101_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/tv_resnet101_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..6d26b3bf0
--- /dev/null
+++ b/Computer_Vision/tv_resnet101_Opset17_timm/turnkey_stats.yaml
@@ -0,0 +1,200 @@
+author: timm
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+    onnx_file: /home/azureuser/.cache/turnkey/tv_resnet101_timm_05a06cd7/onnx/tv_resnet101_timm_05a06cd7-op17-base.onnx
+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/tv_resnet101.py
+class: ResNet
+hash: '57509176'
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+  - 224
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+  Add: 33
+  Conv: 104
+  Flatten: 1
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+  GlobalAveragePool: 1
+  MaxPool: 1
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+parameters: 44549160
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+  OEM System: Virtual Machine
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diff --git a/Computer_Vision/tv_resnet101_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/tv_resnet101_Opset18_timm/turnkey_stats.yaml
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index 000000000..91ea34192
--- /dev/null
+++ b/Computer_Vision/tv_resnet101_Opset18_timm/turnkey_stats.yaml
@@ -0,0 +1,200 @@
+author: timm
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+    iterations: 100
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/tv_resnet101.py
+class: ResNet
+hash: '57509176'
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+  Conv: 104
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+  MaxPool: 1
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+parameters: 44549160
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--- /dev/null
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diff --git a/Computer_Vision/tv_resnet152_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/tv_resnet152_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..e0158a9af
--- /dev/null
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+hash: d48a3c83
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index 000000000..335f7818f
--- /dev/null
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diff --git a/Computer_Vision/tv_resnet152_Opset17_timm/tv_resnet152_Opset17.onnx b/Computer_Vision/tv_resnet152_Opset17_timm/tv_resnet152_Opset17.onnx
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diff --git a/Computer_Vision/tv_resnet152_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/tv_resnet152_Opset18_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..7327c833d
--- /dev/null
+++ b/Computer_Vision/tv_resnet152_Opset18_timm/turnkey_stats.yaml
@@ -0,0 +1,200 @@
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new file mode 100644
index 000000000..d183ad074
--- /dev/null
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diff --git a/Computer_Vision/tv_resnet34_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/tv_resnet34_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..c8ee40021
--- /dev/null
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+author: timm
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index 000000000..156233275
--- /dev/null
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+author: timm
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--- /dev/null
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diff --git a/Computer_Vision/tv_resnet34_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/tv_resnet34_Opset18_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..2985c8e64
--- /dev/null
+++ b/Computer_Vision/tv_resnet34_Opset18_timm/turnkey_stats.yaml
@@ -0,0 +1,200 @@
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/tv_resnet34.py
+class: ResNet
+hash: 3765d65b
+model_name: tv_resnet34
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+  x:
+  - 1
+  - 3
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new file mode 100644
index 000000000..78ae26b6c
--- /dev/null
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+author: timm
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+    runtime: ort
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+class: ResNet
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+  Conv: 53
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diff --git a/Computer_Vision/tv_resnet50_Opset16_timm/tv_resnet50_Opset16.onnx b/Computer_Vision/tv_resnet50_Opset16_timm/tv_resnet50_Opset16.onnx
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diff --git a/Computer_Vision/tv_resnet50_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/tv_resnet50_Opset17_timm/turnkey_stats.yaml
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index 000000000..d191c3dbd
--- /dev/null
+++ b/Computer_Vision/tv_resnet50_Opset17_timm/turnkey_stats.yaml
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+author: timm
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+    runtime: ort
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diff --git a/Computer_Vision/tv_resnet50_Opset17_timm/tv_resnet50_Opset17.onnx b/Computer_Vision/tv_resnet50_Opset17_timm/tv_resnet50_Opset17.onnx
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--- /dev/null
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diff --git a/Computer_Vision/tv_resnet50_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/tv_resnet50_Opset18_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..5c6a2592e
--- /dev/null
+++ b/Computer_Vision/tv_resnet50_Opset18_timm/turnkey_stats.yaml
@@ -0,0 +1,200 @@
+author: timm
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/tv_resnet50.py
+class: ResNet
+hash: 25cce11f
+model_name: tv_resnet50
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+  - 1
+  - 3
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+  Add: 16
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+  Relu: 49
+parameters: 25557032
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diff --git a/Computer_Vision/tv_resnext50_32x4d_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/tv_resnext50_32x4d_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..61ecd12a7
--- /dev/null
+++ b/Computer_Vision/tv_resnext50_32x4d_Opset16_timm/turnkey_stats.yaml
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+author: timm
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/tv_resnext50_32x4d.py
+class: ResNet
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diff --git a/Computer_Vision/tv_resnext50_32x4d_Opset16_timm/tv_resnext50_32x4d_Opset16.onnx b/Computer_Vision/tv_resnext50_32x4d_Opset16_timm/tv_resnext50_32x4d_Opset16.onnx
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diff --git a/Computer_Vision/tv_resnext50_32x4d_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/tv_resnext50_32x4d_Opset17_timm/turnkey_stats.yaml
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index 000000000..cf9397dbe
--- /dev/null
+++ b/Computer_Vision/tv_resnext50_32x4d_Opset17_timm/turnkey_stats.yaml
@@ -0,0 +1,200 @@
+author: timm
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+  - 3
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+  - 224
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+  Conv: 53
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diff --git a/Computer_Vision/tv_resnext50_32x4d_Opset17_timm/tv_resnext50_32x4d_Opset17.onnx b/Computer_Vision/tv_resnext50_32x4d_Opset17_timm/tv_resnext50_32x4d_Opset17.onnx
new file mode 100644
index 000000000..7c64a5b61
--- /dev/null
+++ b/Computer_Vision/tv_resnext50_32x4d_Opset17_timm/tv_resnext50_32x4d_Opset17.onnx
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:90e5d60297796e45d09d912cdb2010b7f84287244c92c21f412ab23c1e1b2b9f
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diff --git a/Computer_Vision/tv_resnext50_32x4d_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/tv_resnext50_32x4d_Opset18_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..3b16158c9
--- /dev/null
+++ b/Computer_Vision/tv_resnext50_32x4d_Opset18_timm/turnkey_stats.yaml
@@ -0,0 +1,200 @@
+author: timm
+builds:
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+      set_success: 0.017419815063476562
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/tv_resnext50_32x4d.py
+class: ResNet
+hash: baf7f18f
+model_name: tv_resnext50_32x4d
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+  x:
+  - 1
+  - 3
+  - 224
+  - 224
+onnx_model_information:
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+  opset: 18
+  size on disk (KiB): 97659.6924
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+  Add: 16
+  Conv: 53
+  Flatten: 1
+  Gemm: 1
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+  MaxPool: 1
+  Relu: 49
+parameters: 25028904
+system_info:
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+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
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diff --git a/Computer_Vision/tv_resnext50_32x4d_Opset18_timm/tv_resnext50_32x4d_Opset18.onnx b/Computer_Vision/tv_resnext50_32x4d_Opset18_timm/tv_resnext50_32x4d_Opset18.onnx
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diff --git a/Computer_Vision/twins_pcpvt_base_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/twins_pcpvt_base_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..2288c8610
--- /dev/null
+++ b/Computer_Vision/twins_pcpvt_base_Opset16_timm/turnkey_stats.yaml
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+author: timm
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/twins_pcpvt_base.py
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+  Mul: 198
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+  ReduceMean: 173
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+  Shape: 36
+  Slice: 36
+  Softmax: 28
+  Split: 28
+  Sqrt: 170
+  Squeeze: 56
+  Sub: 86
+  Transpose: 177
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+  OEM System: Virtual Machine
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diff --git a/Computer_Vision/twins_pcpvt_large_Opset17_timm/twins_pcpvt_large_Opset17.onnx b/Computer_Vision/twins_pcpvt_large_Opset17_timm/twins_pcpvt_large_Opset17.onnx
new file mode 100644
index 000000000..96e9893c0
--- /dev/null
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@@ -0,0 +1,3 @@
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diff --git a/Computer_Vision/twins_pcpvt_small_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/twins_pcpvt_small_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..be4b64f84
--- /dev/null
+++ b/Computer_Vision/twins_pcpvt_small_Opset16_timm/turnkey_stats.yaml
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diff --git a/Computer_Vision/twins_pcpvt_small_Opset16_timm/twins_pcpvt_small_Opset16.onnx b/Computer_Vision/twins_pcpvt_small_Opset16_timm/twins_pcpvt_small_Opset16.onnx
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new file mode 100644
index 000000000..c33d679a5
--- /dev/null
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diff --git a/Computer_Vision/twins_svt_large_Opset16_timm/twins_svt_large_Opset16.onnx b/Computer_Vision/twins_svt_large_Opset16_timm/twins_svt_large_Opset16.onnx
new file mode 100644
index 000000000..68b834814
--- /dev/null
+++ b/Computer_Vision/twins_svt_large_Opset16_timm/twins_svt_large_Opset16.onnx
@@ -0,0 +1,3 @@
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diff --git a/Computer_Vision/twins_svt_large_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/twins_svt_large_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..f42bd9b4a
--- /dev/null
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index 000000000..1c5b12093
--- /dev/null
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+author: timm
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new file mode 100644
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diff --git a/Computer_Vision/vgg11_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/vgg11_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..de137261d
--- /dev/null
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index 000000000..0050eecd8
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diff --git a/Computer_Vision/vgg11_Opset17_torch_hub/vgg11_Opset17.onnx b/Computer_Vision/vgg11_Opset17_torch_hub/vgg11_Opset17.onnx
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index 000000000..25e0af7fa
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index 000000000..55ed6fc32
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index 000000000..6014aadd4
--- /dev/null
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diff --git a/Computer_Vision/vgg11_bn_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/vgg11_bn_Opset18_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..54576543d
--- /dev/null
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index 000000000..be546ad28
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index 000000000..26fb54659
--- /dev/null
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new file mode 100644
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--- /dev/null
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new file mode 100644
index 000000000..b969863df
--- /dev/null
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index 000000000..8bc979207
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index 000000000..152a19b73
--- /dev/null
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new file mode 100644
index 000000000..283e745a9
--- /dev/null
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diff --git a/Computer_Vision/vgg16_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/vgg16_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..5b55b510c
--- /dev/null
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new file mode 100644
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index 000000000..32d571136
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index 000000000..0db1aa6bc
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index 000000000..544cf386d
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index 000000000..98169f795
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index 000000000..0364fd2c1
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index 000000000..f49dcee04
--- /dev/null
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new file mode 100644
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index 000000000..31b8fcab3
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index 000000000..1572c10e3
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diff --git a/Computer_Vision/visformer_small_Opset16_timm/visformer_small_Opset16.onnx b/Computer_Vision/visformer_small_Opset16_timm/visformer_small_Opset16.onnx
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index 000000000..515a065d3
--- /dev/null
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index 000000000..d54e8400a
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index 000000000..ed0aaab5d
--- /dev/null
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new file mode 100644
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new file mode 100644
index 000000000..027cb435e
--- /dev/null
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index 000000000..90049d9ea
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diff --git a/Computer_Vision/vit_b_16_Opset16_torch_hub/vit_b_16_Opset16.onnx b/Computer_Vision/vit_b_16_Opset16_torch_hub/vit_b_16_Opset16.onnx
new file mode 100644
index 000000000..fe0bfc151
--- /dev/null
+++ b/Computer_Vision/vit_b_16_Opset16_torch_hub/vit_b_16_Opset16.onnx
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diff --git a/Computer_Vision/vit_b_16_Opset17_torch_hub/turnkey_stats.yaml b/Computer_Vision/vit_b_16_Opset17_torch_hub/turnkey_stats.yaml
new file mode 100644
index 000000000..f5e7c3a66
--- /dev/null
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+author: torch_hub
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+    runtime: ort
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diff --git a/Computer_Vision/vit_b_16_Opset18_torch_hub/turnkey_stats.yaml b/Computer_Vision/vit_b_16_Opset18_torch_hub/turnkey_stats.yaml
new file mode 100644
index 000000000..6c1237832
--- /dev/null
+++ b/Computer_Vision/vit_b_16_Opset18_torch_hub/turnkey_stats.yaml
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+author: torch_hub
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--- /dev/null
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diff --git a/Computer_Vision/vit_b_32_Opset18_torch_hub/vit_b_32_Opset18.onnx b/Computer_Vision/vit_b_32_Opset18_torch_hub/vit_b_32_Opset18.onnx
new file mode 100644
index 000000000..d5eae8251
--- /dev/null
+++ b/Computer_Vision/vit_b_32_Opset18_torch_hub/vit_b_32_Opset18.onnx
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diff --git a/Computer_Vision/vit_base_patch16_224_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/vit_base_patch16_224_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..b0d51030e
--- /dev/null
+++ b/Computer_Vision/vit_base_patch16_224_Opset16_timm/turnkey_stats.yaml
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+    runtime: ort
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diff --git a/Computer_Vision/vit_base_patch16_224_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/vit_base_patch16_224_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..0c91d32e4
--- /dev/null
+++ b/Computer_Vision/vit_base_patch16_224_Opset17_timm/turnkey_stats.yaml
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+author: timm
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diff --git a/Computer_Vision/vit_base_patch16_224_dino_Opset17_timm/vit_base_patch16_224_dino_Opset17.onnx b/Computer_Vision/vit_base_patch16_224_dino_Opset17_timm/vit_base_patch16_224_dino_Opset17.onnx
new file mode 100644
index 000000000..776d63ff8
--- /dev/null
+++ b/Computer_Vision/vit_base_patch16_224_dino_Opset17_timm/vit_base_patch16_224_dino_Opset17.onnx
@@ -0,0 +1,3 @@
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diff --git a/Computer_Vision/vit_base_patch16_224_dino_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/vit_base_patch16_224_dino_Opset18_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..534cb2188
--- /dev/null
+++ b/Computer_Vision/vit_base_patch16_224_dino_Opset18_timm/turnkey_stats.yaml
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--- /dev/null
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diff --git a/Computer_Vision/vit_base_patch16_224_miil_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/vit_base_patch16_224_miil_Opset17_timm/turnkey_stats.yaml
new file mode 100644
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--- /dev/null
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diff --git a/Computer_Vision/vit_base_patch16_224_miil_in21k_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/vit_base_patch16_224_miil_in21k_Opset16_timm/turnkey_stats.yaml
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+    runtime: ort
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diff --git a/Computer_Vision/vit_base_patch16_224_miil_in21k_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/vit_base_patch16_224_miil_in21k_Opset17_timm/turnkey_stats.yaml
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+author: timm
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+    runtime: ort
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diff --git a/Computer_Vision/vit_base_patch16_224_miil_in21k_Opset17_timm/vit_base_patch16_224_miil_in21k_Opset17.onnx b/Computer_Vision/vit_base_patch16_224_miil_in21k_Opset17_timm/vit_base_patch16_224_miil_in21k_Opset17.onnx
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--- /dev/null
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diff --git a/Computer_Vision/vit_base_patch32_224_Opset17_timm/vit_base_patch32_224_Opset17.onnx b/Computer_Vision/vit_base_patch32_224_Opset17_timm/vit_base_patch32_224_Opset17.onnx
new file mode 100644
index 000000000..609ed2b75
--- /dev/null
+++ b/Computer_Vision/vit_base_patch32_224_Opset17_timm/vit_base_patch32_224_Opset17.onnx
@@ -0,0 +1,3 @@
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diff --git a/Computer_Vision/vit_base_patch32_224_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/vit_base_patch32_224_Opset18_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..5cde57888
--- /dev/null
+++ b/Computer_Vision/vit_base_patch32_224_Opset18_timm/turnkey_stats.yaml
@@ -0,0 +1,217 @@
+author: timm
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/vit_base_patch32_224.py
+class: VisionTransformer
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+  - 224
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+  Shape: 13
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diff --git a/Computer_Vision/vit_base_patch32_224_in21k_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/vit_base_patch32_224_in21k_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..3f4ba7642
--- /dev/null
+++ b/Computer_Vision/vit_base_patch32_224_in21k_Opset16_timm/turnkey_stats.yaml
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+author: timm
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+    runtime: ort
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+hash: 638fe1cf
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+  - 224
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new file mode 100644
index 000000000..0c655a983
--- /dev/null
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diff --git a/Computer_Vision/vit_base_patch32_384_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/vit_base_patch32_384_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..a2e6788b9
--- /dev/null
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index 000000000..78379a076
--- /dev/null
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index 000000000..0bc344d1c
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--- /dev/null
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diff --git a/Computer_Vision/vit_base_patch8_224_dino_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/vit_base_patch8_224_dino_Opset16_timm/turnkey_stats.yaml
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diff --git a/Computer_Vision/vit_base_patch8_224_in21k_Opset17_timm/vit_base_patch8_224_in21k_Opset17.onnx b/Computer_Vision/vit_base_patch8_224_in21k_Opset17_timm/vit_base_patch8_224_in21k_Opset17.onnx
new file mode 100644
index 000000000..782e64d2b
--- /dev/null
+++ b/Computer_Vision/vit_base_patch8_224_in21k_Opset17_timm/vit_base_patch8_224_in21k_Opset17.onnx
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diff --git a/Computer_Vision/vit_base_patch8_224_in21k_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/vit_base_patch8_224_in21k_Opset18_timm/turnkey_stats.yaml
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new file mode 100644
index 000000000..82660eb7b
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diff --git a/Computer_Vision/vit_l_32_Opset16_torch_hub/vit_l_32_Opset16.onnx b/Computer_Vision/vit_l_32_Opset16_torch_hub/vit_l_32_Opset16.onnx
new file mode 100644
index 000000000..aa655cf69
--- /dev/null
+++ b/Computer_Vision/vit_l_32_Opset16_torch_hub/vit_l_32_Opset16.onnx
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diff --git a/Computer_Vision/vit_l_32_Opset17_torch_hub/turnkey_stats.yaml b/Computer_Vision/vit_l_32_Opset17_torch_hub/turnkey_stats.yaml
new file mode 100644
index 000000000..c6b4ae3b3
--- /dev/null
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new file mode 100644
index 000000000..61ad36186
--- /dev/null
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diff --git a/Computer_Vision/vit_large_patch16_384_Opset17_timm/vit_large_patch16_384_Opset17.onnx b/Computer_Vision/vit_large_patch16_384_Opset17_timm/vit_large_patch16_384_Opset17.onnx
new file mode 100644
index 000000000..adb16f912
--- /dev/null
+++ b/Computer_Vision/vit_large_patch16_384_Opset17_timm/vit_large_patch16_384_Opset17.onnx
@@ -0,0 +1,3 @@
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diff --git a/Computer_Vision/vit_large_patch16_384_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/vit_large_patch16_384_Opset18_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..2a24ffabd
--- /dev/null
+++ b/Computer_Vision/vit_large_patch16_384_Opset18_timm/turnkey_stats.yaml
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new file mode 100644
index 000000000..6c9d34a78
--- /dev/null
+++ b/Computer_Vision/vit_large_patch32_384_Opset16_timm/turnkey_stats.yaml
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diff --git a/Computer_Vision/vit_relpos_base_patch16_224_Opset16_timm/vit_relpos_base_patch16_224_Opset16.onnx b/Computer_Vision/vit_relpos_base_patch16_224_Opset16_timm/vit_relpos_base_patch16_224_Opset16.onnx
new file mode 100644
index 000000000..9f1644f30
--- /dev/null
+++ b/Computer_Vision/vit_relpos_base_patch16_224_Opset16_timm/vit_relpos_base_patch16_224_Opset16.onnx
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diff --git a/Computer_Vision/vit_relpos_base_patch16_224_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/vit_relpos_base_patch16_224_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..05a690b39
--- /dev/null
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index 000000000..624a22f44
--- /dev/null
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new file mode 100644
index 000000000..b13ce70d4
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+++ b/Computer_Vision/vit_relpos_base_patch32_plus_rpn_256_Opset17_timm/vit_relpos_base_patch32_plus_rpn_256_Opset17.onnx
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diff --git a/Computer_Vision/vit_relpos_medium_patch16_224_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/vit_relpos_medium_patch16_224_Opset16_timm/turnkey_stats.yaml
new file mode 100644
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diff --git a/Computer_Vision/vit_relpos_medium_patch16_cls_224_Opset18_timm/vit_relpos_medium_patch16_cls_224_Opset18.onnx b/Computer_Vision/vit_relpos_medium_patch16_cls_224_Opset18_timm/vit_relpos_medium_patch16_cls_224_Opset18.onnx
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diff --git a/Computer_Vision/vit_relpos_medium_patch16_rpn_224_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/vit_relpos_medium_patch16_rpn_224_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..6beba515c
--- /dev/null
+++ b/Computer_Vision/vit_relpos_medium_patch16_rpn_224_Opset16_timm/turnkey_stats.yaml
@@ -0,0 +1,217 @@
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new file mode 100644
index 000000000..0bc01d723
--- /dev/null
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diff --git a/Computer_Vision/vit_relpos_small_patch16_224_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/vit_relpos_small_patch16_224_Opset16_timm/turnkey_stats.yaml
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new file mode 100644
index 000000000..788de1a05
--- /dev/null
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new file mode 100644
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diff --git a/Computer_Vision/vit_small_patch32_224_in21k_Opset18_timm/vit_small_patch32_224_in21k_Opset18.onnx b/Computer_Vision/vit_small_patch32_224_in21k_Opset18_timm/vit_small_patch32_224_in21k_Opset18.onnx
new file mode 100644
index 000000000..d90185501
--- /dev/null
+++ b/Computer_Vision/vit_small_patch32_224_in21k_Opset18_timm/vit_small_patch32_224_in21k_Opset18.onnx
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diff --git a/Computer_Vision/vit_small_patch32_384_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/vit_small_patch32_384_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..26035fb85
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index 000000000..80a316656
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+++ b/Computer_Vision/vit_small_patch8_224_dino_Opset17_timm/vit_small_patch8_224_dino_Opset17.onnx
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diff --git a/Computer_Vision/vit_small_patch8_224_dino_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/vit_small_patch8_224_dino_Opset18_timm/turnkey_stats.yaml
new file mode 100644
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new file mode 100644
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new file mode 100644
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diff --git a/Computer_Vision/wide_resnet101_2_Opset16_timm/wide_resnet101_2_Opset16.onnx b/Computer_Vision/wide_resnet101_2_Opset16_timm/wide_resnet101_2_Opset16.onnx
new file mode 100644
index 000000000..47ac2070d
--- /dev/null
+++ b/Computer_Vision/wide_resnet101_2_Opset16_timm/wide_resnet101_2_Opset16.onnx
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diff --git a/Computer_Vision/wide_resnet101_2_Opset16_torch_hub/turnkey_stats.yaml b/Computer_Vision/wide_resnet101_2_Opset16_torch_hub/turnkey_stats.yaml
new file mode 100644
index 000000000..02f3b6650
--- /dev/null
+++ b/Computer_Vision/wide_resnet101_2_Opset16_torch_hub/turnkey_stats.yaml
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+author: torch_hub
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+      set_success: 0.019757986068725586
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+    onnx_file: /home/azureuser/.cache/turnkey/wide_resnet101_2_torch_hub_a638ebdd/onnx/wide_resnet101_2_torch_hub_a638ebdd-op16-base.onnx
+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/torch_hub/wide_resnet101_2.py
+class: ResNet
+hash: 0eb07645
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+  - 1
+  - 3
+  - 224
+  - 224
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+  ir_version: 8
+  opset: 16
+  size on disk (KiB): 495429.5566
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+  Add: 33
+  Conv: 104
+  Flatten: 1
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+parameters: 126886696
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diff --git a/Computer_Vision/wide_resnet101_2_Opset16_torch_hub/wide_resnet101_2_Opset16.onnx b/Computer_Vision/wide_resnet101_2_Opset16_torch_hub/wide_resnet101_2_Opset16.onnx
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diff --git a/Computer_Vision/wide_resnet101_2_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/wide_resnet101_2_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..1286bf8ce
--- /dev/null
+++ b/Computer_Vision/wide_resnet101_2_Opset17_timm/turnkey_stats.yaml
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+author: timm
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+      set_success: 0.019723176956176758
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+    onnx_file: /home/azureuser/.cache/turnkey/wide_resnet101_2_timm_f400edc9/onnx/wide_resnet101_2_timm_f400edc9-op17-base.onnx
+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/wide_resnet101_2.py
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+  - 224
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+  Add: 33
+  Conv: 104
+  Flatten: 1
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+  GlobalAveragePool: 1
+  MaxPool: 1
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+parameters: 126886696
+system_info:
+  Memory Info: 62.79 GB
+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
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diff --git a/Computer_Vision/wide_resnet101_2_Opset17_torch_hub/turnkey_stats.yaml b/Computer_Vision/wide_resnet101_2_Opset17_torch_hub/turnkey_stats.yaml
new file mode 100644
index 000000000..05e967556
--- /dev/null
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+    runtime: ort
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index 000000000..d589e7968
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new file mode 100644
index 000000000..203c47701
--- /dev/null
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--- /dev/null
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diff --git a/Computer_Vision/wide_resnet50_2_Opset16_timm/turnkey_stats.yaml b/Computer_Vision/wide_resnet50_2_Opset16_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..f6c6b52bc
--- /dev/null
+++ b/Computer_Vision/wide_resnet50_2_Opset16_timm/turnkey_stats.yaml
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+    runtime: ort
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+  - 224
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+  ir_version: 8
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+  Add: 16
+  Conv: 53
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+  Relu: 49
+parameters: 68883240
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diff --git a/Computer_Vision/wide_resnet50_2_Opset16_torch_hub/turnkey_stats.yaml b/Computer_Vision/wide_resnet50_2_Opset16_torch_hub/turnkey_stats.yaml
new file mode 100644
index 000000000..e5e651040
--- /dev/null
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+    runtime: ort
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+parameters: 68883240
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diff --git a/Computer_Vision/wide_resnet50_2_Opset16_torch_hub/wide_resnet50_2_Opset16.onnx b/Computer_Vision/wide_resnet50_2_Opset16_torch_hub/wide_resnet50_2_Opset16.onnx
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new file mode 100644
index 000000000..3efafdb3f
--- /dev/null
+++ b/Computer_Vision/wide_resnet50_2_Opset17_timm/turnkey_stats.yaml
@@ -0,0 +1,200 @@
+author: timm
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/wide_resnet50_2.py
+class: ResNet
+hash: 99c5b776
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+  - 224
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+  Add: 16
+  Conv: 53
+  Flatten: 1
+  Gemm: 1
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+  MaxPool: 1
+  Relu: 49
+parameters: 68883240
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new file mode 100644
index 000000000..25084669a
--- /dev/null
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index 000000000..312a8f069
--- /dev/null
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+author: timm
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new file mode 100644
index 000000000..7353fed65
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diff --git a/Computer_Vision/xception41_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/xception41_Opset18_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..760879929
--- /dev/null
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index 000000000..1a6d64f0d
--- /dev/null
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new file mode 100644
index 000000000..1daac2888
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new file mode 100644
index 000000000..ba3cb261e
--- /dev/null
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index 000000000..c96e6480c
--- /dev/null
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new file mode 100644
index 000000000..bd7612243
--- /dev/null
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index 000000000..49e2478a0
--- /dev/null
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new file mode 100644
index 000000000..fba3ed0c5
--- /dev/null
+++ b/Computer_Vision/xception65p_Opset16_timm/xception65p_Opset16.onnx
@@ -0,0 +1,3 @@
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+size 159334474
diff --git a/Computer_Vision/xception65p_Opset17_timm/turnkey_stats.yaml b/Computer_Vision/xception65p_Opset17_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..6a768c9b4
--- /dev/null
+++ b/Computer_Vision/xception65p_Opset17_timm/turnkey_stats.yaml
@@ -0,0 +1,200 @@
+author: timm
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/xception65p.py
+class: XceptionAligned
+hash: 04fcc221
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diff --git a/Computer_Vision/xception65p_Opset18_timm/turnkey_stats.yaml b/Computer_Vision/xception65p_Opset18_timm/turnkey_stats.yaml
new file mode 100644
index 000000000..129996c55
--- /dev/null
+++ b/Computer_Vision/xception65p_Opset18_timm/turnkey_stats.yaml
@@ -0,0 +1,200 @@
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+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/xception65p.py
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+hash: 04fcc221
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index 000000000..8779d3c77
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diff --git a/Generative_AI/biogpt_Opset18_transformers/biogpt_Opset18.onnx b/Generative_AI/biogpt_Opset18_transformers/biogpt_Opset18.onnx
new file mode 100644
index 000000000..86e6ca5a5
--- /dev/null
+++ b/Generative_AI/biogpt_Opset18_transformers/biogpt_Opset18.onnx
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diff --git a/Generative_AI/biogpt_Opset18_transformers/turnkey_stats.yaml b/Generative_AI/biogpt_Opset18_transformers/turnkey_stats.yaml
new file mode 100644
index 000000000..844b3c521
--- /dev/null
+++ b/Generative_AI/biogpt_Opset18_transformers/turnkey_stats.yaml
@@ -0,0 +1,213 @@
+author: transformers
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+class: BioGptModel
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diff --git a/Generative_AI/gpt2_Opset16_transformers/gpt2_Opset16.onnx b/Generative_AI/gpt2_Opset16_transformers/gpt2_Opset16.onnx
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index 000000000..c918a22a6
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diff --git a/Generative_AI/gpt2_Opset16_transformers/turnkey_stats.yaml b/Generative_AI/gpt2_Opset16_transformers/turnkey_stats.yaml
new file mode 100644
index 000000000..82c241d80
--- /dev/null
+++ b/Generative_AI/gpt2_Opset16_transformers/turnkey_stats.yaml
@@ -0,0 +1,214 @@
+author: transformers
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diff --git a/Generative_AI/gpt2_Opset17_transformers/gpt2_Opset17.onnx b/Generative_AI/gpt2_Opset17_transformers/gpt2_Opset17.onnx
new file mode 100644
index 000000000..fd2caa742
--- /dev/null
+++ b/Generative_AI/gpt2_Opset17_transformers/gpt2_Opset17.onnx
@@ -0,0 +1,3 @@
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diff --git a/Generative_AI/gpt2_Opset17_transformers/turnkey_stats.yaml b/Generative_AI/gpt2_Opset17_transformers/turnkey_stats.yaml
new file mode 100644
index 000000000..0894c6769
--- /dev/null
+++ b/Generative_AI/gpt2_Opset17_transformers/turnkey_stats.yaml
@@ -0,0 +1,213 @@
+author: transformers
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+    runtime: ort
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+  OEM System: Virtual Machine
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diff --git a/Generative_AI/gpt2_Opset18_transformers/gpt2_Opset18.onnx b/Generative_AI/gpt2_Opset18_transformers/gpt2_Opset18.onnx
new file mode 100644
index 000000000..efab596dc
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diff --git a/Generative_AI/gpt2_Opset18_transformers/turnkey_stats.yaml b/Generative_AI/gpt2_Opset18_transformers/turnkey_stats.yaml
new file mode 100644
index 000000000..6e9b7bc82
--- /dev/null
+++ b/Generative_AI/gpt2_Opset18_transformers/turnkey_stats.yaml
@@ -0,0 +1,213 @@
+author: transformers
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+  Where: 12
+parameters: 124439808
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+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
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diff --git a/Generative_AI/gpt2doubleheads_Opset16_transformers/gpt2doubleheads_Opset16.onnx b/Generative_AI/gpt2doubleheads_Opset16_transformers/gpt2doubleheads_Opset16.onnx
new file mode 100644
index 000000000..95cfffb86
--- /dev/null
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diff --git a/Generative_AI/gpt2doubleheads_Opset16_transformers/turnkey_stats.yaml b/Generative_AI/gpt2doubleheads_Opset16_transformers/turnkey_stats.yaml
new file mode 100644
index 000000000..e14dae251
--- /dev/null
+++ b/Generative_AI/gpt2doubleheads_Opset16_transformers/turnkey_stats.yaml
@@ -0,0 +1,216 @@
+author: transformers
+builds:
+  x86_ort:
+    all_build_stages:
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/transformers/gpt2doubleheads.py
+class: GPT2DoubleHeadsModel
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+  OEM System: Virtual Machine
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+task: Generative_AI
diff --git a/Generative_AI/gpt2doubleheads_Opset17_transformers/gpt2doubleheads_Opset17.onnx b/Generative_AI/gpt2doubleheads_Opset17_transformers/gpt2doubleheads_Opset17.onnx
new file mode 100644
index 000000000..37b585b55
--- /dev/null
+++ b/Generative_AI/gpt2doubleheads_Opset17_transformers/gpt2doubleheads_Opset17.onnx
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
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+size 652497370
diff --git a/Generative_AI/gpt2doubleheads_Opset17_transformers/turnkey_stats.yaml b/Generative_AI/gpt2doubleheads_Opset17_transformers/turnkey_stats.yaml
new file mode 100644
index 000000000..2341b46f3
--- /dev/null
+++ b/Generative_AI/gpt2doubleheads_Opset17_transformers/turnkey_stats.yaml
@@ -0,0 +1,215 @@
+author: transformers
+builds:
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/transformers/gpt2doubleheads.py
+class: GPT2DoubleHeadsModel
+hash: c6575c62
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+  - 1
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+  Sub: 1
+  Tanh: 12
+  Transpose: 60
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+  Where: 12
+parameters: 163037953
+system_info:
+  Memory Info: 62.79 GB
+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
+  Processor: Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
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+task: Generative_AI
diff --git a/Generative_AI/gpt2doubleheads_Opset18_transformers/gpt2doubleheads_Opset18.onnx b/Generative_AI/gpt2doubleheads_Opset18_transformers/gpt2doubleheads_Opset18.onnx
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index 000000000..4dfab44c7
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+version https://git-lfs.github.com/spec/v1
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diff --git a/Generative_AI/gpt2doubleheads_Opset18_transformers/turnkey_stats.yaml b/Generative_AI/gpt2doubleheads_Opset18_transformers/turnkey_stats.yaml
new file mode 100644
index 000000000..50e9a17f5
--- /dev/null
+++ b/Generative_AI/gpt2doubleheads_Opset18_transformers/turnkey_stats.yaml
@@ -0,0 +1,215 @@
+author: transformers
+builds:
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+    runtime: ort
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+hash: c6575c62
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+  Sub: 1
+  Tanh: 12
+  Transpose: 60
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+  Where: 12
+parameters: 163037953
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+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
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+task: Generative_AI
diff --git a/Generative_AI/gpt2lmhead_Opset16_transformers/gpt2lmhead_Opset16.onnx b/Generative_AI/gpt2lmhead_Opset16_transformers/gpt2lmhead_Opset16.onnx
new file mode 100644
index 000000000..953fdbc4f
--- /dev/null
+++ b/Generative_AI/gpt2lmhead_Opset16_transformers/gpt2lmhead_Opset16.onnx
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diff --git a/Generative_AI/gpt2lmhead_Opset16_transformers/turnkey_stats.yaml b/Generative_AI/gpt2lmhead_Opset16_transformers/turnkey_stats.yaml
new file mode 100644
index 000000000..cedb0fd85
--- /dev/null
+++ b/Generative_AI/gpt2lmhead_Opset16_transformers/turnkey_stats.yaml
@@ -0,0 +1,214 @@
+author: transformers
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+    runtime: ort
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+class: GPT2LMHeadModel
