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README.md
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@@ -47,7 +47,7 @@ We have evaluated Nanbeige2-8B-Chat's general question-answering capabilities an
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| 25.2%/39.4% | 7.03 | 7.82 |
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Additionally, we have published the performance of our model on [FlagEval](https://flageval.baai.ac.cn/#/trending)(SFT model leaderboard) and [OpenCompass Leaderboard](https://rank.opencompass.org.cn/leaderboard-llm). It is highly competitive among models with less than 10B
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## <span id="Inference">Inference</span>
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| 25.2%/39.4% | 7.03 | 7.82 |
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Additionally, we have published the performance of our model on [FlagEval](https://flageval.baai.ac.cn/#/trending)(SFT model leaderboard) and [OpenCompass Leaderboard](https://rank.opencompass.org.cn/leaderboard-llm). It is highly competitive among models with less than 10B parameters.
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## <span id="Inference">Inference</span>
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