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？

[13416157913]

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• [X] I have searched Issues and Discussions but cannot get the expected help.
• [X] The bug has not been fixed in the latest version.

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

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Reproduces the problem - code/configuration sample

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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？

[tonysy]

We use greedy-decoding, use LMDeploy as inference backend

[13416157913]

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]

For greedy decoding, no need for these parameters

[luhairong11]

For greedy decoding, no need for these parameters 我通过调用api服务测试，发现每次测试的结果分数都不一样，本地模型路径的方式加载测试是一样的，调用api测试是哪里设置不对吗，temperature=0，top_k=-1,top_p=1,可以查看下面issue，谢谢大佬: https://github.com/open-compass/opencompass/issues/1634