+hash: 3ce65e43
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+  Where: 12
+parameters: 163037184
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+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
+  Processor: Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
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diff --git a/Generative_AI/gpt2lmhead_Opset17_transformers/gpt2lmhead_Opset17.onnx b/Generative_AI/gpt2lmhead_Opset17_transformers/gpt2lmhead_Opset17.onnx
new file mode 100644
index 000000000..52a18ad9a
--- /dev/null
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+version https://git-lfs.github.com/spec/v1
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diff --git a/Generative_AI/gpt2lmhead_Opset17_transformers/turnkey_stats.yaml b/Generative_AI/gpt2lmhead_Opset17_transformers/turnkey_stats.yaml
new file mode 100644
index 000000000..66fee3d80
--- /dev/null
+++ b/Generative_AI/gpt2lmhead_Opset17_transformers/turnkey_stats.yaml
@@ -0,0 +1,213 @@
+author: transformers
+builds:
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+    runtime: ort
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+class: GPT2LMHeadModel
+hash: 3ce65e43
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+  Sub: 1
+  Tanh: 12
+  Transpose: 60
+  Unsqueeze: 2
+  Where: 12
+parameters: 163037184
+system_info:
+  Memory Info: 62.79 GB
+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
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diff --git a/Generative_AI/gpt2lmhead_Opset18_transformers/gpt2lmhead_Opset18.onnx b/Generative_AI/gpt2lmhead_Opset18_transformers/gpt2lmhead_Opset18.onnx
new file mode 100644
index 000000000..189bb0fd7
--- /dev/null
+++ b/Generative_AI/gpt2lmhead_Opset18_transformers/gpt2lmhead_Opset18.onnx
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+version https://git-lfs.github.com/spec/v1
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diff --git a/Generative_AI/gpt2lmhead_Opset18_transformers/turnkey_stats.yaml b/Generative_AI/gpt2lmhead_Opset18_transformers/turnkey_stats.yaml
new file mode 100644
index 000000000..f6a45e3af
--- /dev/null
+++ b/Generative_AI/gpt2lmhead_Opset18_transformers/turnkey_stats.yaml
@@ -0,0 +1,213 @@
+author: transformers
+builds:
+  x86_ort:
+    all_build_stages:
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+    - set_success
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/transformers/gpt2lmhead.py
+class: GPT2LMHeadModel
+hash: 3ce65e43
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+  Sub: 1
+  Tanh: 12
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+  Where: 12
+parameters: 163037184
+system_info:
+  Memory Info: 62.79 GB
+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
+  Processor: Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
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+task: Generative_AI
diff --git a/Generative_AI/gptbigcode_Opset16_transformers/gptbigcode_Opset16.zip b/Generative_AI/gptbigcode_Opset16_transformers/gptbigcode_Opset16.zip
new file mode 100644
index 000000000..0712f36ec
--- /dev/null
+++ b/Generative_AI/gptbigcode_Opset16_transformers/gptbigcode_Opset16.zip
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
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diff --git a/Generative_AI/gptbigcode_Opset16_transformers/turnkey_stats.yaml b/Generative_AI/gptbigcode_Opset16_transformers/turnkey_stats.yaml
new file mode 100644
index 000000000..3b87835cd
--- /dev/null
+++ b/Generative_AI/gptbigcode_Opset16_transformers/turnkey_stats.yaml
@@ -0,0 +1,215 @@
+author: transformers
+builds:
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/transformers/gptbigcode.py
+class: GPTBigCodeModel
+hash: a94462d8
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+  Softmax: 24
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+  Sqrt: 49
+  Sub: 50
+  Tanh: 24
+  Transpose: 24
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+  Where: 25
+parameters: 1124886528
+system_info:
+  Memory Info: 62.79 GB
+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
+  Processor: Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
+  Python Packages:
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+task: Generative_AI
diff --git a/Generative_AI/gptbigcode_Opset17_transformers/gptbigcode_Opset17.zip b/Generative_AI/gptbigcode_Opset17_transformers/gptbigcode_Opset17.zip
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index 000000000..68078640b
--- /dev/null
+++ b/Generative_AI/gptbigcode_Opset17_transformers/gptbigcode_Opset17.zip
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
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diff --git a/Generative_AI/gptbigcode_Opset17_transformers/turnkey_stats.yaml b/Generative_AI/gptbigcode_Opset17_transformers/turnkey_stats.yaml
new file mode 100644
index 000000000..546d4e4d7
--- /dev/null
+++ b/Generative_AI/gptbigcode_Opset17_transformers/turnkey_stats.yaml
@@ -0,0 +1,212 @@
+author: transformers
+builds:
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/transformers/gptbigcode.py
+class: GPTBigCodeModel
+hash: a94462d8
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+  Transpose: 24
+  Unsqueeze: 1
+  Where: 25
+parameters: 1124886528
+system_info:
+  Memory Info: 62.79 GB
+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
+  Processor: Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
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diff --git a/Generative_AI/gptbigcode_Opset18_transformers/gptbigcode_Opset18.zip b/Generative_AI/gptbigcode_Opset18_transformers/gptbigcode_Opset18.zip
new file mode 100644
index 000000000..65f2e1fd6
--- /dev/null
+++ b/Generative_AI/gptbigcode_Opset18_transformers/gptbigcode_Opset18.zip
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
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diff --git a/Generative_AI/gptbigcode_Opset18_transformers/turnkey_stats.yaml b/Generative_AI/gptbigcode_Opset18_transformers/turnkey_stats.yaml
new file mode 100644
index 000000000..aa96659ab
--- /dev/null
+++ b/Generative_AI/gptbigcode_Opset18_transformers/turnkey_stats.yaml
@@ -0,0 +1,212 @@
+author: transformers
+builds:
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new file mode 100644
index 000000000..c5c1e7db9
--- /dev/null
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diff --git a/Generative_AI/gptj_Opset16_transformers/turnkey_stats.yaml b/Generative_AI/gptj_Opset16_transformers/turnkey_stats.yaml
new file mode 100644
index 000000000..4fa85cfc6
--- /dev/null
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+author: transformers
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+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
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index 000000000..024fee00a
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new file mode 100644
index 000000000..01f5a640b
--- /dev/null
+++ b/Generative_AI/gptj_Opset17_transformers/turnkey_stats.yaml
@@ -0,0 +1,220 @@
+author: transformers
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index 000000000..a376a502d
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index 000000000..6aa670083
--- /dev/null
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--- /dev/null
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index 000000000..7cc18716a
--- /dev/null
+++ b/Generative_AI/gptneox_Opset17_transformers/turnkey_stats.yaml
@@ -0,0 +1,213 @@
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+  Where: 5
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diff --git a/Generative_AI/gptneox_Opset18_transformers/gptneox_Opset18.onnx b/Generative_AI/gptneox_Opset18_transformers/gptneox_Opset18.onnx
new file mode 100644
index 000000000..dd3bdbd0b
--- /dev/null
+++ b/Generative_AI/gptneox_Opset18_transformers/gptneox_Opset18.onnx
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
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+size 1760248
diff --git a/Generative_AI/gptneox_Opset18_transformers/turnkey_stats.yaml b/Generative_AI/gptneox_Opset18_transformers/turnkey_stats.yaml
new file mode 100644
index 000000000..4ae477ff0
--- /dev/null
+++ b/Generative_AI/gptneox_Opset18_transformers/turnkey_stats.yaml
@@ -0,0 +1,213 @@
+author: transformers
+builds:
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+    - set_success
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+    onnx_file: /home/azureuser/.cache/turnkey/gptneox_transformers_c18d0efb/onnx/gptneox_transformers_c18d0efb-op18-base.onnx
+    runtime: ort
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+class: GPTNeoXModel
+hash: 959d4e77
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+  size on disk (KiB): 1719.0244
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+  Add: 55
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+  Slice: 55
+  Softmax: 5
+  Sub: 1
+  Transpose: 25
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+  Where: 5
+parameters: 66777
+system_info:
+  Memory Info: 62.79 GB
+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
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+task: Generative_AI
diff --git a/Generative_AI/openaigpt_Opset16_transformers/openaigpt_Opset16.onnx b/Generative_AI/openaigpt_Opset16_transformers/openaigpt_Opset16.onnx
new file mode 100644
index 000000000..f38792bc3
--- /dev/null
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+version https://git-lfs.github.com/spec/v1
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diff --git a/Generative_AI/openaigpt_Opset16_transformers/turnkey_stats.yaml b/Generative_AI/openaigpt_Opset16_transformers/turnkey_stats.yaml
new file mode 100644
index 000000000..07e7dc742
--- /dev/null
+++ b/Generative_AI/openaigpt_Opset16_transformers/turnkey_stats.yaml
@@ -0,0 +1,212 @@
+author: transformers
+builds:
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+    - set_success
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+    iterations: 100
+    onnx_file: /home/azureuser/.cache/turnkey/openaigpt_transformers_c14dd5ef/onnx/openaigpt_transformers_c14dd5ef-op16-base.onnx
+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/transformers/openaigpt.py
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+  Tanh: 12
+  Transpose: 48
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+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
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--- /dev/null
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diff --git a/Generative_AI/openaigpt_Opset17_transformers/turnkey_stats.yaml b/Generative_AI/openaigpt_Opset17_transformers/turnkey_stats.yaml
new file mode 100644
index 000000000..60e1146ef
--- /dev/null
+++ b/Generative_AI/openaigpt_Opset17_transformers/turnkey_stats.yaml
@@ -0,0 +1,211 @@
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diff --git a/Generative_AI/openaigpt_Opset18_transformers/openaigpt_Opset18.onnx b/Generative_AI/openaigpt_Opset18_transformers/openaigpt_Opset18.onnx
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index 000000000..665d3fb16
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diff --git a/Generative_AI/openaigpt_Opset18_transformers/turnkey_stats.yaml b/Generative_AI/openaigpt_Opset18_transformers/turnkey_stats.yaml
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index 000000000..948ca2e09
--- /dev/null
+++ b/Generative_AI/openaigpt_Opset18_transformers/turnkey_stats.yaml
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+author: transformers
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diff --git a/Generative_AI/openaigptdoubleheads_Opset16_transformers/openaigptdoubleheads_Opset16.onnx b/Generative_AI/openaigptdoubleheads_Opset16_transformers/openaigptdoubleheads_Opset16.onnx
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index 000000000..971e0d93d
--- /dev/null
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+version https://git-lfs.github.com/spec/v1
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diff --git a/Generative_AI/openaigptdoubleheads_Opset16_transformers/turnkey_stats.yaml b/Generative_AI/openaigptdoubleheads_Opset16_transformers/turnkey_stats.yaml
new file mode 100644
index 000000000..d28bf3dcb
--- /dev/null
+++ b/Generative_AI/openaigptdoubleheads_Opset16_transformers/turnkey_stats.yaml
@@ -0,0 +1,214 @@
+author: transformers
+builds:
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+    all_build_stages:
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+    - set_success
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/transformers/openaigptdoubleheads.py
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+  OEM System: Virtual Machine
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+task: Generative_AI
diff --git a/Generative_AI/openaigptdoubleheads_Opset17_transformers/openaigptdoubleheads_Opset17.onnx b/Generative_AI/openaigptdoubleheads_Opset17_transformers/openaigptdoubleheads_Opset17.onnx
new file mode 100644
index 000000000..8570372ed
--- /dev/null
+++ b/Generative_AI/openaigptdoubleheads_Opset17_transformers/openaigptdoubleheads_Opset17.onnx
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+version https://git-lfs.github.com/spec/v1
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+size 592202515
diff --git a/Generative_AI/openaigptdoubleheads_Opset17_transformers/turnkey_stats.yaml b/Generative_AI/openaigptdoubleheads_Opset17_transformers/turnkey_stats.yaml
new file mode 100644
index 000000000..fd7f010e1
--- /dev/null
+++ b/Generative_AI/openaigptdoubleheads_Opset17_transformers/turnkey_stats.yaml
@@ -0,0 +1,213 @@
+author: transformers
+builds:
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/transformers/openaigptdoubleheads.py
+class: OpenAIGPTDoubleHeadsModel
+hash: a7e8e666
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+  Sub: 1
+  Tanh: 12
+  Transpose: 48
+  Unsqueeze: 2
+parameters: 147622657
+system_info:
+  Memory Info: 62.79 GB
+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
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diff --git a/Generative_AI/openaigptdoubleheads_Opset18_transformers/openaigptdoubleheads_Opset18.onnx b/Generative_AI/openaigptdoubleheads_Opset18_transformers/openaigptdoubleheads_Opset18.onnx
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diff --git a/Generative_AI/openaigptdoubleheads_Opset18_transformers/turnkey_stats.yaml b/Generative_AI/openaigptdoubleheads_Opset18_transformers/turnkey_stats.yaml
new file mode 100644
index 000000000..39f138183
--- /dev/null
+++ b/Generative_AI/openaigptdoubleheads_Opset18_transformers/turnkey_stats.yaml
@@ -0,0 +1,213 @@
+author: transformers
+builds:
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+    onnx_file: /home/azureuser/.cache/turnkey/openaigptdoubleheads_transformers_811f9e03/onnx/openaigptdoubleheads_transformers_811f9e03-op18-base.onnx
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+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/transformers/openaigptdoubleheads.py
+class: OpenAIGPTDoubleHeadsModel
+hash: a7e8e666
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+  Softmax: 12
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+  Squeeze: 2
+  Sub: 1
+  Tanh: 12
+  Transpose: 48
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+parameters: 147622657
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+  Memory Info: 62.79 GB
+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
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diff --git a/Generative_AI/openaigptlmhead_Opset16_transformers/openaigptlmhead_Opset16.onnx b/Generative_AI/openaigptlmhead_Opset16_transformers/openaigptlmhead_Opset16.onnx
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index 000000000..4f452626e
--- /dev/null
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diff --git a/Generative_AI/openaigptlmhead_Opset16_transformers/turnkey_stats.yaml b/Generative_AI/openaigptlmhead_Opset16_transformers/turnkey_stats.yaml
new file mode 100644
index 000000000..a5549d7f1
--- /dev/null
+++ b/Generative_AI/openaigptlmhead_Opset16_transformers/turnkey_stats.yaml
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+author: transformers
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diff --git a/Generative_AI/openaigptlmhead_Opset17_transformers/openaigptlmhead_Opset17.onnx b/Generative_AI/openaigptlmhead_Opset17_transformers/openaigptlmhead_Opset17.onnx
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index 000000000..51994c4cf
--- /dev/null
+++ b/Generative_AI/openaigptlmhead_Opset17_transformers/turnkey_stats.yaml
@@ -0,0 +1,211 @@
+author: transformers
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diff --git a/Generative_AI/openaigptlmhead_Opset18_transformers/openaigptlmhead_Opset18.onnx b/Generative_AI/openaigptlmhead_Opset18_transformers/openaigptlmhead_Opset18.onnx
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index 000000000..676d6a2a3
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diff --git a/Generative_AI/openaigptlmhead_Opset18_transformers/turnkey_stats.yaml b/Generative_AI/openaigptlmhead_Opset18_transformers/turnkey_stats.yaml
new file mode 100644
index 000000000..bf885f9e4
--- /dev/null
+++ b/Generative_AI/openaigptlmhead_Opset18_transformers/turnkey_stats.yaml
@@ -0,0 +1,211 @@
+author: transformers
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+  Sub: 1
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diff --git a/Generative_AI/resnet18_Opset16.tar.gz b/Generative_AI/resnet18_Opset16.tar.gz
new file mode 100644
index 000000000..9bd9c0bd4
--- /dev/null
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diff --git a/Graph_Machine_Learning/feastconv_Opset16_graph_convolutions/feastconv_Opset16.onnx b/Graph_Machine_Learning/feastconv_Opset16_graph_convolutions/feastconv_Opset16.onnx
new file mode 100644
index 000000000..a2c0a6eb9
--- /dev/null
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diff --git a/Graph_Machine_Learning/feastconv_Opset16_graph_convolutions/turnkey_stats.yaml b/Graph_Machine_Learning/feastconv_Opset16_graph_convolutions/turnkey_stats.yaml
new file mode 100644
index 000000000..8d78ac9c6
--- /dev/null
+++ b/Graph_Machine_Learning/feastconv_Opset16_graph_convolutions/turnkey_stats.yaml
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+author: graph_convolutions
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+    runtime: ort
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diff --git a/Graph_Machine_Learning/feastconv_Opset17_graph_convolutions/turnkey_stats.yaml b/Graph_Machine_Learning/feastconv_Opset17_graph_convolutions/turnkey_stats.yaml
new file mode 100644
index 000000000..0088f2684
--- /dev/null
+++ b/Graph_Machine_Learning/feastconv_Opset17_graph_convolutions/turnkey_stats.yaml
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+author: graph_convolutions
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new file mode 100644
index 000000000..c595a7a5a
--- /dev/null
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diff --git a/Graph_Machine_Learning/leconv_Opset16_graph_convolutions/turnkey_stats.yaml b/Graph_Machine_Learning/leconv_Opset16_graph_convolutions/turnkey_stats.yaml
new file mode 100644
index 000000000..de0fcab1f
--- /dev/null
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index 000000000..9dcf0078b
--- /dev/null
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+author: graph_convolutions
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new file mode 100644
index 000000000..934c52a88
--- /dev/null
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diff --git a/Graph_Machine_Learning/pnaconv_Opset16_graph_convolutions/turnkey_stats.yaml b/Graph_Machine_Learning/pnaconv_Opset16_graph_convolutions/turnkey_stats.yaml
new file mode 100644
index 000000000..47a1039ce
--- /dev/null
+++ b/Graph_Machine_Learning/pnaconv_Opset16_graph_convolutions/turnkey_stats.yaml
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index 000000000..fa41b0c49
--- /dev/null
+++ b/Graph_Machine_Learning/pnaconv_Opset17_graph_convolutions/turnkey_stats.yaml
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new file mode 100644
index 000000000..7c923fe0f
--- /dev/null
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new file mode 100644
index 000000000..3b4ecb646
--- /dev/null
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index 000000000..18736bf90
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new file mode 100644
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diff --git a/Natural_Language_Processing/albert_Opset16_transformers/turnkey_stats.yaml b/Natural_Language_Processing/albert_Opset16_transformers/turnkey_stats.yaml
new file mode 100644
index 000000000..f6e1fe7c1
--- /dev/null
+++ b/Natural_Language_Processing/albert_Opset16_transformers/turnkey_stats.yaml
@@ -0,0 +1,219 @@
+author: transformers
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+    - set_success
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+    runtime: ort
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+class: AlbertModel
+hash: 179f2b46
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+  Unsqueeze: 2
+  Where: 1
+parameters: 11683584
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+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
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--- /dev/null
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index 000000000..c0f36b030
--- /dev/null
+++ b/Natural_Language_Processing/albert_Opset17_transformers/turnkey_stats.yaml
@@ -0,0 +1,218 @@
+author: transformers
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+  OEM System: Virtual Machine
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diff --git a/Natural_Language_Processing/albert_Opset18_transformers/albert_Opset18.onnx b/Natural_Language_Processing/albert_Opset18_transformers/albert_Opset18.onnx
new file mode 100644
index 000000000..36f92e8dd
--- /dev/null
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+version https://git-lfs.github.com/spec/v1
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index 000000000..24e93b1d3
--- /dev/null
+++ b/Natural_Language_Processing/albert_Opset18_transformers/turnkey_stats.yaml
@@ -0,0 +1,218 @@
+author: transformers
+builds:
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+  OEM System: Virtual Machine
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new file mode 100644
index 000000000..f67378452
--- /dev/null
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diff --git a/Natural_Language_Processing/auto_Opset16_transformers/turnkey_stats.yaml b/Natural_Language_Processing/auto_Opset16_transformers/turnkey_stats.yaml
new file mode 100644
index 000000000..8144fa11a
--- /dev/null
+++ b/Natural_Language_Processing/auto_Opset16_transformers/turnkey_stats.yaml
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index 000000000..9ffbd0bcb
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diff --git a/Natural_Language_Processing/auto_Opset17_transformers/turnkey_stats.yaml b/Natural_Language_Processing/auto_Opset17_transformers/turnkey_stats.yaml
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index 000000000..06444fa3c
--- /dev/null
+++ b/Natural_Language_Processing/auto_Opset17_transformers/turnkey_stats.yaml
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new file mode 100644
index 000000000..be9270fdb
--- /dev/null
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diff --git a/Natural_Language_Processing/auto_Opset18_transformers/turnkey_stats.yaml b/Natural_Language_Processing/auto_Opset18_transformers/turnkey_stats.yaml
new file mode 100644
index 000000000..dbf4cc6e8
--- /dev/null
+++ b/Natural_Language_Processing/auto_Opset18_transformers/turnkey_stats.yaml
@@ -0,0 +1,216 @@
+author: transformers
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new file mode 100644
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--- /dev/null
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diff --git a/Natural_Language_Processing/bart_Opset16_transformers/turnkey_stats.yaml b/Natural_Language_Processing/bart_Opset16_transformers/turnkey_stats.yaml
new file mode 100644
index 000000000..94c358c0e
--- /dev/null
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index 000000000..71efc4cf3
--- /dev/null
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new file mode 100644
index 000000000..0e3dbed0a
--- /dev/null
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diff --git a/Natural_Language_Processing/bert_Opset18_transformers/turnkey_stats.yaml b/Natural_Language_Processing/bert_Opset18_transformers/turnkey_stats.yaml
new file mode 100644
index 000000000..4d412b75a
--- /dev/null
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new file mode 100644
index 000000000..45ebf2185
--- /dev/null
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new file mode 100644
index 000000000..91ffc6f2c
--- /dev/null
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new file mode 100644
index 000000000..b9e6b259a
--- /dev/null
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index 000000000..8cddc63a8
--- /dev/null
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new file mode 100644
index 000000000..311227214
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index 000000000..73d9f1c1d
--- /dev/null
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@@ -0,0 +1,215 @@
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diff --git a/Natural_Language_Processing/bigbird_Opset17_transformers/bigbird_Opset17.onnx b/Natural_Language_Processing/bigbird_Opset17_transformers/bigbird_Opset17.onnx
new file mode 100644
index 000000000..3f476d022
--- /dev/null
+++ b/Natural_Language_Processing/bigbird_Opset17_transformers/bigbird_Opset17.onnx
@@ -0,0 +1,3 @@
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diff --git a/Natural_Language_Processing/bigbird_Opset17_transformers/turnkey_stats.yaml b/Natural_Language_Processing/bigbird_Opset17_transformers/turnkey_stats.yaml
new file mode 100644
index 000000000..c41b8917e
--- /dev/null
+++ b/Natural_Language_Processing/bigbird_Opset17_transformers/turnkey_stats.yaml
@@ -0,0 +1,214 @@
+author: transformers
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diff --git a/Natural_Language_Processing/bigbird_Opset18_transformers/bigbird_Opset18.onnx b/Natural_Language_Processing/bigbird_Opset18_transformers/bigbird_Opset18.onnx
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index 000000000..4cf4a0100
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diff --git a/Natural_Language_Processing/bigbird_Opset18_transformers/turnkey_stats.yaml b/Natural_Language_Processing/bigbird_Opset18_transformers/turnkey_stats.yaml
new file mode 100644
index 000000000..e9f0fdbc9
--- /dev/null
+++ b/Natural_Language_Processing/bigbird_Opset18_transformers/turnkey_stats.yaml
@@ -0,0 +1,214 @@
+author: transformers
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diff --git a/Natural_Language_Processing/bigbirdpegasus_Opset16_transformers/bigbirdpegasus_Opset16.tar.gz b/Natural_Language_Processing/bigbirdpegasus_Opset16_transformers/bigbirdpegasus_Opset16.tar.gz
new file mode 100644
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index 000000000..dc7bc306d
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index 000000000..f6fd169d6
--- /dev/null
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index 000000000..ac9849e78
--- /dev/null
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+author: transformers
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diff --git a/Natural_Language_Processing/blenderbot_Opset16_transformers/blenderbot_Opset16.onnx b/Natural_Language_Processing/blenderbot_Opset16_transformers/blenderbot_Opset16.onnx
new file mode 100644
index 000000000..4686d7ba2
--- /dev/null
+++ b/Natural_Language_Processing/blenderbot_Opset16_transformers/blenderbot_Opset16.onnx
@@ -0,0 +1,3 @@
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+size 1458944751
diff --git a/Natural_Language_Processing/blenderbot_Opset16_transformers/turnkey_stats.yaml b/Natural_Language_Processing/blenderbot_Opset16_transformers/turnkey_stats.yaml
new file mode 100644
index 000000000..ee7e8186f
--- /dev/null
+++ b/Natural_Language_Processing/blenderbot_Opset16_transformers/turnkey_stats.yaml
@@ -0,0 +1,218 @@
+author: transformers
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+class: BlenderbotModel
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diff --git a/Natural_Language_Processing/blenderbot_Opset17_transformers/blenderbot_Opset17.onnx b/Natural_Language_Processing/blenderbot_Opset17_transformers/blenderbot_Opset17.onnx
new file mode 100644
index 000000000..e8683c653
--- /dev/null
+++ b/Natural_Language_Processing/blenderbot_Opset17_transformers/blenderbot_Opset17.onnx
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+version https://git-lfs.github.com/spec/v1
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diff --git a/Natural_Language_Processing/blenderbot_Opset17_transformers/turnkey_stats.yaml b/Natural_Language_Processing/blenderbot_Opset17_transformers/turnkey_stats.yaml
new file mode 100644
index 000000000..538ffbc38
--- /dev/null
+++ b/Natural_Language_Processing/blenderbot_Opset17_transformers/turnkey_stats.yaml
@@ -0,0 +1,216 @@
+author: transformers
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+class: BlenderbotModel
+hash: bf6d8047
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+  OEM System: Virtual Machine
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diff --git a/Natural_Language_Processing/blenderbot_Opset18_transformers/blenderbot_Opset18.onnx b/Natural_Language_Processing/blenderbot_Opset18_transformers/blenderbot_Opset18.onnx
new file mode 100644
index 000000000..4f3861180
--- /dev/null
+++ b/Natural_Language_Processing/blenderbot_Opset18_transformers/blenderbot_Opset18.onnx
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+version https://git-lfs.github.com/spec/v1
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diff --git a/Natural_Language_Processing/blenderbot_Opset18_transformers/turnkey_stats.yaml b/Natural_Language_Processing/blenderbot_Opset18_transformers/turnkey_stats.yaml
new file mode 100644
index 000000000..cc7a92a4c
--- /dev/null
+++ b/Natural_Language_Processing/blenderbot_Opset18_transformers/turnkey_stats.yaml
@@ -0,0 +1,216 @@
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diff --git a/Natural_Language_Processing/blenderbotsmall_Opset16_transformers/blenderbotsmall_Opset16.onnx b/Natural_Language_Processing/blenderbotsmall_Opset16_transformers/blenderbotsmall_Opset16.onnx
new file mode 100644
index 000000000..4874b47e1
--- /dev/null
+++ b/Natural_Language_Processing/blenderbotsmall_Opset16_transformers/blenderbotsmall_Opset16.onnx
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+version https://git-lfs.github.com/spec/v1
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+size 348840741
diff --git a/Natural_Language_Processing/blenderbotsmall_Opset16_transformers/turnkey_stats.yaml b/Natural_Language_Processing/blenderbotsmall_Opset16_transformers/turnkey_stats.yaml
new file mode 100644
index 000000000..1e7c7418f
--- /dev/null
+++ b/Natural_Language_Processing/blenderbotsmall_Opset16_transformers/turnkey_stats.yaml
@@ -0,0 +1,217 @@
+author: transformers
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diff --git a/Natural_Language_Processing/blenderbotsmall_Opset17_transformers/blenderbotsmall_Opset17.onnx b/Natural_Language_Processing/blenderbotsmall_Opset17_transformers/blenderbotsmall_Opset17.onnx
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diff --git a/Natural_Language_Processing/blenderbotsmall_Opset17_transformers/turnkey_stats.yaml b/Natural_Language_Processing/blenderbotsmall_Opset17_transformers/turnkey_stats.yaml
new file mode 100644
index 000000000..5b4a75d28
--- /dev/null
+++ b/Natural_Language_Processing/blenderbotsmall_Opset17_transformers/turnkey_stats.yaml
@@ -0,0 +1,215 @@
+author: transformers
+builds:
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+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/transformers/blenderbotsmall.py
+class: BlenderbotSmallModel
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index 000000000..ae652db8f
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index 000000000..83475bbb7
--- /dev/null
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new file mode 100644
index 000000000..3e3a07348
--- /dev/null
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new file mode 100644
index 000000000..324b556b4
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new file mode 100644
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--- /dev/null
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new file mode 100644
index 000000000..56886bc04
--- /dev/null
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--- /dev/null
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index 000000000..5406dd109
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index 000000000..1c3826250
--- /dev/null
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new file mode 100644
index 000000000..e59ed5358
--- /dev/null
+++ b/Natural_Language_Processing/canine_Opset17_transformers/canine_Opset17.onnx
@@ -0,0 +1,3 @@
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diff --git a/Natural_Language_Processing/canine_Opset17_transformers/turnkey_stats.yaml b/Natural_Language_Processing/canine_Opset17_transformers/turnkey_stats.yaml
new file mode 100644
index 000000000..320f0a105
--- /dev/null
+++ b/Natural_Language_Processing/canine_Opset17_transformers/turnkey_stats.yaml
@@ -0,0 +1,219 @@
+author: transformers
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index 000000000..d2a4372a3
--- /dev/null
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new file mode 100644
index 000000000..00f8fe5fd
--- /dev/null
+++ b/Natural_Language_Processing/canine_Opset18_transformers/turnkey_stats.yaml
@@ -0,0 +1,219 @@
+author: transformers
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new file mode 100644
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--- /dev/null
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index 000000000..93002641a
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index 000000000..82722debb
--- /dev/null
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new file mode 100644
index 000000000..47ab4dc41
--- /dev/null
+++ b/Natural_Language_Processing/deberta_Opset16_transformers/deberta_Opset16.onnx
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diff --git a/Natural_Language_Processing/deberta_Opset16_transformers/turnkey_stats.yaml b/Natural_Language_Processing/deberta_Opset16_transformers/turnkey_stats.yaml
new file mode 100644
index 000000000..e064fef20
--- /dev/null
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+author: transformers
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+  OEM System: Virtual Machine
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index 000000000..f7894fe12
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diff --git a/Natural_Language_Processing/deberta_Opset17_transformers/turnkey_stats.yaml b/Natural_Language_Processing/deberta_Opset17_transformers/turnkey_stats.yaml
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index 000000000..acc9c6fa4
--- /dev/null
+++ b/Natural_Language_Processing/deberta_Opset17_transformers/turnkey_stats.yaml
@@ -0,0 +1,222 @@
+author: transformers
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new file mode 100644
index 000000000..5e6c9fd92
--- /dev/null
+++ b/Natural_Language_Processing/distilbert_Opset16_transformers/distilbert_Opset16.onnx
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diff --git a/Natural_Language_Processing/distilbert_Opset16_transformers/turnkey_stats.yaml b/Natural_Language_Processing/distilbert_Opset16_transformers/turnkey_stats.yaml
new file mode 100644
index 000000000..30c47fef0
--- /dev/null
+++ b/Natural_Language_Processing/distilbert_Opset16_transformers/turnkey_stats.yaml
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+author: transformers
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diff --git a/Natural_Language_Processing/distilbert_Opset17_transformers/turnkey_stats.yaml b/Natural_Language_Processing/distilbert_Opset17_transformers/turnkey_stats.yaml
new file mode 100644
index 000000000..639467b5f
--- /dev/null
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@@ -0,0 +1,210 @@
+author: transformers
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index 000000000..26addb239
--- /dev/null
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new file mode 100644
index 000000000..be11e60a2
--- /dev/null
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diff --git a/Natural_Language_Processing/encoderdecoder_Opset18_transformers/turnkey_stats.yaml b/Natural_Language_Processing/encoderdecoder_Opset18_transformers/turnkey_stats.yaml
new file mode 100644
index 000000000..7780ad90f
--- /dev/null
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new file mode 100644
index 000000000..ed53bf42e
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new file mode 100644
index 000000000..9a760d083
--- /dev/null
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new file mode 100644
index 000000000..759a5574b
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index 000000000..5d6ee8b2f
--- /dev/null
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new file mode 100644
index 000000000..fc772d4bd
--- /dev/null
+++ b/Natural_Language_Processing/erniem_Opset17_transformers/erniem_Opset17.onnx
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diff --git a/Natural_Language_Processing/erniem_Opset17_transformers/turnkey_stats.yaml b/Natural_Language_Processing/erniem_Opset17_transformers/turnkey_stats.yaml
new file mode 100644
index 000000000..bc9c6ab3b
--- /dev/null
+++ b/Natural_Language_Processing/erniem_Opset17_transformers/turnkey_stats.yaml
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+author: transformers
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index 000000000..c588a54dd
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new file mode 100644
index 000000000..4230e3c78
--- /dev/null
+++ b/Natural_Language_Processing/erniem_Opset18_transformers/turnkey_stats.yaml
@@ -0,0 +1,211 @@
+author: transformers
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new file mode 100644
index 000000000..3918404cd
--- /dev/null
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new file mode 100644
index 000000000..d4513e7f2
--- /dev/null
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--- /dev/null
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index 000000000..cec6e72ef
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index 000000000..79124e01b
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diff --git a/Natural_Language_Processing/falcon_Opset16_transformers/falcon_Opset16.tar.gz b/Natural_Language_Processing/falcon_Opset16_transformers/falcon_Opset16.tar.gz
new file mode 100644
index 000000000..9c063c342
--- /dev/null
+++ b/Natural_Language_Processing/falcon_Opset16_transformers/falcon_Opset16.tar.gz
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diff --git a/Natural_Language_Processing/falcon_Opset16_transformers/turnkey_stats.yaml b/Natural_Language_Processing/falcon_Opset16_transformers/turnkey_stats.yaml
new file mode 100644
index 000000000..d0979efc2
--- /dev/null
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+author: transformers
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+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
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new file mode 100644
index 000000000..45430546f
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diff --git a/Natural_Language_Processing/falcon_Opset17_transformers/turnkey_stats.yaml b/Natural_Language_Processing/falcon_Opset17_transformers/turnkey_stats.yaml
new file mode 100644
index 000000000..a4f7f33d2
--- /dev/null
+++ b/Natural_Language_Processing/falcon_Opset17_transformers/turnkey_stats.yaml
@@ -0,0 +1,216 @@
+author: transformers
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index 000000000..2d09df0cc
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new file mode 100644
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--- /dev/null
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diff --git a/Natural_Language_Processing/flaubert_Opset18_transformers/turnkey_stats.yaml b/Natural_Language_Processing/flaubert_Opset18_transformers/turnkey_stats.yaml
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index 000000000..d5092b991
--- /dev/null
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diff --git a/Natural_Language_Processing/flaubertwithlmhead_Opset16_transformers/flaubertwithlmhead_Opset16.onnx b/Natural_Language_Processing/flaubertwithlmhead_Opset16_transformers/flaubertwithlmhead_Opset16.onnx
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diff --git a/Natural_Language_Processing/flaubertwithlmhead_Opset16_transformers/turnkey_stats.yaml b/Natural_Language_Processing/flaubertwithlmhead_Opset16_transformers/turnkey_stats.yaml
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index 000000000..7d337c770
--- /dev/null
+++ b/Natural_Language_Processing/flaubertwithlmhead_Opset16_transformers/turnkey_stats.yaml
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+author: transformers
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diff --git a/Natural_Language_Processing/flaubertwithlmhead_Opset17_transformers/flaubertwithlmhead_Opset17.onnx b/Natural_Language_Processing/flaubertwithlmhead_Opset17_transformers/flaubertwithlmhead_Opset17.onnx
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+++ b/Natural_Language_Processing/flaubertwithlmhead_Opset17_transformers/turnkey_stats.yaml
@@ -0,0 +1,212 @@
+author: transformers
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+hash: 336f6f5a
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+  Softmax: 12
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+  Where: 13
+parameters: 191085689
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+  OEM System: Virtual Machine
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diff --git a/Natural_Language_Processing/flaubertwithlmhead_Opset18_transformers/flaubertwithlmhead_Opset18.onnx b/Natural_Language_Processing/flaubertwithlmhead_Opset18_transformers/flaubertwithlmhead_Opset18.onnx
new file mode 100644
index 000000000..003452d94
--- /dev/null
+++ b/Natural_Language_Processing/flaubertwithlmhead_Opset18_transformers/flaubertwithlmhead_Opset18.onnx
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diff --git a/Natural_Language_Processing/flaubertwithlmhead_Opset18_transformers/turnkey_stats.yaml b/Natural_Language_Processing/flaubertwithlmhead_Opset18_transformers/turnkey_stats.yaml
new file mode 100644
index 000000000..be1107e59
--- /dev/null
+++ b/Natural_Language_Processing/flaubertwithlmhead_Opset18_transformers/turnkey_stats.yaml
@@ -0,0 +1,212 @@
+author: transformers
+builds:
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+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/transformers/flaubertwithlmhead.py
+class: FlaubertWithLMHeadModel
+hash: 336f6f5a
+model_name: flaubertwithlmhead
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+  OEM System: Virtual Machine
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diff --git a/Natural_Language_Processing/funnel_Opset16_transformers/funnel_Opset16.onnx b/Natural_Language_Processing/funnel_Opset16_transformers/funnel_Opset16.onnx
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index 000000000..02c3092c0
