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@@ -46,7 +46,7 @@ Top 3 all categories on the French Government [Leaderboard LLM FR](https://huggi
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  ### MT-Bench-French
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  Chocolatine-2 outperforms its previous versions and its base architecture Qwen-2.5 model on [MT-Bench-French](https://huggingface.co/datasets/bofenghuang/mt-bench-french), used with [multilingual-mt-bench](https://github.com/Peter-Devine/multilingual_mt_bench) and GPT-4-Turbo as a LLM-judge.
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- My goal was to achieve GPT-4o-mini's performance on the French language, this version equals the performance of the OpenAI model according to this benchmark
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  ```
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  ########## First turn ##########
 
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  ### MT-Bench-French
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  Chocolatine-2 outperforms its previous versions and its base architecture Qwen-2.5 model on [MT-Bench-French](https://huggingface.co/datasets/bofenghuang/mt-bench-french), used with [multilingual-mt-bench](https://github.com/Peter-Devine/multilingual_mt_bench) and GPT-4-Turbo as a LLM-judge.
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+ My goal was to achieve GPT-4o-mini's performance on the French language, this version comes close to the performance of the OpenAI model according to this benchmark
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  ```
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  ########## First turn ##########