[GH-ISSUE #498] DeepSeekV3/R1 部署后的精度评估,以什么方式评估精度比较方便? #356

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opened 2026-10-29 14:38:24 +00:00 by bsakaguchi · 5 comments
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Originally created by @QingshuiL on GitHub (Feb 19, 2025).
Original GitHub issue: https://github.com/kvcache-ai/ktransformers/issues/498

请教一下,DeepSeekV3/R1 模型部署成功后,我想和满血的原模型对比精度,常用的 lm_eval 似乎不能用了,有什么评估模型精度的方法方便和原模型对比?

Originally created by @QingshuiL on GitHub (Feb 19, 2025). Original GitHub issue: https://github.com/kvcache-ai/ktransformers/issues/498 请教一下,DeepSeekV3/R1 模型部署成功后,我想和满血的原模型对比精度,常用的 lm_eval 似乎不能用了,有什么评估模型精度的方法方便和原模型对比?
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@VinayaLee commented on GitHub (Feb 19, 2025):

我用的opencompass https://github.com/open-compass/OpenCompass/ ,通过api的方式启动KTransformers,然后就能用opencompass去测试了。

<!-- gh-comment-id:2667891945 --> @VinayaLee commented on GitHub (Feb 19, 2025): 我用的opencompass [https://github.com/open-compass/OpenCompass/](url) ,通过api的方式启动KTransformers,然后就能用opencompass去测试了。
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@QingshuiL commented on GitHub (Feb 19, 2025):

@VinayaLee 老哥优秀!感谢

<!-- gh-comment-id:2667897375 --> @QingshuiL commented on GitHub (Feb 19, 2025): @VinayaLee 老哥优秀!感谢
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@agenda2011 commented on GitHub (Feb 20, 2025):

@VinayaLee 评测结果能发一下吗?感谢

<!-- gh-comment-id:2670313817 --> @agenda2011 commented on GitHub (Feb 20, 2025): @VinayaLee 评测结果能发一下吗?感谢
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@Azure-Tang commented on GitHub (Feb 20, 2025):

我们在test文件夹下提供了mmlu和mmlupro的测试脚本,之后会开源更多的测试脚本。

<!-- gh-comment-id:2670470219 --> @Azure-Tang commented on GitHub (Feb 20, 2025): 我们在test文件夹下提供了mmlu和mmlupro的测试脚本,之后会开源更多的测试脚本。
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@alexzhf commented on GitHub (Feb 27, 2025):

我用的opencompass https://github.com/open-compass/OpenCompass/ ,通过api的方式启动KTransformers,然后就能用opencompass去测试了。

@VinayaLee 评测结果能发一下吗?感谢

<!-- gh-comment-id:2687150892 --> @alexzhf commented on GitHub (Feb 27, 2025): > 我用的opencompass [https://github.com/open-compass/OpenCompass/](url) ,通过api的方式启动KTransformers,然后就能用opencompass去测试了。 @VinayaLee 评测结果能发一下吗?感谢
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