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diff --git a/Natural_Language_Processing/funnel_Opset16_transformers/turnkey_stats.yaml b/Natural_Language_Processing/funnel_Opset16_transformers/turnkey_stats.yaml
new file mode 100644
index 000000000..84d7b012c
--- /dev/null
+++ b/Natural_Language_Processing/funnel_Opset16_transformers/turnkey_stats.yaml
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+author: transformers
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new file mode 100644
index 000000000..f227a90d3
--- /dev/null
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new file mode 100644
index 000000000..ec0b6495d
--- /dev/null
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index 000000000..6cfe125da
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index 000000000..a0a909dcf
--- /dev/null
+++ b/Natural_Language_Processing/funnel_Opset18_transformers/turnkey_stats.yaml
@@ -0,0 +1,227 @@
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index 000000000..22abeffc8
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diff --git a/Natural_Language_Processing/funnelbase_Opset16_transformers/turnkey_stats.yaml b/Natural_Language_Processing/funnelbase_Opset16_transformers/turnkey_stats.yaml
new file mode 100644
index 000000000..3d2cfc493
--- /dev/null
+++ b/Natural_Language_Processing/funnelbase_Opset16_transformers/turnkey_stats.yaml
@@ -0,0 +1,228 @@
+author: transformers
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diff --git a/Natural_Language_Processing/funnelbase_Opset17_transformers/funnelbase_Opset17.onnx b/Natural_Language_Processing/funnelbase_Opset17_transformers/funnelbase_Opset17.onnx
new file mode 100644
index 000000000..9c04fc946
--- /dev/null
+++ b/Natural_Language_Processing/funnelbase_Opset17_transformers/funnelbase_Opset17.onnx
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
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+size 463645395
diff --git a/Natural_Language_Processing/funnelbase_Opset17_transformers/turnkey_stats.yaml b/Natural_Language_Processing/funnelbase_Opset17_transformers/turnkey_stats.yaml
new file mode 100644
index 000000000..7aa6075b2
--- /dev/null
+++ b/Natural_Language_Processing/funnelbase_Opset17_transformers/turnkey_stats.yaml
@@ -0,0 +1,226 @@
+author: transformers
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+class: FunnelBaseModel
+hash: e4915ed7
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+  Where: 53
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+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
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+  - yarl==1.9.2
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+task: Generative_AI
diff --git a/Natural_Language_Processing/funnelbase_Opset18_transformers/funnelbase_Opset18.onnx b/Natural_Language_Processing/funnelbase_Opset18_transformers/funnelbase_Opset18.onnx
new file mode 100644
index 000000000..50837cf14
--- /dev/null
+++ b/Natural_Language_Processing/funnelbase_Opset18_transformers/funnelbase_Opset18.onnx
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+version https://git-lfs.github.com/spec/v1
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diff --git a/Natural_Language_Processing/funnelbase_Opset18_transformers/turnkey_stats.yaml b/Natural_Language_Processing/funnelbase_Opset18_transformers/turnkey_stats.yaml
new file mode 100644
index 000000000..2842cdf51
--- /dev/null
+++ b/Natural_Language_Processing/funnelbase_Opset18_transformers/turnkey_stats.yaml
@@ -0,0 +1,226 @@
+author: transformers
+builds:
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+    - set_success
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+    onnx_file: /home/azureuser/.cache/turnkey/funnelbase_transformers_ac9c894f/onnx/funnelbase_transformers_ac9c894f-op18-base.onnx
+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/transformers/funnelbase.py
+class: FunnelBaseModel
+hash: e4915ed7
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+  Where: 53
+parameters: 115611648
+system_info:
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+  OEM System: Virtual Machine
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--- /dev/null
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--- /dev/null
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new file mode 100644
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new file mode 100644
index 000000000..00cb308d1
--- /dev/null
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diff --git a/Natural_Language_Processing/led_Opset17_transformers/led_Opset17.onnx b/Natural_Language_Processing/led_Opset17_transformers/led_Opset17.onnx
new file mode 100644
index 000000000..a66eae926
--- /dev/null
+++ b/Natural_Language_Processing/led_Opset17_transformers/led_Opset17.onnx
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
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+size 618616360
diff --git a/Natural_Language_Processing/led_Opset17_transformers/turnkey_stats.yaml b/Natural_Language_Processing/led_Opset17_transformers/turnkey_stats.yaml
new file mode 100644
index 000000000..953cf6dfe
--- /dev/null
+++ b/Natural_Language_Processing/led_Opset17_transformers/turnkey_stats.yaml
@@ -0,0 +1,226 @@
+author: transformers
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+    device_type: x86
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+    onnx_file: /home/azureuser/.cache/turnkey/led_transformers_10d1d695/onnx/led_transformers_10d1d695-op17-base.onnx
+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/transformers/led.py
+class: LEDModel
+hash: 797ae7d3
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+  - 1
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+  Sub: 53
+  Transpose: 284
+  Trilu: 12
+  Unsqueeze: 1455
+  Where: 358
+parameters: 161844480
+system_info:
+  Memory Info: 62.79 GB
+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
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new file mode 100644
index 000000000..891446799
--- /dev/null
+++ b/Natural_Language_Processing/led_Opset18_transformers/led_Opset18.onnx
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+version https://git-lfs.github.com/spec/v1
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diff --git a/Natural_Language_Processing/led_Opset18_transformers/turnkey_stats.yaml b/Natural_Language_Processing/led_Opset18_transformers/turnkey_stats.yaml
new file mode 100644
index 000000000..1b5252f1d
--- /dev/null
+++ b/Natural_Language_Processing/led_Opset18_transformers/turnkey_stats.yaml
@@ -0,0 +1,226 @@
+author: transformers
+builds:
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+    - set_success
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+      set_success: 0.027916908264160156
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+    onnx_file: /home/azureuser/.cache/turnkey/led_transformers_10d1d695/onnx/led_transformers_10d1d695-op18-base.onnx
+    runtime: ort
+builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/transformers/led.py
+class: LEDModel
+hash: 797ae7d3
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+  Sub: 53
+  Transpose: 284
+  Trilu: 12
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+  Where: 358
+parameters: 161844480
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+  OEM System: Virtual Machine
+  OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
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new file mode 100644
index 000000000..001490bb5
--- /dev/null
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diff --git a/Natural_Language_Processing/longformer_Opset16_transformers/turnkey_stats.yaml b/Natural_Language_Processing/longformer_Opset16_transformers/turnkey_stats.yaml
new file mode 100644
index 000000000..0d1986a96
--- /dev/null
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new file mode 100644
index 000000000..8bb5f44f9
--- /dev/null
+++ b/Natural_Language_Processing/longformer_Opset17_transformers/turnkey_stats.yaml
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diff --git a/Natural_Language_Processing/longformer_Opset18_transformers/longformer_Opset18.onnx b/Natural_Language_Processing/longformer_Opset18_transformers/longformer_Opset18.onnx
new file mode 100644
index 000000000..537f61be5
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diff --git a/Natural_Language_Processing/longformer_Opset18_transformers/turnkey_stats.yaml b/Natural_Language_Processing/longformer_Opset18_transformers/turnkey_stats.yaml
new file mode 100644
index 000000000..043a0557b
--- /dev/null
+++ b/Natural_Language_Processing/longformer_Opset18_transformers/turnkey_stats.yaml
@@ -0,0 +1,229 @@
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new file mode 100644
index 000000000..621bfe09f
--- /dev/null
+++ b/Natural_Language_Processing/longt5_Opset16_transformers/longt5_Opset16.onnx
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diff --git a/Natural_Language_Processing/longt5_Opset16_transformers/turnkey_stats.yaml b/Natural_Language_Processing/longt5_Opset16_transformers/turnkey_stats.yaml
new file mode 100644
index 000000000..3d9a4d2e1
--- /dev/null
+++ b/Natural_Language_Processing/longt5_Opset16_transformers/turnkey_stats.yaml
@@ -0,0 +1,229 @@
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index 000000000..02f000c01
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new file mode 100644
index 000000000..24cab72d2
--- /dev/null
+++ b/Natural_Language_Processing/longt5_Opset17_transformers/turnkey_stats.yaml
@@ -0,0 +1,229 @@
+author: transformers
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--- /dev/null
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--- /dev/null
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--- /dev/null
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index 000000000..18adf5a42
--- /dev/null
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new file mode 100644
index 000000000..27c7c177f
--- /dev/null
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diff --git a/Natural_Language_Processing/luke_Opset17_transformers/turnkey_stats.yaml b/Natural_Language_Processing/luke_Opset17_transformers/turnkey_stats.yaml
new file mode 100644
index 000000000..e7667115b
--- /dev/null
+++ b/Natural_Language_Processing/luke_Opset17_transformers/turnkey_stats.yaml
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index 000000000..e8c5f24ad
--- /dev/null
+++ b/Natural_Language_Processing/luke_Opset18_transformers/turnkey_stats.yaml
@@ -0,0 +1,214 @@
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--- /dev/null
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diff --git a/Natural_Language_Processing/m2m100_Opset16_transformers/turnkey_stats.yaml b/Natural_Language_Processing/m2m100_Opset16_transformers/turnkey_stats.yaml
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index 000000000..7878e886b
--- /dev/null
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index 000000000..e7c9ae974
--- /dev/null
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new file mode 100644
index 000000000..596d2e68a
--- /dev/null
+++ b/Natural_Language_Processing/m2m100_Opset18_transformers/turnkey_stats.yaml
@@ -0,0 +1,217 @@
+author: transformers
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new file mode 100644
index 000000000..b04bffa7a
--- /dev/null
+++ b/Natural_Language_Processing/marian_Opset16_transformers/marian_Opset16.onnx
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diff --git a/Natural_Language_Processing/marian_Opset16_transformers/turnkey_stats.yaml b/Natural_Language_Processing/marian_Opset16_transformers/turnkey_stats.yaml
new file mode 100644
index 000000000..c89c0ccbe
--- /dev/null
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new file mode 100644
index 000000000..608871138
--- /dev/null
+++ b/Natural_Language_Processing/marian_Opset17_transformers/turnkey_stats.yaml
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+author: transformers
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new file mode 100644
index 000000000..80dbdc190
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index 000000000..f7562ab0f
--- /dev/null
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index 000000000..2a3feced7
--- /dev/null
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@@ -0,0 +1,215 @@
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diff --git a/Natural_Language_Processing/markuplm_Opset18_transformers/markuplm_Opset18.onnx b/Natural_Language_Processing/markuplm_Opset18_transformers/markuplm_Opset18.onnx
new file mode 100644
index 000000000..6f6d1bc3b
--- /dev/null
+++ b/Natural_Language_Processing/markuplm_Opset18_transformers/markuplm_Opset18.onnx
@@ -0,0 +1,3 @@
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diff --git a/Natural_Language_Processing/markuplm_Opset18_transformers/turnkey_stats.yaml b/Natural_Language_Processing/markuplm_Opset18_transformers/turnkey_stats.yaml
new file mode 100644
index 000000000..ca2387959
--- /dev/null
+++ b/Natural_Language_Processing/markuplm_Opset18_transformers/turnkey_stats.yaml
@@ -0,0 +1,215 @@
+author: transformers
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+class: MarkupLMModel
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diff --git a/Natural_Language_Processing/mobilebert_Opset16_transformers/mobilebert_Opset16.onnx b/Natural_Language_Processing/mobilebert_Opset16_transformers/mobilebert_Opset16.onnx
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index 000000000..2417681f9
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+version https://git-lfs.github.com/spec/v1
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new file mode 100644
index 000000000..efc01aa06
--- /dev/null
+++ b/Natural_Language_Processing/mobilebert_Opset16_transformers/turnkey_stats.yaml
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+author: transformers
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+  OEM System: Virtual Machine
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new file mode 100644
index 000000000..092b5b934
--- /dev/null
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new file mode 100644
index 000000000..974e05411
--- /dev/null
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index 000000000..20a02fdca
--- /dev/null
+++ b/Natural_Language_Processing/mobilebert_Opset18_transformers/turnkey_stats.yaml
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index 000000000..c07f2f753
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index 000000000..1481e20d2
--- /dev/null
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new file mode 100644
index 000000000..abb63c250
--- /dev/null
+++ b/Natural_Language_Processing/mpnet_Opset17_transformers/mpnet_Opset17.onnx
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diff --git a/Natural_Language_Processing/mpnet_Opset17_transformers/turnkey_stats.yaml b/Natural_Language_Processing/mpnet_Opset17_transformers/turnkey_stats.yaml
new file mode 100644
index 000000000..b460806c4
--- /dev/null
+++ b/Natural_Language_Processing/mpnet_Opset17_transformers/turnkey_stats.yaml
@@ -0,0 +1,220 @@
+author: transformers
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+  OEM System: Virtual Machine
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index 000000000..c14252011
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diff --git a/Natural_Language_Processing/mpnet_Opset18_transformers/turnkey_stats.yaml b/Natural_Language_Processing/mpnet_Opset18_transformers/turnkey_stats.yaml
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index 000000000..566d36f27
--- /dev/null
+++ b/Natural_Language_Processing/mpnet_Opset18_transformers/turnkey_stats.yaml
@@ -0,0 +1,220 @@
+author: transformers
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diff --git a/Natural_Language_Processing/mra_Opset16_transformers/mra_Opset16.onnx b/Natural_Language_Processing/mra_Opset16_transformers/mra_Opset16.onnx
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new file mode 100644
index 000000000..7ce2e491b
--- /dev/null
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index 000000000..681bace7b
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index 000000000..904758c35
--- /dev/null
+++ b/Natural_Language_Processing/mra_Opset18_transformers/turnkey_stats.yaml
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new file mode 100644
index 000000000..59776b9fd
--- /dev/null
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diff --git a/Natural_Language_Processing/mt5encoder_Opset17_transformers/turnkey_stats.yaml b/Natural_Language_Processing/mt5encoder_Opset17_transformers/turnkey_stats.yaml
new file mode 100644
index 000000000..96f39f6c1
--- /dev/null
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index 000000000..5a6371a7a
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new file mode 100644
index 000000000..c25ef0ded
--- /dev/null
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diff --git a/Natural_Language_Processing/mvp_Opset17_transformers/turnkey_stats.yaml b/Natural_Language_Processing/mvp_Opset17_transformers/turnkey_stats.yaml
new file mode 100644
index 000000000..537abb53b
--- /dev/null
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index 000000000..e5fab816e
--- /dev/null
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index 000000000..393992f7a
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index 000000000..083c3d03d
--- /dev/null
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@@ -0,0 +1,216 @@
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new file mode 100644
index 000000000..ec045349c
--- /dev/null
+++ b/Natural_Language_Processing/nezha_Opset17_transformers/nezha_Opset17.onnx
@@ -0,0 +1,3 @@
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diff --git a/Natural_Language_Processing/nezha_Opset17_transformers/turnkey_stats.yaml b/Natural_Language_Processing/nezha_Opset17_transformers/turnkey_stats.yaml
new file mode 100644
index 000000000..e8abcdf85
--- /dev/null
+++ b/Natural_Language_Processing/nezha_Opset17_transformers/turnkey_stats.yaml
@@ -0,0 +1,214 @@
+author: transformers
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index 000000000..5366b3071
--- /dev/null
+++ b/Natural_Language_Processing/nezha_Opset18_transformers/turnkey_stats.yaml
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new file mode 100644
index 000000000..98e37b927
--- /dev/null
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new file mode 100644
index 000000000..44d920fb4
--- /dev/null
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index 000000000..279e0f7c0
--- /dev/null
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index 000000000..270a0538d
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index 000000000..49dcdc09a
--- /dev/null
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new file mode 100644
index 000000000..b648c4d54
--- /dev/null
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diff --git a/Natural_Language_Processing/opt_Opset16_transformers/turnkey_stats.yaml b/Natural_Language_Processing/opt_Opset16_transformers/turnkey_stats.yaml
new file mode 100644
index 000000000..f33a236ef
--- /dev/null
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index 000000000..ff87d9403
--- /dev/null
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diff --git a/Natural_Language_Processing/opt_Opset18_transformers/opt_Opset18.onnx b/Natural_Language_Processing/opt_Opset18_transformers/opt_Opset18.onnx
new file mode 100644
index 000000000..688cabb67
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index 000000000..0e022c084
--- /dev/null
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index 000000000..a194cb2fc
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index 000000000..4fca902b3
--- /dev/null
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new file mode 100644
index 000000000..d7d09759d
--- /dev/null
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diff --git a/Natural_Language_Processing/prophetnet_Opset18_transformers/turnkey_stats.yaml b/Natural_Language_Processing/prophetnet_Opset18_transformers/turnkey_stats.yaml
new file mode 100644
index 000000000..204e1f446
--- /dev/null
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new file mode 100644
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index 000000000..6b7775a16
--- /dev/null
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diff --git a/Natural_Language_Processing/roberta_Opset17_transformers/roberta_Opset17.onnx b/Natural_Language_Processing/roberta_Opset17_transformers/roberta_Opset17.onnx
new file mode 100644
index 000000000..deca6430c
--- /dev/null
+++ b/Natural_Language_Processing/roberta_Opset17_transformers/roberta_Opset17.onnx
@@ -0,0 +1,3 @@
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diff --git a/Natural_Language_Processing/roberta_Opset17_transformers/turnkey_stats.yaml b/Natural_Language_Processing/roberta_Opset17_transformers/turnkey_stats.yaml
new file mode 100644
index 000000000..756d10f3e
--- /dev/null
+++ b/Natural_Language_Processing/roberta_Opset17_transformers/turnkey_stats.yaml
@@ -0,0 +1,216 @@
+author: transformers
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+  OEM System: Virtual Machine
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new file mode 100644
index 000000000..9160c7906
--- /dev/null
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diff --git a/Natural_Language_Processing/roberta_Opset18_transformers/turnkey_stats.yaml b/Natural_Language_Processing/roberta_Opset18_transformers/turnkey_stats.yaml
new file mode 100644
index 000000000..c1bbf0bb2
--- /dev/null
+++ b/Natural_Language_Processing/roberta_Opset18_transformers/turnkey_stats.yaml
@@ -0,0 +1,216 @@
+author: transformers
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+  OEM System: Virtual Machine
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--- /dev/null
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new file mode 100644
index 000000000..a89b0a2a5
--- /dev/null
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new file mode 100644
index 000000000..78530495c
--- /dev/null
+++ b/Natural_Language_Processing/rocbert_Opset16_transformers/rocbert_Opset16.onnx
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diff --git a/Natural_Language_Processing/rocbert_Opset16_transformers/turnkey_stats.yaml b/Natural_Language_Processing/rocbert_Opset16_transformers/turnkey_stats.yaml
new file mode 100644
index 000000000..10ef808a5
--- /dev/null
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index 000000000..07ddd344a
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diff --git a/Natural_Language_Processing/rocbert_Opset17_transformers/turnkey_stats.yaml b/Natural_Language_Processing/rocbert_Opset17_transformers/turnkey_stats.yaml
new file mode 100644
index 000000000..b5282472d
--- /dev/null
+++ b/Natural_Language_Processing/rocbert_Opset17_transformers/turnkey_stats.yaml
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index 000000000..74cbbf364
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diff --git a/Natural_Language_Processing/roformer_Opset18_transformers/roformer_Opset18.onnx b/Natural_Language_Processing/roformer_Opset18_transformers/roformer_Opset18.onnx
new file mode 100644
index 000000000..a6473ae07
--- /dev/null
+++ b/Natural_Language_Processing/roformer_Opset18_transformers/roformer_Opset18.onnx
@@ -0,0 +1,3 @@
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diff --git a/Natural_Language_Processing/roformer_Opset18_transformers/turnkey_stats.yaml b/Natural_Language_Processing/roformer_Opset18_transformers/turnkey_stats.yaml
new file mode 100644
index 000000000..431a03ac5
--- /dev/null
+++ b/Natural_Language_Processing/roformer_Opset18_transformers/turnkey_stats.yaml
@@ -0,0 +1,212 @@
+author: transformers
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index 000000000..356b05cf0
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diff --git a/Natural_Language_Processing/splinter_Opset16_transformers/turnkey_stats.yaml b/Natural_Language_Processing/splinter_Opset16_transformers/turnkey_stats.yaml
new file mode 100644
index 000000000..53dcefe9e
--- /dev/null
+++ b/Natural_Language_Processing/splinter_Opset16_transformers/turnkey_stats.yaml
@@ -0,0 +1,210 @@
+author: transformers
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new file mode 100644
index 000000000..7a5112f97
--- /dev/null
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new file mode 100644
index 000000000..2d0376f8b
--- /dev/null
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index 000000000..559a157ae
--- /dev/null
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index 000000000..b5b755ace
--- /dev/null
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@@ -0,0 +1,214 @@
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new file mode 100644
index 000000000..e7a38e6cf
--- /dev/null
+++ b/Natural_Language_Processing/squeezebert_Opset17_transformers/squeezebert_Opset17.onnx
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+size 204465324
diff --git a/Natural_Language_Processing/squeezebert_Opset17_transformers/turnkey_stats.yaml b/Natural_Language_Processing/squeezebert_Opset17_transformers/turnkey_stats.yaml
new file mode 100644
index 000000000..5a9bd68d2
--- /dev/null
+++ b/Natural_Language_Processing/squeezebert_Opset17_transformers/turnkey_stats.yaml
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+class: SqueezeBertModel
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diff --git a/Natural_Language_Processing/squeezebert_Opset18_transformers/squeezebert_Opset18.onnx b/Natural_Language_Processing/squeezebert_Opset18_transformers/squeezebert_Opset18.onnx
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+version https://git-lfs.github.com/spec/v1
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diff --git a/Natural_Language_Processing/squeezebert_Opset18_transformers/turnkey_stats.yaml b/Natural_Language_Processing/squeezebert_Opset18_transformers/turnkey_stats.yaml
new file mode 100644
index 000000000..589e99220
--- /dev/null
+++ b/Natural_Language_Processing/squeezebert_Opset18_transformers/turnkey_stats.yaml
@@ -0,0 +1,212 @@
+author: transformers
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diff --git a/Natural_Language_Processing/switchtransformers_Opset16_transformers/switchtransformers_Opset16.tar.gz b/Natural_Language_Processing/switchtransformers_Opset16_transformers/switchtransformers_Opset16.tar.gz
new file mode 100644
index 000000000..feceee1fe
--- /dev/null
+++ b/Natural_Language_Processing/switchtransformers_Opset16_transformers/switchtransformers_Opset16.tar.gz
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diff --git a/Natural_Language_Processing/switchtransformers_Opset16_transformers/turnkey_stats.yaml b/Natural_Language_Processing/switchtransformers_Opset16_transformers/turnkey_stats.yaml
new file mode 100644
index 000000000..bd0d65e6b
--- /dev/null
+++ b/Natural_Language_Processing/switchtransformers_Opset16_transformers/turnkey_stats.yaml
@@ -0,0 +1,232 @@
+author: transformers
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new file mode 100644
index 000000000..7c13ada08
--- /dev/null
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diff --git a/Natural_Language_Processing/switchtransformers_Opset17_transformers/turnkey_stats.yaml b/Natural_Language_Processing/switchtransformers_Opset17_transformers/turnkey_stats.yaml
new file mode 100644
index 000000000..58a938061
--- /dev/null
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--- /dev/null
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new file mode 100644
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--- /dev/null
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diff --git a/Natural_Language_Processing/switchtransformersencoder_Opset17_transformers/turnkey_stats.yaml b/Natural_Language_Processing/switchtransformersencoder_Opset17_transformers/turnkey_stats.yaml
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index 000000000..fa3880c4a
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index 000000000..7df71b6f5
--- /dev/null
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index 000000000..bb2559468
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diff --git a/Natural_Language_Processing/t5_Opset17_transformers/turnkey_stats.yaml b/Natural_Language_Processing/t5_Opset17_transformers/turnkey_stats.yaml
new file mode 100644
index 000000000..19dbc2ff7
--- /dev/null
+++ b/Natural_Language_Processing/t5_Opset17_transformers/turnkey_stats.yaml
@@ -0,0 +1,220 @@
+author: transformers
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new file mode 100644
index 000000000..4330e5e63
--- /dev/null
+++ b/Natural_Language_Processing/t5encoder_Opset16_transformers/t5encoder_Opset16.onnx
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diff --git a/Natural_Language_Processing/t5encoder_Opset16_transformers/turnkey_stats.yaml b/Natural_Language_Processing/t5encoder_Opset16_transformers/turnkey_stats.yaml
new file mode 100644
index 000000000..fcda1b484
--- /dev/null
+++ b/Natural_Language_Processing/t5encoder_Opset16_transformers/turnkey_stats.yaml
@@ -0,0 +1,215 @@
+author: transformers
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index 000000000..8db97a8a8
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index 000000000..54b5c003c
--- /dev/null
+++ b/Natural_Language_Processing/t5encoder_Opset17_transformers/turnkey_stats.yaml
@@ -0,0 +1,215 @@
+author: transformers
+builds:
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+  Where: 1
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+  OEM System: Virtual Machine
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--- /dev/null
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index 000000000..0b51a1320
--- /dev/null
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index 000000000..c7baaa495
--- /dev/null
+++ b/Natural_Language_Processing/transfoxl_Opset18_transformers/turnkey_stats.yaml
@@ -0,0 +1,223 @@
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diff --git a/Natural_Language_Processing/transfoxllmhead_Opset16_transformers/transfoxllmhead_Opset16.onnx b/Natural_Language_Processing/transfoxllmhead_Opset16_transformers/transfoxllmhead_Opset16.onnx
new file mode 100644
index 000000000..3d90dbd29
--- /dev/null
+++ b/Natural_Language_Processing/transfoxllmhead_Opset16_transformers/transfoxllmhead_Opset16.onnx
@@ -0,0 +1,3 @@
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+size 1460016692
diff --git a/Natural_Language_Processing/transfoxllmhead_Opset16_transformers/turnkey_stats.yaml b/Natural_Language_Processing/transfoxllmhead_Opset16_transformers/turnkey_stats.yaml
new file mode 100644
index 000000000..c7b35981d
--- /dev/null
+++ b/Natural_Language_Processing/transfoxllmhead_Opset16_transformers/turnkey_stats.yaml
@@ -0,0 +1,230 @@
+author: transformers
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diff --git a/Natural_Language_Processing/transfoxllmhead_Opset17_transformers/turnkey_stats.yaml b/Natural_Language_Processing/transfoxllmhead_Opset17_transformers/turnkey_stats.yaml
new file mode 100644
index 000000000..05f7fa8d0
--- /dev/null
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+author: transformers
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index 000000000..c29914f86
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index 000000000..8e484a477
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new file mode 100644
index 000000000..2a4e3ab4a
--- /dev/null
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diff --git a/Natural_Language_Processing/umt5encoder_Opset16_transformers/turnkey_stats.yaml b/Natural_Language_Processing/umt5encoder_Opset16_transformers/turnkey_stats.yaml
new file mode 100644
index 000000000..54abb8976
--- /dev/null
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+author: transformers
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diff --git a/Natural_Language_Processing/umt5encoder_Opset17_transformers/turnkey_stats.yaml b/Natural_Language_Processing/umt5encoder_Opset17_transformers/turnkey_stats.yaml
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index 000000000..8f45a20d6
--- /dev/null
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+author: transformers
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new file mode 100644
index 000000000..088625a60
--- /dev/null
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new file mode 100644
index 000000000..20971bbfc
--- /dev/null
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new file mode 100644
index 000000000..ad4932c42
--- /dev/null
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new file mode 100644
index 000000000..2eb229054
--- /dev/null
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new file mode 100644
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index 000000000..cc29ad918
--- /dev/null
+++ b/Natural_Language_Processing/xlmroberta_Opset16_transformers/turnkey_stats.yaml
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diff --git a/Natural_Language_Processing/xlmroberta_Opset16_transformers/xlmroberta_Opset16.onnx b/Natural_Language_Processing/xlmroberta_Opset16_transformers/xlmroberta_Opset16.onnx
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--- /dev/null
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index 000000000..1f074b89c
--- /dev/null
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diff --git a/Natural_Language_Processing/xlmroberta_Opset17_transformers/xlmroberta_Opset17.onnx b/Natural_Language_Processing/xlmroberta_Opset17_transformers/xlmroberta_Opset17.onnx
new file mode 100644
index 000000000..82fa0d762
--- /dev/null
+++ b/Natural_Language_Processing/xlmroberta_Opset17_transformers/xlmroberta_Opset17.onnx
@@ -0,0 +1,3 @@
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diff --git a/Natural_Language_Processing/xlmroberta_Opset18_transformers/turnkey_stats.yaml b/Natural_Language_Processing/xlmroberta_Opset18_transformers/turnkey_stats.yaml
new file mode 100644
index 000000000..ba429d71f
--- /dev/null
+++ b/Natural_Language_Processing/xlmroberta_Opset18_transformers/turnkey_stats.yaml
@@ -0,0 +1,216 @@
+author: transformers
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+class: XLMRobertaModel
+hash: 78f4bbec
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diff --git a/Natural_Language_Processing/xlmroberta_Opset18_transformers/xlmroberta_Opset18.onnx b/Natural_Language_Processing/xlmroberta_Opset18_transformers/xlmroberta_Opset18.onnx
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diff --git a/Natural_Language_Processing/xlmwithlmhead_Opset16_transformers/turnkey_stats.yaml b/Natural_Language_Processing/xlmwithlmhead_Opset16_transformers/turnkey_stats.yaml
new file mode 100644
index 000000000..405e3b92d
--- /dev/null
+++ b/Natural_Language_Processing/xlmwithlmhead_Opset16_transformers/turnkey_stats.yaml
@@ -0,0 +1,214 @@
+author: transformers
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index 000000000..51817d48f
--- /dev/null
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new file mode 100644
index 000000000..ae7997281
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diff --git a/Natural_Language_Processing/xlnet_Opset17_transformers/turnkey_stats.yaml b/Natural_Language_Processing/xlnet_Opset17_transformers/turnkey_stats.yaml
new file mode 100644
index 000000000..b2af49b48
--- /dev/null
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diff --git a/Natural_Language_Processing/xlnet_Opset18_transformers/turnkey_stats.yaml b/Natural_Language_Processing/xlnet_Opset18_transformers/turnkey_stats.yaml
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index 000000000..0078de627
--- /dev/null
+++ b/Natural_Language_Processing/xlnet_Opset18_transformers/turnkey_stats.yaml
@@ -0,0 +1,222 @@
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diff --git a/Natural_Language_Processing/xlnet_Opset18_transformers/xlnet_Opset18.onnx b/Natural_Language_Processing/xlnet_Opset18_transformers/xlnet_Opset18.onnx
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index 000000000..eb4ceab13
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index 000000000..a201773d5
--- /dev/null
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+author: transformers
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diff --git a/Natural_Language_Processing/xlnetlmhead_Opset18_transformers/turnkey_stats.yaml b/Natural_Language_Processing/xlnetlmhead_Opset18_transformers/turnkey_stats.yaml
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index 000000000..193d72e2a
--- /dev/null
+++ b/Natural_Language_Processing/xlnetlmhead_Opset18_transformers/turnkey_stats.yaml
@@ -0,0 +1,222 @@
+author: transformers
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+class: XLNetLMHeadModel
+hash: '97810303'
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+  OEM System: Virtual Machine
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new file mode 100644
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--- /dev/null
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new file mode 100644
index 000000000..d4cde96f2
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index 000000000..9b0f90bd1
--- /dev/null
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index 000000000..339a4c10c
--- /dev/null
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index 000000000..961fa912b
--- /dev/null
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index 000000000..77d270892
--- /dev/null
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@@ -0,0 +1,219 @@
+author: transformers
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new file mode 100644
index 000000000..8075a3684
--- /dev/null
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diff --git a/Natural_Language_Processing/yoso_Opset18_transformers/turnkey_stats.yaml b/Natural_Language_Processing/yoso_Opset18_transformers/turnkey_stats.yaml
new file mode 100644
index 000000000..862ffb9fa
--- /dev/null
+++ b/Natural_Language_Processing/yoso_Opset18_transformers/turnkey_stats.yaml
@@ -0,0 +1,219 @@
+author: transformers
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+task: Generative_AI
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new file mode 100644
index 000000000..8d03a08dd
--- /dev/null
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index 530b52e8f..65b2c8bed 100644
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+        "model_path": "archive/vision/object_detection_segmentation/yolov3/model/yolov3-12-int8.onnx",
         "onnx_version": "1.9",
         "opset_version": 12,
         "metadata": {
@@ -8576,14 +8576,14 @@
                     }
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-        "model_path": "vision/object_detection_segmentation/yolov3/model/yolov3-12.onnx",
+        "model_path": "archive/vision/object_detection_segmentation/yolov3/model/yolov3-12.onnx",
         "onnx_version": "1.9",
         "opset_version": 12,
         "metadata": {
@@ -8644,14 +8644,14 @@
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+            "model_with_data_path": "archive/vision/object_detection_segmentation/yolov3/model/yolov3-12.tar.gz",
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-        "model_path": "vision/object_detection_segmentation/yolov4/model/yolov4.onnx",
+        "model_path": "archive/vision/object_detection_segmentation/yolov4/model/yolov4.onnx",
         "onnx_version": "1.6",
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@@ -8711,14 +8711,14 @@
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-        "model_path": "vision/style_transfer/fast_neural_style/model/candy-8.onnx",
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@@ -8755,14 +8755,14 @@
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-        "model_path": "vision/style_transfer/fast_neural_style/model/candy-9.onnx",
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@@ -8799,14 +8799,14 @@
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@@ -8843,14 +8843,14 @@
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+            "model_with_data_path": "archive/vision/style_transfer/fast_neural_style/model/mosaic-8.tar.gz",
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@@ -8887,14 +8887,14 @@
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-        "model_path": "vision/style_transfer/fast_neural_style/model/pointilism-8.onnx",
+        "model_path": "archive/vision/style_transfer/fast_neural_style/model/pointilism-8.onnx",
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@@ -8931,14 +8931,14 @@
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-        "model_path": "vision/style_transfer/fast_neural_style/model/pointilism-9.onnx",
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@@ -8975,14 +8975,14 @@
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-        "model_path": "vision/style_transfer/fast_neural_style/model/rain-princess-8.onnx",
+        "model_path": "archive/vision/style_transfer/fast_neural_style/model/rain-princess-8.onnx",
         "onnx_version": "1.4",
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         "metadata": {
@@ -9019,14 +9019,14 @@
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-            "model_with_data_path": "vision/style_transfer/fast_neural_style/model/rain-princess-8.tar.gz",
+            "model_with_data_path": "archive/vision/style_transfer/fast_neural_style/model/rain-princess-8.tar.gz",
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-        "model_path": "vision/style_transfer/fast_neural_style/model/rain-princess-9.onnx",
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         "metadata": {
@@ -9063,14 +9063,14 @@
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-            "model_with_data_path": "vision/style_transfer/fast_neural_style/model/rain-princess-9.tar.gz",
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-        "model_path": "vision/style_transfer/fast_neural_style/model/udnie-8.onnx",
+        "model_path": "archive/vision/style_transfer/fast_neural_style/model/udnie-8.onnx",
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         "metadata": {
@@ -9107,14 +9107,14 @@
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-            "model_with_data_path": "vision/style_transfer/fast_neural_style/model/udnie-8.tar.gz",
+            "model_with_data_path": "archive/vision/style_transfer/fast_neural_style/model/udnie-8.tar.gz",
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         "model": "Udnie",
-        "model_path": "vision/style_transfer/fast_neural_style/model/udnie-9.onnx",
+        "model_path": "archive/vision/style_transfer/fast_neural_style/model/udnie-9.onnx",
         "onnx_version": "1.4",
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@@ -9151,14 +9151,14 @@
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-            "model_with_data_path": "vision/style_transfer/fast_neural_style/model/udnie-9.tar.gz",
+            "model_with_data_path": "archive/vision/style_transfer/fast_neural_style/model/udnie-9.tar.gz",
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     {
         "model": "Super_Resolution",
-        "model_path": "vision/super_resolution/sub_pixel_cnn_2016/model/super-resolution-10.onnx",
+        "model_path": "archive/vision/super_resolution/sub_pixel_cnn_2016/model/super-resolution-10.onnx",
         "onnx_version": "1.5.0",
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         "metadata": {
@@ -9195,7 +9195,7 @@
                     }
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diff --git a/README.md b/README.md
index 592026437..bca682cf9 100644
--- a/README.md
+++ b/README.md
@@ -1,261 +1,70 @@
 <!--- SPDX-License-Identifier: Apache-2.0 -->
 
