Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

您好,请教一个问题,请问OpenCompass官网公开学术榜单中,测试的Qwen2模型中temperature、repetition_penalty、、top_p这些参数是设置多少的?模型部署的方式是采用什么方式部署的? #1523

Open
2 tasks done
13416157913 opened this issue Sep 12, 2024 · 3 comments
Assignees

Comments

@13416157913
Copy link

Prerequisite

Type

I'm evaluating with the officially supported tasks/models/datasets.

Environment

1

Reproduces the problem - code/configuration sample

1

Reproduces the problem - command or script

1

Reproduces the problem - error message

1

Other information

您好,请教一个问题,请问OpenCompass官网公开学术榜单中,测试的Qwen2模型中temperature、repetition_penalty、top_p这些参数是设置多少的?模型部署的方式是采用什么方式部署的?
image

@tonysy
Copy link
Collaborator

tonysy commented Sep 12, 2024

We use greedy-decoding, use LMDeploy as inference backend

@13416157913
Copy link
Author

We use greedy-decoding, use LMDeploy as inference backend

Thanks your answer, and then how to set temperature、repetition_penalty、top_p and so on ?

@tonysy
Copy link
Collaborator

tonysy commented Sep 12, 2024

For greedy decoding, no need for these parameters

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

3 participants