 
-># Deprecation Notice:
->This repository is undergoing changes and will be transitioning to a new and refreshed ONNX Model Zoo featuring state-of-the-art models and the latest opsets by the end of this year. The current set of models in this repository will be moved to an archive and will eventually be deprecated. If you rely on models from this repository, we recommend transitioning to the new ONNX Model Zoo once it is available. If you have any questions or concerns, please open an issue or contact @ramkrishna2910/ @jcwchen for assistance. Thank you for your understanding. Stay tuned!
-
 # ONNX Model Zoo
 
-[Open Neural Network Exchange (ONNX)](http://onnx.ai) is an open standard format for representing machine learning models. ONNX is supported by a community of partners who have implemented it in many frameworks and tools.
 
-The ONNX Model Zoo is a collection of pre-trained, state-of-the-art models in the ONNX format contributed by community members like you. Accompanying each model are [Jupyter notebooks](http://jupyter.org) for model training and running inference with the trained model. The notebooks are written in Python and include links to the training dataset as well as references to the original paper that describes the model architecture.
+## Introduction
+
+Welcome to the ONNX Model Zoo! The Open Neural Network Exchange (ONNX) is an open standard format created to represent machine learning models. Supported by a robust community of partners, ONNX defines a common set of operators and a common file format to enable AI developers to use models with a variety of frameworks, tools, runtimes, and compilers.
+
+This repository is a curated collection of pre-trained, state-of-the-art models in the ONNX format. These models are sourced from prominent open-source repositories and have been contributed by a diverse group of community members. Our aim is to facilitate the spread and usage of machine learning models among a wider audience of developers, researchers, and enthusiasts.
 
-We have standardized on [Git LFS (Large File Storage)](https://git-lfs.github.com/) to store ONNX model files. To download an ONNX model, navigate to the appropriate Github page and click the `Download` button on the top right.
+To handle ONNX model files, which can be large, we use Git LFS (Large File Storage). To download any model from this collection, please navigate to the specific model's GitHub page and click the "Download" button located in the top right corner, or visit the [ONNX Model Zoo website](insert-link-here).
 
 ## Models
-#### Read the [Usage](#usage-) section below for more details on the file formats in the ONNX Model Zoo (.onnx, .pb, .npz), downloading multiple ONNX models through [Git LFS command line](#gitlfs-), and starter Python code for validating your ONNX model using test data.
-
-#### INT8 models are generated by [Intel® Neural Compressor](https://github.com/intel/neural-compressor). [Intel® Neural Compressor](https://github.com/intel/neural-compressor) is an open-source Python library which supports automatic accuracy-driven tuning strategies to help user quickly find out the best quantized model. It implements dynamic and static quantization for ONNX models and can represent quantized ONNX models with operator oriented as well as tensor oriented (QDQ) ways. Users can use web-based UI service or python code to do quantization. Read the [Introduction](https://github.com/intel/neural-compressor/blob/master/README.md) for more details.
-
-#### Vision
-* [Image Classification](#image_classification)
-* [Object Detection & Image Segmentation](#object_detection)
-* [Body, Face & Gesture Analysis](#body_analysis)
-* [Image Manipulation](#image_manipulation)
-
-#### Language
-* [Machine Comprehension](#machine_comprehension)
-* [Machine Translation](#machine_translation)
-* [Language Modelling](#language_modelling)
-
-#### Other
-* [Visual Question Answering & Dialog](#visual_qna)
-* [Speech & Audio Processing](#speech)
-* [Other interesting models](#others)
-
-### Image Classification <a name="image_classification"/>
-This collection of models take images as input, then classifies the major objects in the images into 1000 object categories such as keyboard, mouse, pencil, and many animals.
-
-|Model Class |Reference |Description |Huggingface Spaces|
-|-|-|-|-|
-|<b>[MobileNet](vision/classification/mobilenet)</b>|[Sandler et al.](https://arxiv.org/abs/1801.04381)|Light-weight deep neural network best suited for mobile and embedded vision applications. <br>Top-5 error from paper - ~10%|
-|<b>[ResNet](vision/classification/resnet)</b>|[He et al.](https://arxiv.org/abs/1512.03385)|A CNN model (up to 152 layers). Uses shortcut connections to achieve higher accuracy when classifying images. <br> Top-5 error from paper - ~3.6%| [![Hugging Face Spaces](https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Spaces-blue)](https://huggingface.co/spaces/onnx/ResNet) |
-|<b>[SqueezeNet](vision/classification/squeezenet)</b>|[Iandola et al.](https://arxiv.org/abs/1602.07360)|A light-weight CNN model providing AlexNet level accuracy with 50x fewer parameters. <br>Top-5 error from paper - ~20%| [![Hugging Face Spaces](https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Spaces-blue)](https://huggingface.co/spaces/onnx/SqueezeNet) |
-|<b>[VGG](vision/classification/vgg)</b>|[Simonyan et al.](https://arxiv.org/abs/1409.1556)|Deep CNN model(up to 19 layers). Similar to AlexNet but uses multiple smaller kernel-sized filters that provides more accuracy when classifying images. <br>Top-5 error from paper - ~8%| [![Hugging Face Spaces](https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Spaces-blue)](https://huggingface.co/spaces/onnx/VGG) |
-|<b>[AlexNet](vision/classification/alexnet)</b>|[Krizhevsky et al.](https://papers.nips.cc/paper/4824-imagenet-classification-with-deep-convolutional-neural-networks.pdf)|A Deep CNN model (up to 8 layers) where the input is an image and the output is a vector of 1000 numbers. <br> Top-5 error from paper - ~15%| [![Hugging Face Spaces](https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Spaces-blue)](https://huggingface.co/spaces/onnx/AlexNet) |
-|<b>[GoogleNet](vision/classification/inception_and_googlenet/googlenet)</b>|[Szegedy et al.](https://arxiv.org/pdf/1409.4842.pdf)|Deep CNN model(up to 22 layers). Comparatively smaller and faster than VGG and more accurate in detailing than AlexNet. <br> Top-5 error from paper - ~6.7%| [![Hugging Face Spaces](https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Spaces-blue)](https://huggingface.co/spaces/onnx/GoogleNet) |
-|<b>[CaffeNet](vision/classification/caffenet)</b>|[Krizhevsky et al.]( https://ucb-icsi-vision-group.github.io/caffe-paper/caffe.pdf)|Deep CNN variation of AlexNet for Image Classification in Caffe where the max pooling precedes the local response normalization (LRN) so that the LRN takes less compute and memory.| [![Hugging Face Spaces](https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Spaces-blue)](https://huggingface.co/spaces/onnx/CaffeNet) |
-|<b>[RCNN_ILSVRC13](vision/classification/rcnn_ilsvrc13)</b>|[Girshick et al.](https://arxiv.org/abs/1311.2524)|Pure Caffe implementation of R-CNN for image classification. This model uses localization of regions to classify and extract features from images.|
-|<b>[DenseNet-121](vision/classification/densenet-121)</b>|[Huang et al.](https://arxiv.org/abs/1608.06993)|Model that has every layer connected to every other layer and passes on its own feature providing strong gradient flow and more diversified features.| [![Hugging Face Spaces](https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Spaces-blue)](https://huggingface.co/spaces/onnx/DenseNet-121) |
-|<b>[Inception_V1](vision/classification/inception_and_googlenet/inception_v1)</b>|[Szegedy et al.](https://arxiv.org/abs/1409.4842)|This model is same as GoogLeNet, implemented through Caffe2 that has improved utilization of the computing resources inside the network and helps with the vanishing gradient problem. <br> Top-5 error from paper - ~6.7%| [![Hugging Face Spaces](https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Spaces-blue)](https://huggingface.co/spaces/onnx/Inception_v1) |
-|<b>[Inception_V2](vision/classification/inception_and_googlenet/inception_v2)</b>|[Szegedy et al.](https://arxiv.org/abs/1512.00567)|Deep CNN model for Image Classification as an adaptation to Inception v1 with batch normalization. This model has reduced computational cost and improved image resolution compared to Inception v1. <br> Top-5 error from paper ~4.82%|
-|<b>[ShuffleNet_V1](vision/classification/shufflenet)</b>|[Zhang et al.](https://arxiv.org/abs/1707.01083)|Extremely computation efficient CNN model that is designed specifically for mobile devices. This model greatly reduces the computational cost and provides a ~13x speedup over AlexNet on ARM-based mobile devices. Compared to MobileNet, ShuffleNet achieves superior performance by a significant margin due to it's efficient structure. <br> Top-1 error from paper - ~32.6%|
-|<b>[ShuffleNet_V2](vision/classification/shufflenet)</b>|[Zhang et al.](https://arxiv.org/abs/1807.11164)|Extremely computation efficient CNN model that is designed specifically for mobile devices. This network architecture design considers direct metric such as speed, instead of indirect metric like FLOP. <br> Top-1 error from paper - ~30.6%|
-|<b>[ZFNet-512](vision/classification/zfnet-512)</b>|[Zeiler et al.](https://arxiv.org/abs/1311.2901)|Deep CNN model (up to 8 layers) that increased the number of features that the network is capable of detecting that helps to pick image features at a finer level of resolution. <br> Top-5 error from paper - ~14.3%| [![Hugging Face Spaces](https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Spaces-blue)](https://huggingface.co/spaces/onnx/ZFNet-512) |
-|<b>[EfficientNet-Lite4](vision/classification/efficientnet-lite4)</b>|[Tan et al.](https://arxiv.org/abs/1905.11946)|CNN model with an order of magnitude of few computations and parameters, while still acheiving state-of-the-art accuracy and better efficiency than previous ConvNets. <br> Top-5 error from paper - ~2.9%| [![Hugging Face Spaces](https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Spaces-blue)](https://huggingface.co/spaces/onnx/EfficientNet-Lite4) |
-<hr>
-
-#### Domain-based Image Classification <a name="domain_based_image"/>
-This subset of models classify images for specific domains and datasets.
-
-|Model Class |Reference |Description |
-|-|-|-|
-|<b>[MNIST-Handwritten Digit Recognition](vision/classification/mnist)</b>|[Convolutional Neural Network with MNIST](https://github.com/Microsoft/CNTK/blob/master/Tutorials/CNTK_103D_MNIST_ConvolutionalNeuralNetwork.ipynb)	|Deep CNN model for handwritten digit identification|
-<hr>
-
-### Object Detection & Image Segmentation <a name="object_detection"/>
-Object detection models detect the presence of multiple objects in an image and segment out areas of the image where the objects are detected. Semantic segmentation models partition an input image by labeling each pixel into a set of pre-defined categories.
-
-|Model Class |Reference |Description |Hugging Face Spaces |
-|-|-|-|-|
-|<b>[Tiny YOLOv2](vision/object_detection_segmentation/tiny-yolov2)</b>|[Redmon et al.](https://arxiv.org/pdf/1612.08242.pdf)|A real-time CNN for object detection that detects 20 different classes. A smaller version of the more complex full YOLOv2 network.|
-|<b>[SSD](vision/object_detection_segmentation/ssd)</b>|[Liu et al.](https://arxiv.org/abs/1512.02325)|Single Stage Detector: real-time CNN for object detection that detects 80 different classes.|
-|<b>[SSD-MobileNetV1](vision/object_detection_segmentation/ssd-mobilenetv1)</b>|[Howard et al.](https://arxiv.org/abs/1704.04861)|A variant of MobileNet that uses the Single Shot Detector (SSD) model framework. The model detects 80 different object classes and locates up to 10 objects in an image.|
-|<b>[Faster-RCNN](vision/object_detection_segmentation/faster-rcnn)</b>|[Ren et al.](https://arxiv.org/abs/1506.01497)|Increases efficiency from R-CNN by connecting a RPN with a CNN to create a single, unified network for object detection that detects 80 different classes.| [![Hugging Face Spaces](https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Spaces-blue)](https://huggingface.co/spaces/onnx/faster-rcnn) |
-|<b>[Mask-RCNN](vision/object_detection_segmentation/mask-rcnn)</b>|[He et al.](https://arxiv.org/abs/1703.06870)|A real-time neural network for object instance segmentation that detects 80 different classes. Extends Faster R-CNN as each of the 300 elected ROIs go through 3 parallel branches of the network: label prediction, bounding box prediction and mask prediction.| [![Hugging Face Spaces](https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Spaces-blue)](https://huggingface.co/spaces/onnx/mask-rcnn) |
-|<b>[RetinaNet](vision/object_detection_segmentation/retinanet)</b>|[Lin et al.](https://arxiv.org/abs/1708.02002)|A real-time dense detector network for object detection that addresses class imbalance through Focal Loss. RetinaNet is able to match the speed of previous one-stage detectors and defines the state-of-the-art in two-stage detectors (surpassing R-CNN).|
-|<b>[YOLO v2-coco](vision/object_detection_segmentation/yolov2-coco)</b>|[Redmon et al.](https://arxiv.org/abs/1612.08242)|A CNN model for real-time object detection system that can detect over 9000 object categories. It uses a single network evaluation, enabling it to be more than 1000x faster than R-CNN and 100x faster than Faster R-CNN. This model is trained with COCO dataset and contains 80 classes.
-|<b>[YOLO v3](vision/object_detection_segmentation/yolov3)</b>|[Redmon et al.](https://arxiv.org/pdf/1804.02767.pdf)|A deep CNN model for real-time object detection that detects 80 different classes. A little bigger than YOLOv2 but still very fast. As accurate as SSD but 3 times faster.|
-|<b>[Tiny YOLOv3](vision/object_detection_segmentation/tiny-yolov3)</b>|[Redmon et al.](https://arxiv.org/pdf/1804.02767.pdf)| A smaller version of YOLOv3 model. |
-|<b>[YOLOv4](vision/object_detection_segmentation/yolov4)</b>|[Bochkovskiy et al.](https://arxiv.org/abs/2004.10934)|Optimizes the speed and accuracy of object detection. Two times faster than EfficientDet. It improves YOLOv3's AP and FPS by 10% and 12%, respectively, with mAP50 of 52.32 on the COCO 2017 dataset and FPS of 41.7 on a Tesla V100.| [![Hugging Face Spaces](https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Spaces-blue)](https://huggingface.co/spaces/onnx/yolov4) |
-|<b>[DUC](vision/object_detection_segmentation/duc)</b>|[Wang et al.](https://arxiv.org/abs/1702.08502)|Deep CNN based pixel-wise semantic segmentation model with >80% [mIOU](/models/semantic_segmentation/DUC/README.md/#metric) (mean Intersection Over Union). Trained on cityscapes dataset, which can be effectively implemented in self driving vehicle systems.| [![Hugging Face Spaces](https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Spaces-blue)](https://huggingface.co/spaces/onnx/DUC) |
-|<b>[FCN](vision/object_detection_segmentation/fcn)|[Long et al.](https://people.eecs.berkeley.edu/~jonlong/long_shelhamer_fcn.pdf)|Deep CNN based segmentation model trained end-to-end, pixel-to-pixel that produces efficient inference and learning. Built off of AlexNet, VGG net, GoogLeNet classification methods. <br>[contribute](contribute.md)| [![Hugging Face Spaces](https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Spaces-blue)](https://huggingface.co/spaces/onnx/FCN) |
-<hr>
-
-### Body, Face & Gesture Analysis <a name="body_analysis"/>
-Face detection models identify and/or recognize human faces and emotions in given images. Body and Gesture Analysis models identify gender and age in given image.
-
-|Model Class |Reference |Description |Hugging Face Spaces |
-|-|-|-|-|
-|<b>[ArcFace](vision/body_analysis/arcface)</b>|[Deng et al.](https://arxiv.org/abs/1801.07698)|A CNN based model for face recognition which learns discriminative features of faces and produces embeddings for input face images.| [![Hugging Face Spaces](https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Spaces-blue)](https://huggingface.co/spaces/onnx/ArcFace) |
-|<b>[UltraFace](vision/body_analysis/ultraface)</b>|[Ultra-lightweight face detection model](https://github.com/Linzaer/Ultra-Light-Fast-Generic-Face-Detector-1MB)|This model is a lightweight facedetection model designed for edge computing devices.| [![Hugging Face Spaces](https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Spaces-blue)](https://huggingface.co/spaces/onnx/ultraface) |
-|<b>[Emotion FerPlus](vision/body_analysis/emotion_ferplus)</b> |[Barsoum et al.](https://arxiv.org/abs/1608.01041)	| Deep CNN for emotion recognition trained on images of faces.|
-|<b>[Age and Gender Classification using Convolutional Neural Networks](vision/body_analysis/age_gender)</b>| [Rothe et al.](https://data.vision.ee.ethz.ch/cvl/publications/papers/proceedings/eth_biwi_01229.pdf)	|This model accurately classifies gender and age even the amount of learning data is limited.|
-<hr>
-
-### Image Manipulation <a name="image_manipulation"/>
-Image manipulation models use neural networks to transform input images to modified output images. Some popular models in this category involve style transfer or enhancing images by increasing resolution.
-
-|Model Class |Reference |Description |Hugging Face Spaces |
-|-|-|-|-|
-|Unpaired Image to Image Translation using Cycle consistent Adversarial Network|[Zhu et al.](https://arxiv.org/abs/1703.10593)|The model uses learning to translate an image from a source domain X to a target domain Y in the absence of paired examples. <br>[contribute](contribute.md)|
-|<b>[Super Resolution with sub-pixel CNN](vision/super_resolution/sub_pixel_cnn_2016)</b> |	[Shi et al.](https://arxiv.org/abs/1609.05158)	|A deep CNN that uses sub-pixel convolution layers to upscale the input image. | [![Hugging Face Spaces](https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Spaces-blue)](https://huggingface.co/spaces/onnx/sub_pixel_cnn_2016) |
-|<b>[Fast Neural Style Transfer](vision/style_transfer/fast_neural_style)</b> |	[Johnson et al.](https://arxiv.org/abs/1603.08155)	|This method uses a loss network pretrained for image classification to define perceptual loss functions that measure perceptual differences in content and style between images. The loss network remains fixed during the training process.|
-<hr>
-
-### Speech & Audio Processing <a name="speech"/>
-This class of models uses audio data to train models that can identify voice, generate music, or even read text out loud.
-
-|Model Class |Reference |Description |
-|-|-|-|
-|Speech recognition with deep recurrent neural networks|	[Graves et al.](https://www.cs.toronto.edu/~fritz/absps/RNN13.pdf)|A RNN model for sequential data for speech recognition. Labels problems where the input-output alignment is unknown<br>[contribute](contribute.md)|
-|Deep voice: Real time neural text to speech |	[Arik et al.](https://arxiv.org/abs/1702.07825)	|A DNN model that performs end-to-end neural speech synthesis. Requires fewer parameters and it is faster than other systems. <br>[contribute](contribute.md)|
-|Sound Generative models|	[WaveNet: A Generative Model for Raw Audio ](https://arxiv.org/abs/1609.03499)|A CNN model that generates raw audio waveforms. Has predictive distribution for each audio sample. Generates realistic music fragments. <br>[contribute](contribute.md)|
-<hr>
-
-### Machine Comprehension <a name="machine_comprehension"/>
-This subset of natural language processing models that answer questions about a given context paragraph.
-
-|Model Class |Reference |Description |Hugging Face Spaces|
-|-|-|-|-|
-|<b>[Bidirectional Attention Flow](text/machine_comprehension/bidirectional_attention_flow)</b>|[Seo et al.](https://arxiv.org/pdf/1611.01603)|A model that answers a query about a given context paragraph.| [![Hugging Face Spaces](https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Spaces-blue)](https://huggingface.co/spaces/onnx/BiDAF) |
-|<b>[BERT-Squad](text/machine_comprehension/bert-squad)</b>|[Devlin et al.](https://arxiv.org/pdf/1810.04805.pdf)|This model answers questions based on the context of the given input paragraph. | [![Hugging Face Spaces](https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Spaces-blue)](https://huggingface.co/spaces/onnx/BERT-Squad) |
-|<b>[RoBERTa](text/machine_comprehension/roberta)</b>|[Liu et al.](https://arxiv.org/pdf/1907.11692.pdf)|A large transformer-based model that predicts sentiment based on given input text.| [![Hugging Face Spaces](https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Spaces-blue)](https://huggingface.co/spaces/onnx/RoBERTa) |
-|<b>[GPT-2](text/machine_comprehension/gpt-2)</b>|[Radford et al.](https://d4mucfpksywv.cloudfront.net/better-language-models/language_models_are_unsupervised_multitask_learners.pdf)|A large transformer-based language model that given a sequence of words within some text, predicts the next word. | [![Hugging Face Spaces](https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Spaces-blue)](https://huggingface.co/spaces/onnx/GPT-2) |
-|<b>[T5](text/machine_comprehension/t5)</b>|[Raffel et al.](https://arxiv.org/abs/1910.10683)|A large transformer-based language model trained on multiple tasks at once to achieve better semantic understanding of the prompt, capable of sentiment-analysis, question-answering, similarity-detection, translation, summarization, etc. |[![Hugging Face Spaces](https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Spaces-blue)](https://huggingface.co/spaces/onnx/T5) |
-<hr>
-
-### Machine Translation <a name="machine_translation"/>
-This class of natural language processing models learns how to translate input text to another language.
-
-|Model Class |Reference |Description |
-|-|-|-|
-|Neural Machine Translation by jointly learning to align and translate|	[Bahdanau et al.](https://arxiv.org/abs/1409.0473)|Aims to build a single neural network that can be jointly tuned to maximize the translation performance. <br>[contribute](contribute.md)|
-|Google's Neural Machine Translation System|	[Wu et al.](https://arxiv.org/abs/1609.08144)|This model helps to improve issues faced by the Neural Machine Translation (NMT) systems like parallelism that helps accelerate the final translation speed.<br>[contribute](contribute.md)|
-<hr>
-
-### Language Modelling <a name="language_modelling"/>
-This subset of natural language processing models learns representations of language from large corpuses of text.
-
-|Model Class |Reference |Description |
-|-|-|-|
-|Deep Neural Network Language Models | [Arisoy et al.](https://pdfs.semanticscholar.org/a177/45f1d7045636577bcd5d513620df5860e9e5.pdf)|A DNN acoustic model. Used in many natural language technologies. Represents a probability distribution over all possible word strings in a language. <br> [contribute](contribute.md)|
-<hr>
-
-### Visual Question Answering & Dialog <a name="visual_qna"/>
-This subset of natural language processing models uses input images to answer questions about those images.
-
-|Model Class |Reference |Description |
-|-|-|-|
-|VQA: Visual Question Answering |[Agrawal et al.](https://arxiv.org/pdf/1505.00468v6.pdf)|A model that takes an image and a free-form, open-ended natural language question about the image and outputs a natural-language answer. <br>[contribute](contribute.md)|
-|Yin and Yang: Balancing and Answering Binary Visual Questions |[Zhang et al.](https://arxiv.org/pdf/1511.05099.pdf)|Addresses VQA by converting the question to a tuple that concisely summarizes the visual concept to be detected in the image. Next, if the concept can be found in the image, it provides a “yes” or “no” answer. Its performance matches the traditional VQA approach on unbalanced dataset, and outperforms it on the balanced dataset. <br>[contribute](contribute.md)|
-|Making the V in VQA Matter|[Goyal et al.](https://arxiv.org/pdf/1612.00837.pdf)|Balances the VQA dataset by collecting complementary images such that every question is associated with a pair of similar images that result in two different answers to the question, providing a unique interpretable model that provides a counter-example based explanation.  <br>[contribute](contribute.md)|
-|Visual Dialog|	[Das et al.](https://arxiv.org/abs/1611.08669)|An AI agent that holds a meaningful dialog with humans in natural, conversational language about visual content. Curates a large-scale Visual Dialog dataset (VisDial). <br>[contribute](contribute.md)|
-<hr>
-
-### Other interesting models <a name="others"/>
-There are many interesting deep learning models that do not fit into the categories described above. The ONNX team would like to highly encourage users and researchers to [contribute](contribute.md) their models to the growing model zoo.
-
-|Model Class |Reference |Description |
-|-|-|-|
-|Text to Image|	[Generative Adversarial Text to image Synthesis ](https://arxiv.org/abs/1605.05396)|Effectively bridges the advances in text and image modeling, translating visual concepts from characters to pixels. Generates plausible images of birds and flowers from detailed text descriptions. <br>[contribute](contribute.md)|
-|Time Series Forecasting|	[Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks ](https://arxiv.org/pdf/1703.07015.pdf)|The model extracts short-term local dependency patterns among variables and to discover long-term patterns for time series trends. It helps to predict solar plant energy output, electricity consumption, and traffic jam situations. <br>[contribute](contribute.md)|
-|Recommender systems|[DropoutNet: Addressing Cold Start in Recommender Systems](http://www.cs.toronto.edu/~mvolkovs/nips2017_deepcf.pdf)|A collaborative filtering method that makes predictions about an individual’s preference based on preference information from other users.<br>[contribute](contribute.md)|
-|Collaborative filtering|[Neural Collaborative Filtering](https://arxiv.org/pdf/1708.05031.pdf)|A DNN model based on the interaction between user and item features using matrix factorization. <br>[contribute](contribute.md)|
-|Autoencoders|[A Hierarchical Neural Autoencoder for Paragraphs and Documents](https://arxiv.org/abs/1506.01057)|An LSTM (long-short term memory) auto-encoder to preserve and reconstruct multi-sentence paragraphs.<br>[contribute](contribute.md)|
-<hr>
-
-## Usage <a name="usage-"/>
-
-Every ONNX backend should support running the models out of the box. After downloading and extracting the tarball of each model, you will find:
-
-- A protobuf file `model.onnx` that represents the serialized ONNX model.
-- Test data (in the form of serialized protobuf TensorProto files or serialized NumPy archives).
-
-### Usage - Test data starter code
-
-The test data files can be used to validate ONNX models from the Model Zoo. We have provided the following interface examples for you to get started. Please replace `onnx_backend` in your code with the appropriate framework of your choice that provides ONNX inferencing support, and likewise replace `backend.run_model` with the framework's model evaluation logic.
-
-There are two different formats for the test data files:
-
-- Serialized protobuf TensorProtos (.pb), stored in folders with the naming convention `test_data_set_*`.
-
-```python
-import numpy as np
-import onnx
-import os
-import glob
-import onnx_backend as backend
-
-from onnx import numpy_helper
-
-model = onnx.load('model.onnx')
-test_data_dir = 'test_data_set_0'
-
-# Load inputs
-inputs = []
-inputs_num = len(glob.glob(os.path.join(test_data_dir, 'input_*.pb')))
-for i in range(inputs_num):
-    input_file = os.path.join(test_data_dir, 'input_{}.pb'.format(i))
-    tensor = onnx.TensorProto()
-    with open(input_file, 'rb') as f:
-        tensor.ParseFromString(f.read())
-    inputs.append(numpy_helper.to_array(tensor))
-
-# Load reference outputs
-ref_outputs = []
-ref_outputs_num = len(glob.glob(os.path.join(test_data_dir, 'output_*.pb')))
-for i in range(ref_outputs_num):
-    output_file = os.path.join(test_data_dir, 'output_{}.pb'.format(i))
-    tensor = onnx.TensorProto()
-    with open(output_file, 'rb') as f:
-        tensor.ParseFromString(f.read())
-    ref_outputs.append(numpy_helper.to_array(tensor))
-
-# Run the model on the backend
-outputs = list(backend.run_model(model, inputs))
-
-# Compare the results with reference outputs.
-for ref_o, o in zip(ref_outputs, outputs):
-    np.testing.assert_almost_equal(ref_o, o)
-```
 
-- Serialized Numpy archives, stored in files with the naming convention `test_data_*.npz`. Each file contains one set of test inputs and outputs.
+Our Model Zoo covers a variety of use cases including:
 
-```python
-import numpy as np
-import onnx
-import onnx_backend as backend
+- Computer Vision
+- Natural Language Processing (NLP)
+- Generative AI
+- Graph Machine Learning
 
-# Load the model and sample inputs and outputs
-model = onnx.load(model_pb_path)
-sample = np.load(npz_path, encoding='bytes')
-inputs = list(sample['inputs'])
-outputs = list(sample['outputs'])
+These models are sourced from prominent open-source repositories such as [timm](https://github.com/huggingface/pytorch-image-models), [torchvision](https://github.com/pytorch/vision), [torch_hub](https://pytorch.org/hub/), and [transformers](https://github.com/huggingface/transformers), and exported into the ONNX format using the open-source [TurnkeyML toolchain](insert-link-here).
 
-# Run the model with an onnx backend and verify the results
-np.testing.assert_almost_equal(outputs, backend.run_model(model, inputs))
-```
 
-### Usage - Model quantization
-You can get quantized ONNX models by using [Intel® Neural Compressor](https://github.com/intel/neural-compressor). It provides web-based UI service to make quantization easier and supports code-based usage for more abundant quantization settings. Refer to [bench document](https://github.com/intel/neural-compressor/blob/master/docs/bench.md) for how to use web-based UI service and [example document](./resource/docs/INC_code.md) for a simple code-based demo.
-![image](./resource/images/INC_GUI.gif)
+## Usage
 
-### Usage - Git LFS <a name="gitlfs-"/>
+There are multiple ways to access the ONNX Model Zoo:
 
-On default, cloning this repository will not download any ONNX models. Install Git LFS with `pip install git-lfs`.
+### Webpage (Recommended)
+
+The [Model Zoo webpage](link-here) provides a user-friendly interface to browse models based on use case, author, or by searching for specific model names. It also offers a direct download option for your convenience.
+
+### Git Clone (Not Recommended)
+
+Cloning the repository using git won't automatically download the ONNX models due to their size. To manage these files, first, install Git LFS by running:
+
+```bash
+pip install git-lfs
+```
 
 To download a specific model:
-`git lfs pull --include="[path to model].onnx" --exclude=""`
+
+```bash
+git lfs pull --include="[path to model].onnx" --exclude=""
+```
 
 To download all models:
-`git lfs pull --include="*" --exclude=""`
 
-### Usage - Model visualization
-You can see visualizations of each model's network architecture by using [Netron](https://github.com/lutzroeder/Netron).
+```bash
+git lfs pull --include="*" --exclude=""
+```
+
+### GitHub UI
+
+Alternatively, you can download models directly from GitHub. Navigate to the model's page and click the "Download" button on the top right corner.
+
+## Model Visualization
+
+For a graphical representation of each model's architecture, we recommend using [Netron](https://github.com/lutzroeder/netron).
 
 ## Contributions
-Do you want to contribute a model? To get started, pick any model presented above with the [contribute](contribute.md) link under the Description column. The links point to a page containing guidelines for making a contribution.
+
+Contributions to the ONNX Model Zoo are welcome! Please check our [contribution guidelines](here) for more information on how you can contribute to the growth and improvement of this resource.
+
+Thank you for your interest in the ONNX Model Zoo, and we look forward to your participation in our community!
 
 # License
 
diff --git a/archive/README.md b/archive/README.md
new file mode 100644
index 000000000..592026437
--- /dev/null
+++ b/archive/README.md
@@ -0,0 +1,262 @@
+<!--- SPDX-License-Identifier: Apache-2.0 -->
+
+
+># Deprecation Notice:
+>This repository is undergoing changes and will be transitioning to a new and refreshed ONNX Model Zoo featuring state-of-the-art models and the latest opsets by the end of this year. The current set of models in this repository will be moved to an archive and will eventually be deprecated. If you rely on models from this repository, we recommend transitioning to the new ONNX Model Zoo once it is available. If you have any questions or concerns, please open an issue or contact @ramkrishna2910/ @jcwchen for assistance. Thank you for your understanding. Stay tuned!
+
+# ONNX Model Zoo
+
+[Open Neural Network Exchange (ONNX)](http://onnx.ai) is an open standard format for representing machine learning models. ONNX is supported by a community of partners who have implemented it in many frameworks and tools.
+
+The ONNX Model Zoo is a collection of pre-trained, state-of-the-art models in the ONNX format contributed by community members like you. Accompanying each model are [Jupyter notebooks](http://jupyter.org) for model training and running inference with the trained model. The notebooks are written in Python and include links to the training dataset as well as references to the original paper that describes the model architecture.
+
+We have standardized on [Git LFS (Large File Storage)](https://git-lfs.github.com/) to store ONNX model files. To download an ONNX model, navigate to the appropriate Github page and click the `Download` button on the top right.
+
+## Models
+#### Read the [Usage](#usage-) section below for more details on the file formats in the ONNX Model Zoo (.onnx, .pb, .npz), downloading multiple ONNX models through [Git LFS command line](#gitlfs-), and starter Python code for validating your ONNX model using test data.
+
+#### INT8 models are generated by [Intel® Neural Compressor](https://github.com/intel/neural-compressor). [Intel® Neural Compressor](https://github.com/intel/neural-compressor) is an open-source Python library which supports automatic accuracy-driven tuning strategies to help user quickly find out the best quantized model. It implements dynamic and static quantization for ONNX models and can represent quantized ONNX models with operator oriented as well as tensor oriented (QDQ) ways. Users can use web-based UI service or python code to do quantization. Read the [Introduction](https://github.com/intel/neural-compressor/blob/master/README.md) for more details.
+
+#### Vision
+* [Image Classification](#image_classification)
+* [Object Detection & Image Segmentation](#object_detection)
+* [Body, Face & Gesture Analysis](#body_analysis)
+* [Image Manipulation](#image_manipulation)
+
+#### Language
+* [Machine Comprehension](#machine_comprehension)
+* [Machine Translation](#machine_translation)
+* [Language Modelling](#language_modelling)
+
+#### Other
+* [Visual Question Answering & Dialog](#visual_qna)
+* [Speech & Audio Processing](#speech)
+* [Other interesting models](#others)
+
+### Image Classification <a name="image_classification"/>
+This collection of models take images as input, then classifies the major objects in the images into 1000 object categories such as keyboard, mouse, pencil, and many animals.
+
+|Model Class |Reference |Description |Huggingface Spaces|
+|-|-|-|-|
+|<b>[MobileNet](vision/classification/mobilenet)</b>|[Sandler et al.](https://arxiv.org/abs/1801.04381)|Light-weight deep neural network best suited for mobile and embedded vision applications. <br>Top-5 error from paper - ~10%|
+|<b>[ResNet](vision/classification/resnet)</b>|[He et al.](https://arxiv.org/abs/1512.03385)|A CNN model (up to 152 layers). Uses shortcut connections to achieve higher accuracy when classifying images. <br> Top-5 error from paper - ~3.6%| [![Hugging Face Spaces](https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Spaces-blue)](https://huggingface.co/spaces/onnx/ResNet) |
+|<b>[SqueezeNet](vision/classification/squeezenet)</b>|[Iandola et al.](https://arxiv.org/abs/1602.07360)|A light-weight CNN model providing AlexNet level accuracy with 50x fewer parameters. <br>Top-5 error from paper - ~20%| [![Hugging Face Spaces](https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Spaces-blue)](https://huggingface.co/spaces/onnx/SqueezeNet) |
+|<b>[VGG](vision/classification/vgg)</b>|[Simonyan et al.](https://arxiv.org/abs/1409.1556)|Deep CNN model(up to 19 layers). Similar to AlexNet but uses multiple smaller kernel-sized filters that provides more accuracy when classifying images. <br>Top-5 error from paper - ~8%| [![Hugging Face Spaces](https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Spaces-blue)](https://huggingface.co/spaces/onnx/VGG) |
+|<b>[AlexNet](vision/classification/alexnet)</b>|[Krizhevsky et al.](https://papers.nips.cc/paper/4824-imagenet-classification-with-deep-convolutional-neural-networks.pdf)|A Deep CNN model (up to 8 layers) where the input is an image and the output is a vector of 1000 numbers. <br> Top-5 error from paper - ~15%| [![Hugging Face Spaces](https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Spaces-blue)](https://huggingface.co/spaces/onnx/AlexNet) |
+|<b>[GoogleNet](vision/classification/inception_and_googlenet/googlenet)</b>|[Szegedy et al.](https://arxiv.org/pdf/1409.4842.pdf)|Deep CNN model(up to 22 layers). Comparatively smaller and faster than VGG and more accurate in detailing than AlexNet. <br> Top-5 error from paper - ~6.7%| [![Hugging Face Spaces](https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Spaces-blue)](https://huggingface.co/spaces/onnx/GoogleNet) |
+|<b>[CaffeNet](vision/classification/caffenet)</b>|[Krizhevsky et al.]( https://ucb-icsi-vision-group.github.io/caffe-paper/caffe.pdf)|Deep CNN variation of AlexNet for Image Classification in Caffe where the max pooling precedes the local response normalization (LRN) so that the LRN takes less compute and memory.| [![Hugging Face Spaces](https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Spaces-blue)](https://huggingface.co/spaces/onnx/CaffeNet) |
+|<b>[RCNN_ILSVRC13](vision/classification/rcnn_ilsvrc13)</b>|[Girshick et al.](https://arxiv.org/abs/1311.2524)|Pure Caffe implementation of R-CNN for image classification. This model uses localization of regions to classify and extract features from images.|
+|<b>[DenseNet-121](vision/classification/densenet-121)</b>|[Huang et al.](https://arxiv.org/abs/1608.06993)|Model that has every layer connected to every other layer and passes on its own feature providing strong gradient flow and more diversified features.| [![Hugging Face Spaces](https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Spaces-blue)](https://huggingface.co/spaces/onnx/DenseNet-121) |
+|<b>[Inception_V1](vision/classification/inception_and_googlenet/inception_v1)</b>|[Szegedy et al.](https://arxiv.org/abs/1409.4842)|This model is same as GoogLeNet, implemented through Caffe2 that has improved utilization of the computing resources inside the network and helps with the vanishing gradient problem. <br> Top-5 error from paper - ~6.7%| [![Hugging Face Spaces](https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Spaces-blue)](https://huggingface.co/spaces/onnx/Inception_v1) |
+|<b>[Inception_V2](vision/classification/inception_and_googlenet/inception_v2)</b>|[Szegedy et al.](https://arxiv.org/abs/1512.00567)|Deep CNN model for Image Classification as an adaptation to Inception v1 with batch normalization. This model has reduced computational cost and improved image resolution compared to Inception v1. <br> Top-5 error from paper ~4.82%|
+|<b>[ShuffleNet_V1](vision/classification/shufflenet)</b>|[Zhang et al.](https://arxiv.org/abs/1707.01083)|Extremely computation efficient CNN model that is designed specifically for mobile devices. This model greatly reduces the computational cost and provides a ~13x speedup over AlexNet on ARM-based mobile devices. Compared to MobileNet, ShuffleNet achieves superior performance by a significant margin due to it's efficient structure. <br> Top-1 error from paper - ~32.6%|
+|<b>[ShuffleNet_V2](vision/classification/shufflenet)</b>|[Zhang et al.](https://arxiv.org/abs/1807.11164)|Extremely computation efficient CNN model that is designed specifically for mobile devices. This network architecture design considers direct metric such as speed, instead of indirect metric like FLOP. <br> Top-1 error from paper - ~30.6%|
+|<b>[ZFNet-512](vision/classification/zfnet-512)</b>|[Zeiler et al.](https://arxiv.org/abs/1311.2901)|Deep CNN model (up to 8 layers) that increased the number of features that the network is capable of detecting that helps to pick image features at a finer level of resolution. <br> Top-5 error from paper - ~14.3%| [![Hugging Face Spaces](https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Spaces-blue)](https://huggingface.co/spaces/onnx/ZFNet-512) |
+|<b>[EfficientNet-Lite4](vision/classification/efficientnet-lite4)</b>|[Tan et al.](https://arxiv.org/abs/1905.11946)|CNN model with an order of magnitude of few computations and parameters, while still acheiving state-of-the-art accuracy and better efficiency than previous ConvNets. <br> Top-5 error from paper - ~2.9%| [![Hugging Face Spaces](https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Spaces-blue)](https://huggingface.co/spaces/onnx/EfficientNet-Lite4) |
+<hr>
+
+#### Domain-based Image Classification <a name="domain_based_image"/>
+This subset of models classify images for specific domains and datasets.
+
+|Model Class |Reference |Description |
+|-|-|-|
+|<b>[MNIST-Handwritten Digit Recognition](vision/classification/mnist)</b>|[Convolutional Neural Network with MNIST](https://github.com/Microsoft/CNTK/blob/master/Tutorials/CNTK_103D_MNIST_ConvolutionalNeuralNetwork.ipynb)	|Deep CNN model for handwritten digit identification|
+<hr>
+
+### Object Detection & Image Segmentation <a name="object_detection"/>
+Object detection models detect the presence of multiple objects in an image and segment out areas of the image where the objects are detected. Semantic segmentation models partition an input image by labeling each pixel into a set of pre-defined categories.
+
+|Model Class |Reference |Description |Hugging Face Spaces |
+|-|-|-|-|
+|<b>[Tiny YOLOv2](vision/object_detection_segmentation/tiny-yolov2)</b>|[Redmon et al.](https://arxiv.org/pdf/1612.08242.pdf)|A real-time CNN for object detection that detects 20 different classes. A smaller version of the more complex full YOLOv2 network.|
+|<b>[SSD](vision/object_detection_segmentation/ssd)</b>|[Liu et al.](https://arxiv.org/abs/1512.02325)|Single Stage Detector: real-time CNN for object detection that detects 80 different classes.|
+|<b>[SSD-MobileNetV1](vision/object_detection_segmentation/ssd-mobilenetv1)</b>|[Howard et al.](https://arxiv.org/abs/1704.04861)|A variant of MobileNet that uses the Single Shot Detector (SSD) model framework. The model detects 80 different object classes and locates up to 10 objects in an image.|
+|<b>[Faster-RCNN](vision/object_detection_segmentation/faster-rcnn)</b>|[Ren et al.](https://arxiv.org/abs/1506.01497)|Increases efficiency from R-CNN by connecting a RPN with a CNN to create a single, unified network for object detection that detects 80 different classes.| [![Hugging Face Spaces](https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Spaces-blue)](https://huggingface.co/spaces/onnx/faster-rcnn) |
+|<b>[Mask-RCNN](vision/object_detection_segmentation/mask-rcnn)</b>|[He et al.](https://arxiv.org/abs/1703.06870)|A real-time neural network for object instance segmentation that detects 80 different classes. Extends Faster R-CNN as each of the 300 elected ROIs go through 3 parallel branches of the network: label prediction, bounding box prediction and mask prediction.| [![Hugging Face Spaces](https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Spaces-blue)](https://huggingface.co/spaces/onnx/mask-rcnn) |
+|<b>[RetinaNet](vision/object_detection_segmentation/retinanet)</b>|[Lin et al.](https://arxiv.org/abs/1708.02002)|A real-time dense detector network for object detection that addresses class imbalance through Focal Loss. RetinaNet is able to match the speed of previous one-stage detectors and defines the state-of-the-art in two-stage detectors (surpassing R-CNN).|
+|<b>[YOLO v2-coco](vision/object_detection_segmentation/yolov2-coco)</b>|[Redmon et al.](https://arxiv.org/abs/1612.08242)|A CNN model for real-time object detection system that can detect over 9000 object categories. It uses a single network evaluation, enabling it to be more than 1000x faster than R-CNN and 100x faster than Faster R-CNN. This model is trained with COCO dataset and contains 80 classes.
+|<b>[YOLO v3](vision/object_detection_segmentation/yolov3)</b>|[Redmon et al.](https://arxiv.org/pdf/1804.02767.pdf)|A deep CNN model for real-time object detection that detects 80 different classes. A little bigger than YOLOv2 but still very fast. As accurate as SSD but 3 times faster.|
+|<b>[Tiny YOLOv3](vision/object_detection_segmentation/tiny-yolov3)</b>|[Redmon et al.](https://arxiv.org/pdf/1804.02767.pdf)| A smaller version of YOLOv3 model. |
+|<b>[YOLOv4](vision/object_detection_segmentation/yolov4)</b>|[Bochkovskiy et al.](https://arxiv.org/abs/2004.10934)|Optimizes the speed and accuracy of object detection. Two times faster than EfficientDet. It improves YOLOv3's AP and FPS by 10% and 12%, respectively, with mAP50 of 52.32 on the COCO 2017 dataset and FPS of 41.7 on a Tesla V100.| [![Hugging Face Spaces](https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Spaces-blue)](https://huggingface.co/spaces/onnx/yolov4) |
+|<b>[DUC](vision/object_detection_segmentation/duc)</b>|[Wang et al.](https://arxiv.org/abs/1702.08502)|Deep CNN based pixel-wise semantic segmentation model with >80% [mIOU](/models/semantic_segmentation/DUC/README.md/#metric) (mean Intersection Over Union). Trained on cityscapes dataset, which can be effectively implemented in self driving vehicle systems.| [![Hugging Face Spaces](https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Spaces-blue)](https://huggingface.co/spaces/onnx/DUC) |
+|<b>[FCN](vision/object_detection_segmentation/fcn)|[Long et al.](https://people.eecs.berkeley.edu/~jonlong/long_shelhamer_fcn.pdf)|Deep CNN based segmentation model trained end-to-end, pixel-to-pixel that produces efficient inference and learning. Built off of AlexNet, VGG net, GoogLeNet classification methods. <br>[contribute](contribute.md)| [![Hugging Face Spaces](https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Spaces-blue)](https://huggingface.co/spaces/onnx/FCN) |
+<hr>
+
+### Body, Face & Gesture Analysis <a name="body_analysis"/>
+Face detection models identify and/or recognize human faces and emotions in given images. Body and Gesture Analysis models identify gender and age in given image.
+
+|Model Class |Reference |Description |Hugging Face Spaces |
+|-|-|-|-|
+|<b>[ArcFace](vision/body_analysis/arcface)</b>|[Deng et al.](https://arxiv.org/abs/1801.07698)|A CNN based model for face recognition which learns discriminative features of faces and produces embeddings for input face images.| [![Hugging Face Spaces](https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Spaces-blue)](https://huggingface.co/spaces/onnx/ArcFace) |
+|<b>[UltraFace](vision/body_analysis/ultraface)</b>|[Ultra-lightweight face detection model](https://github.com/Linzaer/Ultra-Light-Fast-Generic-Face-Detector-1MB)|This model is a lightweight facedetection model designed for edge computing devices.| [![Hugging Face Spaces](https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Spaces-blue)](https://huggingface.co/spaces/onnx/ultraface) |
+|<b>[Emotion FerPlus](vision/body_analysis/emotion_ferplus)</b> |[Barsoum et al.](https://arxiv.org/abs/1608.01041)	| Deep CNN for emotion recognition trained on images of faces.|
+|<b>[Age and Gender Classification using Convolutional Neural Networks](vision/body_analysis/age_gender)</b>| [Rothe et al.](https://data.vision.ee.ethz.ch/cvl/publications/papers/proceedings/eth_biwi_01229.pdf)	|This model accurately classifies gender and age even the amount of learning data is limited.|
+<hr>
+
+### Image Manipulation <a name="image_manipulation"/>
+Image manipulation models use neural networks to transform input images to modified output images. Some popular models in this category involve style transfer or enhancing images by increasing resolution.
+
+|Model Class |Reference |Description |Hugging Face Spaces |
+|-|-|-|-|
+|Unpaired Image to Image Translation using Cycle consistent Adversarial Network|[Zhu et al.](https://arxiv.org/abs/1703.10593)|The model uses learning to translate an image from a source domain X to a target domain Y in the absence of paired examples. <br>[contribute](contribute.md)|
+|<b>[Super Resolution with sub-pixel CNN](vision/super_resolution/sub_pixel_cnn_2016)</b> |	[Shi et al.](https://arxiv.org/abs/1609.05158)	|A deep CNN that uses sub-pixel convolution layers to upscale the input image. | [![Hugging Face Spaces](https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Spaces-blue)](https://huggingface.co/spaces/onnx/sub_pixel_cnn_2016) |
+|<b>[Fast Neural Style Transfer](vision/style_transfer/fast_neural_style)</b> |	[Johnson et al.](https://arxiv.org/abs/1603.08155)	|This method uses a loss network pretrained for image classification to define perceptual loss functions that measure perceptual differences in content and style between images. The loss network remains fixed during the training process.|
+<hr>
+
+### Speech & Audio Processing <a name="speech"/>
+This class of models uses audio data to train models that can identify voice, generate music, or even read text out loud.
+
+|Model Class |Reference |Description |
+|-|-|-|
+|Speech recognition with deep recurrent neural networks|	[Graves et al.](https://www.cs.toronto.edu/~fritz/absps/RNN13.pdf)|A RNN model for sequential data for speech recognition. Labels problems where the input-output alignment is unknown<br>[contribute](contribute.md)|
+|Deep voice: Real time neural text to speech |	[Arik et al.](https://arxiv.org/abs/1702.07825)	|A DNN model that performs end-to-end neural speech synthesis. Requires fewer parameters and it is faster than other systems. <br>[contribute](contribute.md)|
+|Sound Generative models|	[WaveNet: A Generative Model for Raw Audio ](https://arxiv.org/abs/1609.03499)|A CNN model that generates raw audio waveforms. Has predictive distribution for each audio sample. Generates realistic music fragments. <br>[contribute](contribute.md)|
+<hr>
+
+### Machine Comprehension <a name="machine_comprehension"/>
+This subset of natural language processing models that answer questions about a given context paragraph.
+
+|Model Class |Reference |Description |Hugging Face Spaces|
+|-|-|-|-|
+|<b>[Bidirectional Attention Flow](text/machine_comprehension/bidirectional_attention_flow)</b>|[Seo et al.](https://arxiv.org/pdf/1611.01603)|A model that answers a query about a given context paragraph.| [![Hugging Face Spaces](https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Spaces-blue)](https://huggingface.co/spaces/onnx/BiDAF) |
+|<b>[BERT-Squad](text/machine_comprehension/bert-squad)</b>|[Devlin et al.](https://arxiv.org/pdf/1810.04805.pdf)|This model answers questions based on the context of the given input paragraph. | [![Hugging Face Spaces](https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Spaces-blue)](https://huggingface.co/spaces/onnx/BERT-Squad) |
+|<b>[RoBERTa](text/machine_comprehension/roberta)</b>|[Liu et al.](https://arxiv.org/pdf/1907.11692.pdf)|A large transformer-based model that predicts sentiment based on given input text.| [![Hugging Face Spaces](https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Spaces-blue)](https://huggingface.co/spaces/onnx/RoBERTa) |
+|<b>[GPT-2](text/machine_comprehension/gpt-2)</b>|[Radford et al.](https://d4mucfpksywv.cloudfront.net/better-language-models/language_models_are_unsupervised_multitask_learners.pdf)|A large transformer-based language model that given a sequence of words within some text, predicts the next word. | [![Hugging Face Spaces](https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Spaces-blue)](https://huggingface.co/spaces/onnx/GPT-2) |
+|<b>[T5](text/machine_comprehension/t5)</b>|[Raffel et al.](https://arxiv.org/abs/1910.10683)|A large transformer-based language model trained on multiple tasks at once to achieve better semantic understanding of the prompt, capable of sentiment-analysis, question-answering, similarity-detection, translation, summarization, etc. |[![Hugging Face Spaces](https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Spaces-blue)](https://huggingface.co/spaces/onnx/T5) |
+<hr>
+
+### Machine Translation <a name="machine_translation"/>
+This class of natural language processing models learns how to translate input text to another language.
+
+|Model Class |Reference |Description |
+|-|-|-|
+|Neural Machine Translation by jointly learning to align and translate|	[Bahdanau et al.](https://arxiv.org/abs/1409.0473)|Aims to build a single neural network that can be jointly tuned to maximize the translation performance. <br>[contribute](contribute.md)|
+|Google's Neural Machine Translation System|	[Wu et al.](https://arxiv.org/abs/1609.08144)|This model helps to improve issues faced by the Neural Machine Translation (NMT) systems like parallelism that helps accelerate the final translation speed.<br>[contribute](contribute.md)|
+<hr>
+
+### Language Modelling <a name="language_modelling"/>
+This subset of natural language processing models learns representations of language from large corpuses of text.
+
+|Model Class |Reference |Description |
+|-|-|-|
+|Deep Neural Network Language Models | [Arisoy et al.](https://pdfs.semanticscholar.org/a177/45f1d7045636577bcd5d513620df5860e9e5.pdf)|A DNN acoustic model. Used in many natural language technologies. Represents a probability distribution over all possible word strings in a language. <br> [contribute](contribute.md)|
+<hr>
+
+### Visual Question Answering & Dialog <a name="visual_qna"/>
+This subset of natural language processing models uses input images to answer questions about those images.
+
+|Model Class |Reference |Description |
+|-|-|-|
+|VQA: Visual Question Answering |[Agrawal et al.](https://arxiv.org/pdf/1505.00468v6.pdf)|A model that takes an image and a free-form, open-ended natural language question about the image and outputs a natural-language answer. <br>[contribute](contribute.md)|
+|Yin and Yang: Balancing and Answering Binary Visual Questions |[Zhang et al.](https://arxiv.org/pdf/1511.05099.pdf)|Addresses VQA by converting the question to a tuple that concisely summarizes the visual concept to be detected in the image. Next, if the concept can be found in the image, it provides a “yes” or “no” answer. Its performance matches the traditional VQA approach on unbalanced dataset, and outperforms it on the balanced dataset. <br>[contribute](contribute.md)|
+|Making the V in VQA Matter|[Goyal et al.](https://arxiv.org/pdf/1612.00837.pdf)|Balances the VQA dataset by collecting complementary images such that every question is associated with a pair of similar images that result in two different answers to the question, providing a unique interpretable model that provides a counter-example based explanation.  <br>[contribute](contribute.md)|
+|Visual Dialog|	[Das et al.](https://arxiv.org/abs/1611.08669)|An AI agent that holds a meaningful dialog with humans in natural, conversational language about visual content. Curates a large-scale Visual Dialog dataset (VisDial). <br>[contribute](contribute.md)|
+<hr>
+
+### Other interesting models <a name="others"/>
+There are many interesting deep learning models that do not fit into the categories described above. The ONNX team would like to highly encourage users and researchers to [contribute](contribute.md) their models to the growing model zoo.
+
+|Model Class |Reference |Description |
+|-|-|-|
+|Text to Image|	[Generative Adversarial Text to image Synthesis ](https://arxiv.org/abs/1605.05396)|Effectively bridges the advances in text and image modeling, translating visual concepts from characters to pixels. Generates plausible images of birds and flowers from detailed text descriptions. <br>[contribute](contribute.md)|
+|Time Series Forecasting|	[Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks ](https://arxiv.org/pdf/1703.07015.pdf)|The model extracts short-term local dependency patterns among variables and to discover long-term patterns for time series trends. It helps to predict solar plant energy output, electricity consumption, and traffic jam situations. <br>[contribute](contribute.md)|
+|Recommender systems|[DropoutNet: Addressing Cold Start in Recommender Systems](http://www.cs.toronto.edu/~mvolkovs/nips2017_deepcf.pdf)|A collaborative filtering method that makes predictions about an individual’s preference based on preference information from other users.<br>[contribute](contribute.md)|
+|Collaborative filtering|[Neural Collaborative Filtering](https://arxiv.org/pdf/1708.05031.pdf)|A DNN model based on the interaction between user and item features using matrix factorization. <br>[contribute](contribute.md)|
+|Autoencoders|[A Hierarchical Neural Autoencoder for Paragraphs and Documents](https://arxiv.org/abs/1506.01057)|An LSTM (long-short term memory) auto-encoder to preserve and reconstruct multi-sentence paragraphs.<br>[contribute](contribute.md)|
+<hr>
+
+## Usage <a name="usage-"/>
+
+Every ONNX backend should support running the models out of the box. After downloading and extracting the tarball of each model, you will find:
+
+- A protobuf file `model.onnx` that represents the serialized ONNX model.
+- Test data (in the form of serialized protobuf TensorProto files or serialized NumPy archives).
+
+### Usage - Test data starter code
+
+The test data files can be used to validate ONNX models from the Model Zoo. We have provided the following interface examples for you to get started. Please replace `onnx_backend` in your code with the appropriate framework of your choice that provides ONNX inferencing support, and likewise replace `backend.run_model` with the framework's model evaluation logic.
+
+There are two different formats for the test data files:
+
+- Serialized protobuf TensorProtos (.pb), stored in folders with the naming convention `test_data_set_*`.
+
+```python
+import numpy as np
+import onnx
+import os
+import glob
+import onnx_backend as backend
+
+from onnx import numpy_helper
+
+model = onnx.load('model.onnx')
+test_data_dir = 'test_data_set_0'
+
+# Load inputs
+inputs = []
+inputs_num = len(glob.glob(os.path.join(test_data_dir, 'input_*.pb')))
+for i in range(inputs_num):
+    input_file = os.path.join(test_data_dir, 'input_{}.pb'.format(i))
+    tensor = onnx.TensorProto()
+    with open(input_file, 'rb') as f:
+        tensor.ParseFromString(f.read())
+    inputs.append(numpy_helper.to_array(tensor))
+
+# Load reference outputs
+ref_outputs = []
+ref_outputs_num = len(glob.glob(os.path.join(test_data_dir, 'output_*.pb')))
+for i in range(ref_outputs_num):
+    output_file = os.path.join(test_data_dir, 'output_{}.pb'.format(i))
+    tensor = onnx.TensorProto()
+    with open(output_file, 'rb') as f:
+        tensor.ParseFromString(f.read())
+    ref_outputs.append(numpy_helper.to_array(tensor))
+
+# Run the model on the backend
+outputs = list(backend.run_model(model, inputs))
+
+# Compare the results with reference outputs.
+for ref_o, o in zip(ref_outputs, outputs):
+    np.testing.assert_almost_equal(ref_o, o)
+```
+
+- Serialized Numpy archives, stored in files with the naming convention `test_data_*.npz`. Each file contains one set of test inputs and outputs.
+
+```python
+import numpy as np
+import onnx
+import onnx_backend as backend
+
+# Load the model and sample inputs and outputs
+model = onnx.load(model_pb_path)
+sample = np.load(npz_path, encoding='bytes')
+inputs = list(sample['inputs'])
+outputs = list(sample['outputs'])
+
+# Run the model with an onnx backend and verify the results
+np.testing.assert_almost_equal(outputs, backend.run_model(model, inputs))
+```
+
+### Usage - Model quantization
+You can get quantized ONNX models by using [Intel® Neural Compressor](https://github.com/intel/neural-compressor). It provides web-based UI service to make quantization easier and supports code-based usage for more abundant quantization settings. Refer to [bench document](https://github.com/intel/neural-compressor/blob/master/docs/bench.md) for how to use web-based UI service and [example document](./resource/docs/INC_code.md) for a simple code-based demo.
+![image](./resource/images/INC_GUI.gif)
+
+### Usage - Git LFS <a name="gitlfs-"/>
+
+On default, cloning this repository will not download any ONNX models. Install Git LFS with `pip install git-lfs`.
+
+To download a specific model:
+`git lfs pull --include="[path to model].onnx" --exclude=""`
+
+To download all models:
+`git lfs pull --include="*" --exclude=""`
+
+### Usage - Model visualization
+You can see visualizations of each model's network architecture by using [Netron](https://github.com/lutzroeder/Netron).
+
+## Contributions
+Do you want to contribute a model? To get started, pick any model presented above with the [contribute](contribute.md) link under the Description column. The links point to a page containing guidelines for making a contribution.
+
+# License
+
+[Apache License v2.0](LICENSE)
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diff --git a/vision/style_transfer/fast_neural_style/model/pointilism-8.tar.gz b/archive/vision/style_transfer/fast_neural_style/model/pointilism-8.tar.gz
similarity index 100%
rename from vision/style_transfer/fast_neural_style/model/pointilism-8.tar.gz
rename to archive/vision/style_transfer/fast_neural_style/model/pointilism-8.tar.gz
diff --git a/vision/style_transfer/fast_neural_style/model/pointilism-9.onnx b/archive/vision/style_transfer/fast_neural_style/model/pointilism-9.onnx
similarity index 100%
rename from vision/style_transfer/fast_neural_style/model/pointilism-9.onnx
rename to archive/vision/style_transfer/fast_neural_style/model/pointilism-9.onnx
diff --git a/vision/style_transfer/fast_neural_style/model/pointilism-9.tar.gz b/archive/vision/style_transfer/fast_neural_style/model/pointilism-9.tar.gz
similarity index 100%
rename from vision/style_transfer/fast_neural_style/model/pointilism-9.tar.gz
rename to archive/vision/style_transfer/fast_neural_style/model/pointilism-9.tar.gz
diff --git a/vision/style_transfer/fast_neural_style/model/rain-princess-8.onnx b/archive/vision/style_transfer/fast_neural_style/model/rain-princess-8.onnx
similarity index 100%
rename from vision/style_transfer/fast_neural_style/model/rain-princess-8.onnx
rename to archive/vision/style_transfer/fast_neural_style/model/rain-princess-8.onnx
diff --git a/vision/style_transfer/fast_neural_style/model/rain-princess-8.tar.gz b/archive/vision/style_transfer/fast_neural_style/model/rain-princess-8.tar.gz
similarity index 100%
rename from vision/style_transfer/fast_neural_style/model/rain-princess-8.tar.gz
rename to archive/vision/style_transfer/fast_neural_style/model/rain-princess-8.tar.gz
diff --git a/vision/style_transfer/fast_neural_style/model/rain-princess-9.onnx b/archive/vision/style_transfer/fast_neural_style/model/rain-princess-9.onnx
similarity index 100%
rename from vision/style_transfer/fast_neural_style/model/rain-princess-9.onnx
rename to archive/vision/style_transfer/fast_neural_style/model/rain-princess-9.onnx
diff --git a/vision/style_transfer/fast_neural_style/model/rain-princess-9.tar.gz b/archive/vision/style_transfer/fast_neural_style/model/rain-princess-9.tar.gz
similarity index 100%
rename from vision/style_transfer/fast_neural_style/model/rain-princess-9.tar.gz
rename to archive/vision/style_transfer/fast_neural_style/model/rain-princess-9.tar.gz
diff --git a/vision/style_transfer/fast_neural_style/model/udnie-8.onnx b/archive/vision/style_transfer/fast_neural_style/model/udnie-8.onnx
similarity index 100%
rename from vision/style_transfer/fast_neural_style/model/udnie-8.onnx
rename to archive/vision/style_transfer/fast_neural_style/model/udnie-8.onnx
diff --git a/vision/style_transfer/fast_neural_style/model/udnie-8.tar.gz b/archive/vision/style_transfer/fast_neural_style/model/udnie-8.tar.gz
similarity index 100%
rename from vision/style_transfer/fast_neural_style/model/udnie-8.tar.gz
rename to archive/vision/style_transfer/fast_neural_style/model/udnie-8.tar.gz
diff --git a/vision/style_transfer/fast_neural_style/model/udnie-9.onnx b/archive/vision/style_transfer/fast_neural_style/model/udnie-9.onnx
similarity index 100%
rename from vision/style_transfer/fast_neural_style/model/udnie-9.onnx
rename to archive/vision/style_transfer/fast_neural_style/model/udnie-9.onnx
diff --git a/vision/style_transfer/fast_neural_style/model/udnie-9.tar.gz b/archive/vision/style_transfer/fast_neural_style/model/udnie-9.tar.gz
similarity index 100%
rename from vision/style_transfer/fast_neural_style/model/udnie-9.tar.gz
rename to archive/vision/style_transfer/fast_neural_style/model/udnie-9.tar.gz
diff --git a/vision/super_resolution/sub_pixel_cnn_2016/README.md b/archive/vision/super_resolution/sub_pixel_cnn_2016/README.md
similarity index 100%
rename from vision/super_resolution/sub_pixel_cnn_2016/README.md
rename to archive/vision/super_resolution/sub_pixel_cnn_2016/README.md
diff --git a/vision/super_resolution/sub_pixel_cnn_2016/dependencies/Run_Super_Resolution_Model.ipynb b/archive/vision/super_resolution/sub_pixel_cnn_2016/dependencies/Run_Super_Resolution_Model.ipynb
similarity index 100%
rename from vision/super_resolution/sub_pixel_cnn_2016/dependencies/Run_Super_Resolution_Model.ipynb
rename to archive/vision/super_resolution/sub_pixel_cnn_2016/dependencies/Run_Super_Resolution_Model.ipynb
diff --git a/vision/super_resolution/sub_pixel_cnn_2016/model/super-resolution-10.onnx b/archive/vision/super_resolution/sub_pixel_cnn_2016/model/super-resolution-10.onnx
similarity index 100%
rename from vision/super_resolution/sub_pixel_cnn_2016/model/super-resolution-10.onnx
rename to archive/vision/super_resolution/sub_pixel_cnn_2016/model/super-resolution-10.onnx
diff --git a/vision/super_resolution/sub_pixel_cnn_2016/model/super-resolution-10.tar.gz b/archive/vision/super_resolution/sub_pixel_cnn_2016/model/super-resolution-10.tar.gz
similarity index 100%
rename from vision/super_resolution/sub_pixel_cnn_2016/model/super-resolution-10.tar.gz
rename to archive/vision/super_resolution/sub_pixel_cnn_2016/model/super-resolution-10.tar.gz
diff --git a/workflow_scripts/check_model.py b/archive/workflow_scripts/check_model.py
similarity index 100%
rename from workflow_scripts/check_model.py
rename to archive/workflow_scripts/check_model.py
diff --git a/workflow_scripts/generate_onnx_hub_manifest.py b/archive/workflow_scripts/generate_onnx_hub_manifest.py
similarity index 97%
rename from workflow_scripts/generate_onnx_hub_manifest.py
rename to archive/workflow_scripts/generate_onnx_hub_manifest.py
index 4e3dff8cb..9b4ad9d6e 100644
--- a/workflow_scripts/generate_onnx_hub_manifest.py
+++ b/archive/workflow_scripts/generate_onnx_hub_manifest.py
@@ -1,306 +1,306 @@
-# SPDX-License-Identifier: Apache-2.0
-
-import hashlib
-import json
-import os
-import re
-import bs4
-import markdown
-import pandas as pd
-import typepy
-from os.path import join, split
-import onnxruntime as ort
-from onnxruntime.capi.onnxruntime_pybind11_state import NotImplemented
-import onnx
-from onnx import shape_inference
-import argparse
-from test_models import get_changed_models
-from test_utils import pull_lfs_file
-
-
-# Acknowledgments to pytablereader codebase for this function
-def parse_html(table):
-    headers = []
-    data_matrix = []
-    rows = table.find_all("tr")
-    re_table_val = re.compile("td|th")
-    for row in rows:
-        td_list = row.find_all("td")
-        if typepy.is_empty_sequence(td_list):
-            if typepy.is_not_empty_sequence(headers):
-                continue
-            th_list = row.find_all("th")
-            if typepy.is_empty_sequence(th_list):
-                continue
-            headers = [row.text.strip() for row in th_list]
-            continue
-        data_matrix.append(list(row.find_all(re_table_val)))
-
-    if typepy.is_empty_sequence(data_matrix):
-        raise ValueError("data matrix is empty")
-
-    return pd.DataFrame(data_matrix, columns=headers)
-
-
-def parse_readme(filename):
-    with open(filename, "r", encoding="utf8") as f:
-        parsed = markdown.markdown(f.read(), extensions=["markdown.extensions.tables"])
-        soup = bs4.BeautifulSoup(parsed, "html.parser")
-        return [parse_html(table) for table in soup.find_all("table")]
-
-
-top_level_readme = "README.md"
-top_level_tables = parse_readme(top_level_readme)
-markdown_files = set()
-for top_level_table in top_level_tables:
-    for i, row in top_level_table.iterrows():
-        if "Model Class" in row:
-            try:
-                markdown_files.add(join(row["Model Class"].contents[0].contents[0].attrs['href'], "README.md"))
-            except AttributeError:
-                print("{} has no link to implementation".format(row["Model Class"].contents[0]))
-# Sort for reproducibility
-markdown_files = sorted(list(markdown_files))
-
-all_tables = []
-for markdown_file in markdown_files:
-    with open(markdown_file, "r") as f:
-        parsed_readme = parse_readme(markdown_file)
-        if not parsed_readme:
-            print(f"{markdown_file} needs to be updated to include a table.")
-            continue
-        for parsed in parsed_readme:
-            parsed = parsed.rename(columns={"Opset Version": "Opset version"})
-            if all(col in parsed.columns.values for col in ["Model", "Download", "Opset version", "ONNX version"]):
-                parsed["source_file"] = markdown_file
-                all_tables.append(parsed)
-            else:
-                print("Unrecognized table columns in file {}: {}".format(markdown_file, parsed.columns.values))
-
-df = pd.concat(all_tables, axis=0)
-normalize_name = {
-    "Download": "model_path",
-    "Download (with sample test data)": "model_with_data_path",
-}
-
-top_level_fields = ["model", "model_path", "opset_version", "onnx_version"]
-
-
-def prep_name(col):
-    if col in normalize_name:
-        col = normalize_name[col]
-    col = col.rstrip()
-    prepped_col = col.replace(" ", "_").lower()
-    if prepped_col in top_level_fields:
-        return prepped_col
-    else:
-        return col
-
-
-renamed = df.rename(columns={col: prep_name(col) for col in df.columns.values})
-metadata_fields = [f for f in renamed.columns.values if f not in top_level_fields]
-
-
-def get_file_info(row, field, target_models=None):
-    source_dir = split(row["source_file"])[0]
-    model_file = row[field].contents[0].attrs["href"]
-    # So that model relative path is consistent across OS
-    rel_path = "/".join(join(source_dir, model_file).split(os.sep))
-    if target_models is not None and rel_path not in target_models:
-        return None
-    # git-lfs pull if target .onnx or .tar.gz does not exist
-    pull_lfs_file(rel_path)
-    pull_lfs_file(rel_path.replace(".onnx", ".tar.gz"))
-    with open(rel_path, "rb") as f:
-        bytes = f.read()
-        sha256 = hashlib.sha256(bytes).hexdigest()
-    return {
-        field: rel_path,
-        field.replace("_path", "") + "_sha": sha256,
-        field.replace("_path", "") + "_bytes": len(bytes),
-    }
-
-
-def get_model_tags(row):
-    source_dir = split(row["source_file"])[0]
-    raw_tags = source_dir.split("/")
-    tags = [tag.replace("_", " ") for tag in raw_tags]
-    model_file = row['model_path'].contents[0].attrs["href"]
-    if 'preproc' in model_file.split("/"):
-        tags.append('preprocessing')
-    return tags
-
-
-def get_model_ports(source_file, metadata, model_name):
-    model_path = source_file
-    try:
-        # Hide graph warnings. Severity 3 means error and above.
-        ort.set_default_logger_severity(3)
-        # Start from ORT 1.10, ORT requires explicitly setting the providers parameter
-        # if you want to use execution providers
-        # other than the default CPU provider (as opposed to the previous behavior of
-        # providers getting set/registered by default
-        # based on the build flags) when instantiating InferenceSession.
-        # For example, if NVIDIA GPU is available and ORT Python package is built with CUDA, then call API as following:
-        # ort.InferenceSession(path/to/model, providers=['CUDAExecutionProvider'])
-        session = ort.InferenceSession(model_path)
-        inputs = session.get_inputs()
-        outputs = session.get_outputs()
-        io_ports = {
-            "inputs": [{"name": input.name, "shape": input.shape, "type": input.type} for input in inputs],
-            "outputs": [{"name": output.name, "shape": output.shape, "type": output.type} for output in outputs],
-        }
-
-        extra_ports = None
-        if "classification" in metadata["tags"]:
-            inferred_model = shape_inference.infer_shapes(onnx.load(model_path))
-            nodes = list(inferred_model.graph.value_info)
-            if model_name in feature_tensor_names:
-                node_name = feature_tensor_names[model_name]
-                node = [n for n in nodes if n.name == node_name][0]
-                shape = [d.dim_value for d in list(node.type.tensor_type.shape.dim)]
-                extra_ports = {"features": [
-                    {"name": node.name, "shape": shape}
-                ]}
-
-        return io_ports, extra_ports
-
-    except NotImplemented:
-        print(
-            'Failed to load model from {}. Run `git lfs pull --include="{}" --exclude=""` '
-            'to download the model payload first.'.format(
-                model_path, source_file
-            )
-        )
-        return None, None
-
-
-feature_tensor_names = {
-    'AlexNet': 'fc7_1',
-    'CaffeNet': 'fc7_1',
-    'DenseNet-121': 'pool5_1',
-    'EfficientNet-Lite4': 'efficientnet-lite4/model/head/AvgPool:0',
-    'GoogleNet': 'pool5/7x7_s1_2',
-    'Inception-1': 'pool5/7x7_s1_2',
-    'Inception-2': 'pool5/7x7_s1_1',
-    'MobileNet v2-1.0': '464',
-    'R-CNN ILSVRC13': 'fc7_1',
-    'ResNet18': 'resnetv15_pool1_fwd',
-    'ResNet34': 'resnetv16_pool1_fwd',
-    'ResNet50': 'resnetv17_pool1_fwd',
-    'ResNet101': 'resnetv18_pool1_fwd',
-    'ResNet152': 'resnetv19_pool1_fwd',
-    'ResNet50_fp32': 'resnetv17_pool1_fwd',
-    'ResNet50_int8': 'flatten_473_quantized',
-    'ResNet50-caffe2': 'gpu_0/pool5_1',
-    'ResNet18-v2': 'resnetv22_pool1_fwd',
-    'ResNet34-v2': 'resnetv23_pool1_fwd',
-    'ResNet50-v2': 'resnetv24_pool1_fwd',
-    'ResNet101-v2': 'resnetv25_pool1_fwd',
-    'ResNet152-v2': 'resnetv27_pool1_fwd',
-    'ShuffleNet-v1': 'gpu_0/final_avg_1',
-    'ShuffleNet-v2': '611',
-    'ShuffleNet-v2-fp32': '611',
-    'ShuffleNet-v2-int8': '611',
-    'SqueezeNet 1.1': 'squeezenet0_pool3_fwd',
-    'SqueezeNet 1.0': 'pool10_1',
-    'VGG 16': "flatten_70",
-    'VGG 16-bn': "flatten_135",
-    'VGG 19': "flatten_82",
-    'VGG 19-bn': "flatten_162",
-    'VGG 16-int8': "flatten_70_quantized",
-    'VGG 19-caffe2': "fc7_3",
-    'ZFNet-512': 'gpu_0/fc7_2'
-}
-
-parser = argparse.ArgumentParser(description="Test settings")
-# default all: test by both onnx and onnxruntime
-# if target is specified, only test by the specified one
-parser.add_argument("--target", required=False, default="all", type=str,
-                    help="Update target? (all, diff, single)",
-                    choices=["all", "diff", "single"])
-parser.add_argument("--path", required=False, default=None, type=str,
-                    help="The model path which you want to update. e.g., vision/classification/resnet/model/resnet50.onnx")
-parser.add_argument("--drop", required=False, default=False, action="store_true",
-                    help="Drop downloaded models after verification. (For space limitation in CIs)")
-args = parser.parse_args()
-
-
-output = []
-if args.target == "diff":
-    changed_models = set()
-    changed_list = get_changed_models()
-    for file in changed_list:
-        # If the .tar.gz was updated, the model's manifest needs to be updated as well
-        if ".tar.gz" in file:
-            file = file.replace(".tar.gz", ".onnx")
-        changed_models.add(file)
-    print(f"{len(changed_models)} of changed models: {changed_models}")
-if args.target == "diff" or args.target == "single":
-    with open("ONNX_HUB_MANIFEST.json", "r+") as f:
-        output = json.load(f)
-    path_to_object = {}
-    for model in output:
-        path_to_object[model["model_path"]] = model
-
-for i, row in renamed.iterrows():
-    if len(row["model"].contents) > 0 and len(row["model_path"].contents) > 0:
-        model_name = row["model"].contents[0]
-        target_models = None
-        if args.target == "diff":
-            target_models = changed_models
-        elif args.target == "single":
-            if args.path is None:
-                raise ValueError("Please specify --path if you want to update by single model.")
-            target_models = set([args.path.replace("\\", "/")])
-        model_info = get_file_info(row, "model_path", target_models)
-        if model_info is None:
-            continue
-        model_path = model_info.pop("model_path")
-        metadata = model_info
-        metadata["tags"] = get_model_tags(row)
-        io_ports, extra_ports = get_model_ports(model_path, metadata, model_name)
-        if io_ports is not None:
-            metadata["io_ports"] = io_ports
-        if extra_ports is not None:
-            metadata["extra_ports"] = extra_ports
-
-        try:
-            for k, v in get_file_info(row, "model_with_data_path").items():
-                metadata[k] = v
-        except (AttributeError, FileNotFoundError) as e:
-            print(f"no model_with_data in file {row['source_file']}: {e}")
-
-        try:
-            opset = int(row["opset_version"].contents[0])
-        except ValueError:
-            print("malformed opset {} in {}".format(row["opset_version"].contents[0], row["source_file"]))
-            continue
-        if args.target != "all":
-            if model_path in path_to_object:
-                # To update existing information, remove previous one
-                output.remove(path_to_object[model_path])
-                print(f"Updating: {model_path}")
-        output.append(
-            {
-                "model": model_name,
-                "model_path": model_path,
-                "onnx_version": row["onnx_version"].contents[0],
-                "opset_version": int(row["opset_version"].contents[0]),
-                "metadata": metadata
-            }
-        )
-        if args.drop:
-            if os.path.exists(model_path):
-                os.remove(model_path)
-            tar_path = model_path.replace(".onnx", ".tar.gz")
-            if os.path.exists(tar_path):
-                os.remove(tar_path)
-
-    else:
-        print("Missing model in {}".format(row["source_file"]))
-output.sort(key=lambda x: x["model_path"])
-
-with open("ONNX_HUB_MANIFEST.json", "w+") as f:
-    print("Found {} models".format(len(output)))
-    json.dump(output, f, indent=4)
+# SPDX-License-Identifier: Apache-2.0
+
+import hashlib
+import json
+import os
+import re
+import bs4
+import markdown
+import pandas as pd
+import typepy
+from os.path import join, split
+import onnxruntime as ort
+from onnxruntime.capi.onnxruntime_pybind11_state import NotImplemented
+import onnx
+from onnx import shape_inference
+import argparse
+from test_models import get_changed_models
+from test_utils import pull_lfs_file
+
+
+# Acknowledgments to pytablereader codebase for this function
+def parse_html(table):
+    headers = []
+    data_matrix = []
+    rows = table.find_all("tr")
+    re_table_val = re.compile("td|th")
+    for row in rows:
+        td_list = row.find_all("td")
+        if typepy.is_empty_sequence(td_list):
+            if typepy.is_not_empty_sequence(headers):
+                continue
+            th_list = row.find_all("th")
+            if typepy.is_empty_sequence(th_list):
+                continue
+            headers = [row.text.strip() for row in th_list]
+            continue
+        data_matrix.append(list(row.find_all(re_table_val)))
+
+    if typepy.is_empty_sequence(data_matrix):
+        raise ValueError("data matrix is empty")
+
+    return pd.DataFrame(data_matrix, columns=headers)
+
+
+def parse_readme(filename):
+    with open(filename, "r", encoding="utf8") as f:
+        parsed = markdown.markdown(f.read(), extensions=["markdown.extensions.tables"])
+        soup = bs4.BeautifulSoup(parsed, "html.parser")
+        return [parse_html(table) for table in soup.find_all("table")]
+
+
+top_level_readme = "README.md"
+top_level_tables = parse_readme(top_level_readme)
+markdown_files = set()
+for top_level_table in top_level_tables:
+    for i, row in top_level_table.iterrows():
+        if "Model Class" in row:
+            try:
+                markdown_files.add(join(row["Model Class"].contents[0].contents[0].attrs['href'], "README.md"))
+            except AttributeError:
+                print("{} has no link to implementation".format(row["Model Class"].contents[0]))
+# Sort for reproducibility
+markdown_files = sorted(list(markdown_files))
+
+all_tables = []
+for markdown_file in markdown_files:
+    with open(markdown_file, "r") as f:
+        parsed_readme = parse_readme(markdown_file)
+        if not parsed_readme:
+            print(f"{markdown_file} needs to be updated to include a table.")
+            continue
+        for parsed in parsed_readme:
+            parsed = parsed.rename(columns={"Opset Version": "Opset version"})
+            if all(col in parsed.columns.values for col in ["Model", "Download", "Opset version", "ONNX version"]):
+                parsed["source_file"] = markdown_file
+                all_tables.append(parsed)
+            else:
+                print("Unrecognized table columns in file {}: {}".format(markdown_file, parsed.columns.values))
+
+df = pd.concat(all_tables, axis=0)
+normalize_name = {
+    "Download": "model_path",
+    "Download (with sample test data)": "model_with_data_path",
+}
+
+top_level_fields = ["model", "model_path", "opset_version", "onnx_version"]
+
+
+def prep_name(col):
+    if col in normalize_name:
+        col = normalize_name[col]
+    col = col.rstrip()
+    prepped_col = col.replace(" ", "_").lower()
+    if prepped_col in top_level_fields:
+        return prepped_col
+    else:
+        return col
+
+
+renamed = df.rename(columns={col: prep_name(col) for col in df.columns.values})
+metadata_fields = [f for f in renamed.columns.values if f not in top_level_fields]
+
+
+def get_file_info(row, field, target_models=None):
+    source_dir = split(row["source_file"])[0]
+    model_file = row[field].contents[0].attrs["href"]
+    # So that model relative path is consistent across OS
+    rel_path = "/".join(join(source_dir, model_file).split(os.sep))
+    if target_models is not None and rel_path not in target_models:
+        return None
+    # git-lfs pull if target .onnx or .tar.gz does not exist
+    pull_lfs_file(rel_path)
+    pull_lfs_file(rel_path.replace(".onnx", ".tar.gz"))
+    with open(rel_path, "rb") as f:
+        bytes = f.read()
+        sha256 = hashlib.sha256(bytes).hexdigest()
+    return {
+        field: rel_path,
+        field.replace("_path", "") + "_sha": sha256,
+        field.replace("_path", "") + "_bytes": len(bytes),
+    }
+
+
+def get_model_tags(row):
+    source_dir = split(row["source_file"])[0]
+    raw_tags = source_dir.split("/")
+    tags = [tag.replace("_", " ") for tag in raw_tags]
+    model_file = row['model_path'].contents[0].attrs["href"]
+    if 'preproc' in model_file.split("/"):
+        tags.append('preprocessing')
+    return tags
+
+
+def get_model_ports(source_file, metadata, model_name):
+    model_path = source_file
+    try:
+        # Hide graph warnings. Severity 3 means error and above.
+        ort.set_default_logger_severity(3)
+        # Start from ORT 1.10, ORT requires explicitly setting the providers parameter
+        # if you want to use execution providers
+        # other than the default CPU provider (as opposed to the previous behavior of
+        # providers getting set/registered by default
+        # based on the build flags) when instantiating InferenceSession.
+        # For example, if NVIDIA GPU is available and ORT Python package is built with CUDA, then call API as following:
+        # ort.InferenceSession(path/to/model, providers=['CUDAExecutionProvider'])
+        session = ort.InferenceSession(model_path)
+        inputs = session.get_inputs()
+        outputs = session.get_outputs()
+        io_ports = {
+            "inputs": [{"name": input.name, "shape": input.shape, "type": input.type} for input in inputs],
+            "outputs": [{"name": output.name, "shape": output.shape, "type": output.type} for output in outputs],
+        }
+
+        extra_ports = None
+        if "classification" in metadata["tags"]:
+            inferred_model = shape_inference.infer_shapes(onnx.load(model_path))
+            nodes = list(inferred_model.graph.value_info)
+            if model_name in feature_tensor_names:
+                node_name = feature_tensor_names[model_name]
+                node = [n for n in nodes if n.name == node_name][0]
+                shape = [d.dim_value for d in list(node.type.tensor_type.shape.dim)]
+                extra_ports = {"features": [
+                    {"name": node.name, "shape": shape}
+                ]}
+
+        return io_ports, extra_ports
+
+    except NotImplemented:
+        print(
+            'Failed to load model from {}. Run `git lfs pull --include="{}" --exclude=""` '
+            'to download the model payload first.'.format(
+                model_path, source_file
+            )
+        )
+        return None, None
+
+
+feature_tensor_names = {
+    'AlexNet': 'fc7_1',
+    'CaffeNet': 'fc7_1',
+    'DenseNet-121': 'pool5_1',
+    'EfficientNet-Lite4': 'efficientnet-lite4/model/head/AvgPool:0',
+    'GoogleNet': 'pool5/7x7_s1_2',
+    'Inception-1': 'pool5/7x7_s1_2',
+    'Inception-2': 'pool5/7x7_s1_1',
+    'MobileNet v2-1.0': '464',
+    'R-CNN ILSVRC13': 'fc7_1',
+    'ResNet18': 'resnetv15_pool1_fwd',
+    'ResNet34': 'resnetv16_pool1_fwd',
+    'ResNet50': 'resnetv17_pool1_fwd',
+    'ResNet101': 'resnetv18_pool1_fwd',
+    'ResNet152': 'resnetv19_pool1_fwd',
+    'ResNet50_fp32': 'resnetv17_pool1_fwd',
+    'ResNet50_int8': 'flatten_473_quantized',
+    'ResNet50-caffe2': 'gpu_0/pool5_1',
+    'ResNet18-v2': 'resnetv22_pool1_fwd',
+    'ResNet34-v2': 'resnetv23_pool1_fwd',
+    'ResNet50-v2': 'resnetv24_pool1_fwd',
+    'ResNet101-v2': 'resnetv25_pool1_fwd',
+    'ResNet152-v2': 'resnetv27_pool1_fwd',
+    'ShuffleNet-v1': 'gpu_0/final_avg_1',
+    'ShuffleNet-v2': '611',
+    'ShuffleNet-v2-fp32': '611',
+    'ShuffleNet-v2-int8': '611',
+    'SqueezeNet 1.1': 'squeezenet0_pool3_fwd',
+    'SqueezeNet 1.0': 'pool10_1',
+    'VGG 16': "flatten_70",
+    'VGG 16-bn': "flatten_135",
+    'VGG 19': "flatten_82",
+    'VGG 19-bn': "flatten_162",
+    'VGG 16-int8': "flatten_70_quantized",
+    'VGG 19-caffe2': "fc7_3",
+    'ZFNet-512': 'gpu_0/fc7_2'
+}
+
+parser = argparse.ArgumentParser(description="Test settings")
+# default all: test by both onnx and onnxruntime
+# if target is specified, only test by the specified one
+parser.add_argument("--target", required=False, default="all", type=str,
+                    help="Update target? (all, diff, single)",
+                    choices=["all", "diff", "single"])
+parser.add_argument("--path", required=False, default=None, type=str,
+                    help="The model path which you want to update. e.g., vision/classification/resnet/model/resnet50.onnx")
+parser.add_argument("--drop", required=False, default=False, action="store_true",
+                    help="Drop downloaded models after verification. (For space limitation in CIs)")
+args = parser.parse_args()
+
+
+output = []
+if args.target == "diff":
+    changed_models = set()
+    changed_list = get_changed_models()
+    for file in changed_list:
+        # If the .tar.gz was updated, the model's manifest needs to be updated as well
+        if ".tar.gz" in file:
+            file = file.replace(".tar.gz", ".onnx")
+        changed_models.add(file)
+    print(f"{len(changed_models)} of changed models: {changed_models}")
+if args.target == "diff" or args.target == "single":
+    with open("ONNX_HUB_MANIFEST.json", "r+") as f:
+        output = json.load(f)
+    path_to_object = {}
+    for model in output:
+        path_to_object[model["model_path"]] = model
+
+for i, row in renamed.iterrows():
+    if len(row["model"].contents) > 0 and len(row["model_path"].contents) > 0:
+        model_name = row["model"].contents[0]
+        target_models = None
+        if args.target == "diff":
+            target_models = changed_models
+        elif args.target == "single":
+            if args.path is None:
+                raise ValueError("Please specify --path if you want to update by single model.")
+            target_models = set([args.path.replace("\\", "/")])
+        model_info = get_file_info(row, "model_path", target_models)
+        if model_info is None:
+            continue
+        model_path = model_info.pop("model_path")
+        metadata = model_info
+        metadata["tags"] = get_model_tags(row)
+        io_ports, extra_ports = get_model_ports(model_path, metadata, model_name)
+        if io_ports is not None:
+            metadata["io_ports"] = io_ports
+        if extra_ports is not None:
+            metadata["extra_ports"] = extra_ports
+
+        try:
+            for k, v in get_file_info(row, "model_with_data_path").items():
+                metadata[k] = v
+        except (AttributeError, FileNotFoundError) as e:
+            print(f"no model_with_data in file {row['source_file']}: {e}")
+
+        try:
+            opset = int(row["opset_version"].contents[0])
+        except ValueError:
+            print("malformed opset {} in {}".format(row["opset_version"].contents[0], row["source_file"]))
+            continue
+        if args.target != "all":
+            if model_path in path_to_object:
+                # To update existing information, remove previous one
+                output.remove(path_to_object[model_path])
+                print(f"Updating: {model_path}")
+        output.append(
+            {
+                "model": model_name,
+                "model_path": model_path,
+                "onnx_version": row["onnx_version"].contents[0],
+                "opset_version": int(row["opset_version"].contents[0]),
+                "metadata": metadata
+            }
+        )
+        if args.drop:
+            if os.path.exists(model_path):
+                os.remove(model_path)
+            tar_path = model_path.replace(".onnx", ".tar.gz")
+            if os.path.exists(tar_path):
+                os.remove(tar_path)
+
+    else:
+        print("Missing model in {}".format(row["source_file"]))
+output.sort(key=lambda x: x["model_path"])
+
+with open("ONNX_HUB_MANIFEST.json", "w+") as f:
+    print("Found {} models".format(len(output)))
+    json.dump(output, f, indent=4)
diff --git a/workflow_scripts/onnx_test_data_utils.py b/archive/workflow_scripts/onnx_test_data_utils.py
similarity index 100%
rename from workflow_scripts/onnx_test_data_utils.py
rename to archive/workflow_scripts/onnx_test_data_utils.py
diff --git a/workflow_scripts/ort_test_dir_utils.py b/archive/workflow_scripts/ort_test_dir_utils.py
similarity index 100%
rename from workflow_scripts/ort_test_dir_utils.py
rename to archive/workflow_scripts/ort_test_dir_utils.py
diff --git a/workflow_scripts/test_models.py b/archive/workflow_scripts/test_models.py
similarity index 100%
rename from workflow_scripts/test_models.py
rename to archive/workflow_scripts/test_models.py
diff --git a/workflow_scripts/test_utils.py b/archive/workflow_scripts/test_utils.py
similarity index 100%
rename from workflow_scripts/test_utils.py
rename to archive/workflow_scripts/test_utils.py
diff --git a/contribute.md b/contribute.md
index 19cb562ec..2d7da7846 100644
--- a/contribute.md
+++ b/contribute.md
@@ -1,7 +1,72 @@
 <!--- SPDX-License-Identifier: Apache-2.0 -->
 
-# How to Contribute to the Model Zoo
+# Contribution Guide for the ONNX Model Zoo
 
-To contribute a new model, create a [pull request](https://github.com/onnx/models/pull/new/). A pre-defined pull request [template](.github/PULL_REQUEST_TEMPLATE.md) is loaded when creating a new pull request, which describes all the artifacts required for making the contribution.
+## Introduction
 
-View an [example submission](vision/classification/resnet/README.md) to get a sense of the final output.
+We're excited that you're interested in contributing to the ONNX Model Zoo! This guide is intended to help you understand how you can contribute to the project and what standards we expect contributors to follow.
+
+## Ways to Contribute
+
+There are many ways you can contribute to the ONNX Model Zoo:
+
+- **Model Contributions**: You can contribute new models to the Model Zoo.
+
+- **Documentation**: Improvements to documentation, whether it's enhancing existing documentation or creating new content, are always welcome.
+
+- **Issues and Bugs**: Report issues or bugs you find when using the models or the repository itself.
+
+- **Features and Enhancements**: Suggest new features or enhancements to existing models or the overall repository infrastructure.
+
+## Contribution Process
+
+1. **Check Existing Issues/PRs**: Before starting your work or submitting a contribution, please check the repository for existing issues or pull requests that might be related to your contribution to avoid duplication of efforts.
+
+2. **Open an Issue**: If you are adding a new feature or model, start by opening a new issue to discuss with the community. For bugs, document how to reproduce the error.
+
+3. **Fork the Repository**: Make a fork of this repository to your GitHub account.
+
+4. **Make Your Changes**: Work on the changes on your forked repository. 
+    
+    For contributing a model refer to [Model contribution guidelines](#model-contribution-guidelines)
+
+5. **Commit Messages**: Use clear and descriptive commit messages. This helps to understand the purpose of your changes and speed up the review process.
+
+6. **Pull Request**: Once you've made your changes, submit a pull request (PR) to the main repository. Provide a detailed description of the changes and reference the corresponding issue number in the PR.
+
+7. **Code Review**: Wait for the maintainers to review your PR. Be responsive to feedback and make necessary changes if requested.
+
+8. **Merge**: Once your PR is approved by a maintainer, it will be merged into the repository.
+
+## Model Contribution Guidelines
+
+Contributing to the ONNX Model Zoo involves a structured process that requires submitting Pull Requests (PRs) to two distinct repositories: [TurnkeyML](https://github.com/onnx/turnkeyml) and the [ONNX Model Zoo](https://github.com/onnx/models). We kindly ask you to adhere to the outlined steps to ensure a smooth and efficient contribution process. Please note that we are actively working on refining this procedure to enhance efficiency and ease of use.
+
+1. **Model Uniqueness**: Before submission, please search the Model Zoo to confirm that your model or an equivalent model is not already hosted.
+
+1. **Model Source**: You should provide the source file for the model (.py format).
+
+    Place the source file under [turnkeyml/models](https://github.com/onnx/turnkeyml/tree/main/models) and place the onnx file under the appropriate task category in the [onnx model zoo repo root](https://github.com/onnx/models). All pretrained models should include valid weights.
+
+    The source file must include the following labels at the top of the file:
+        
+        - Author - Name of the organization or the creator of the model
+        - Task - For example, Computer Vision, Natural Language Processing (NLP), Audio Processing, MultiModal, Generative AI ,Graph Machine Learning ...
+        - License: Submissions should be under one of the following licenses: Apache-2.0, BSD-3, or MIT.
+        
+    For the correct format of these labels, please refer to the example [here](https://github.com/onnx/turnkeyml/blob/main/models/timm/resnet18.py)
+
+1. **Dependencies**: Add any additional requirements run your model to [turnkeyml model requirements](https://github.com/onnx/turnkeyml/blob/main/models/requirements.txt) file.
+
+1. **Large Files**: If your model includes large weight files, manage them with Git LFS.
+
+1. **ONNX file creation**: Use TurnkeyML's [--build-only](https://github.com/onnx/turnkeyml/blob/main/examples/cli/build.md?plain=1#L17)  option to generate the ONNX model. This ensures that the model conforms to standards compatible with the Model Zoo's infrastructure.
+
+
+By following these guidelines, you help us maintain a high standard for the models in the ONNX Model Zoo, making it a valuable resource for everyone. We appreciate your contributions and look forward to including your models in our collection.
+
+## Questions?
+
+If you have any questions or need further clarification about contributing, please don't hesitate to open an issue.
+
+Thank you for contributing to the ONNX Model Zoo!
diff --git a/resource/docs/INC_code.md b/resource/docs/INC_code.md
deleted file mode 100644
index c1c2878ac..000000000
--- a/resource/docs/INC_code.md
+++ /dev/null
@@ -1,68 +0,0 @@
-### Intel® Neural Compressor Code-based Demo
-
-This is an example showing how to quantize an ONNX model with [Intel® Neural Compressor](https://github.com/intel/neural-compressor) step by step:
-
-- Config file
-
-```yaml
-model:
-  name: alexnet
-  framework: onnxrt_qlinearops
-
-quantization:
-  approach: post_training_static_quant
-
-evaluation:
-  accuracy:
-    metric:
-      topk: 1
-
-tuning:
-  accuracy_criterion:
-    relative: 0.01 # accuracy target
-```
-
-- Launcher code
-
-```python
-import numpy as np
-import re
-import os
-from PIL import Image
-
-# extract dataset class from inference code
-class dataset:
-    def __init__(self, data_path, image_list):
-        self.image_list = []
-        self.label_list = []
-        with open(image_list, 'r') as f:
-            for s in f:
-                image_name, label = re.split(r"\s+", s.strip())
-                src = os.path.join(data_path, image_name)
-                if not os.path.exists(src):
-                    continue
-                self.image_list.append(src)
-                self.label_list.append(int(label))
-
-    def __len__(self):
-        return len(self.image_list)
-
-    def __getitem__(self, index):
-        image_path, label = self.image_list[index], self.label_list[index]
-        with Image.open(image_path) as image:
-            image = np.array(image.convert('RGB').resize((224, 224))).astype(np.float32)
-            image[:, :, 0] -= 123.68
-            image[:, :, 1] -= 116.779
-            image[:, :, 2] -= 103.939
-            image[:,:,[0,1,2]] = image[:,:,[2,1,0]]
-            image = image.transpose((2, 0, 1))
-        return image, label
-
-from neural_compressor.experimental import Quantization, common
-ds = dataset('/path/to/imagenet', '/path/to/label')
-quantize = Quantization('/path/to/config_file')
-quantize.calib_dataloader = common.DataLoader(ds)
-quantize.model = model
-q_model = quantize()
-q_model.save("int8.onnx")
-```
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diff --git a/target.md b/target.md
deleted file mode 100644
index 5bce95992..000000000
--- a/target.md
+++ /dev/null
@@ -1,52 +0,0 @@
-<!--- SPDX-License-Identifier: Apache-2.0 -->
-
-# Target models
-Below is a list of models that we would like to have in the model zoo in the near future. Please refer to the [contribution guidelines](contribute.md) to contribute a model.
-## CNN models
-
-|Model      | Reference |
-|-------------|:--------------|
-|   Gender Detection| [Age and Gender Classification using Convolutional Neural Networks](https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=7&ved=0ahUKEwjEzsev5pDaAhVI2GMKHZvjCjEQFgiLATAG&url=http%3A%2F%2Fciteseerx.ist.psu.edu%2Fviewdoc%2Fdownload%3Fdoi%3D10.1.1.722.9654%26rep%3Drep1%26type%3Dpdf&usg=AOvVaw0-c9n2_ZcsRCyc6BCb0Zdj)	|
-|		Single Shot Detector|	[SSD: Single Shot Multi Detector](https://arxiv.org/abs/1512.02325)	|
-|	Super Resolution|	[Image Super resolution using deep convolutional networks ](http://ieeexplore.ieee.org/document/7115171/?reload=true)	|
-|	Face Detection|[A Convolutional Neural Network Cascade for Face Detection ](https://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Li_A_Convolutional_Neural_2015_CVPR_paper.pdf)|
-|Face Detection|[ArcFace: Additive Angular Margin Loss for Deep Face Recognition](https://arxiv.org/abs/1801.07698)	 |
-|Semantic Segmentation|[Fully Convolutional Networks for Semantic Segmentation ](https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=5&ved=0ahUKEwiI9YjW5ZDaAhVW5mMKHYifAL4QFghUMAQ&url=https%3A%2F%2Fpeople.eecs.berkeley.edu%2F~jonlong%2Flong_shelhamer_fcn.pdf&usg=AOvVaw1OZIT1dpO9NAS45hB7mhG8)|
-|Object Detection & Segmentation|	[Faster-RCNN ](https://arxiv.org/abs/1506.01497)	|
-|Object Detection & Segmentation|	[Mask-RCNN ](https://arxiv.org/abs/1703.06870)	|
-|Object Detection & Segmentation|[YOLO v2 ](https://arxiv.org/abs/1612.08242)/ [v3 ](https://pjreddie.com/media/files/papers/YOLOv3.pdf)|
-
-
-## GAN models
-|Model      | Reference |
-|-------------|:--------------|
-|	Text to Image|	[Generative Adversarial Text to image Synthesis ](https://arxiv.org/abs/1605.05396)|
-|Style Transfer	|[Unpaired Image to Image Translation using Cycle consistent Adversarial Network ](https://arxiv.org/abs/1703.10593)|
-|Sound Generative models|	[WaveNet: A Generative Model for Raw Audio ](https://arxiv.org/abs/1609.03499)|
-## NLP models
-|Model      | Reference |
-|-------------|:--------------|
-|Speech Recognition|	[Speech recognition with deep recurrent neural networks ](https://www.cs.toronto.edu/~fritz/absps/RNN13.pdf)|
-|	Text To Speech|	[Deep voice: Real time neural text to speech ](https://arxiv.org/abs/1702.07825)	|
-|	Language Model|	[Deep Neural Network Language Models ](https://pdfs.semanticscholar.org/a177/45f1d7045636577bcd5d513620df5860e9e5.pdf)	|
-|	Machine Translation|	[Neural Machine Translation by jointly learning to align and translate ](https://arxiv.org/abs/1409.0473)|
-|Machine Translation|	[Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation ](https://arxiv.org/abs/1609.08144)	|
-
-## Models using Image as well as NLP
-|Model      | Reference |
-|-------------|:--------------|
-|Visual Question Answering	|[VQA: Visual Question Answering ](https://arxiv.org/pdf/1505.00468v6.pdf)
-|Visual Question Answering	|[Yin and Yang: Balancing and Answering Binary Visual Questions ](https://arxiv.org/pdf/1511.05099.pdf)
-|Visual Question Answering	|[Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering](https://arxiv.org/pdf/1612.00837.pdf)
-|	Visual Dialog|	[Visual Dialog ](https://arxiv.org/abs/1611.08669)
-
-
-## Other interesting models
-|Model      | Reference |
-|-------------|:--------------|
-|Time Series Forecasting|	[Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks ](https://arxiv.org/pdf/1703.07015.pdf)
-|Recommender systems|[DropoutNet: Addressing Cold Start in Recommender Systems](http://www.cs.toronto.edu/~mvolkovs/nips2017_deepcf.pdf)
-|Collaborative filtering||
-|Autoencoders||
-
-Want other models in this Model Zoo? Go ahead and raise a GitHub issue outlining details and update the above list to call the community for contribution.