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@@ -25,16 +25,16 @@ Window context = 4k tokens
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  Submitted on [OpenLLM Leaderboard](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard), results in few days !
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- ### Evaluation in French
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- Chocolatine-3B-Instruct-DPO-Revised is outperforming GPT-3.5-Turbo on [mt-bench-french](https://huggingface.co/datasets/bofenghuang/mt-bench-french) by Bofeng Huang,
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  used with [multilingual-mt-bench](https://github.com/Peter-Devine/multilingual_mt_bench)
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  ![image/jpeg](https://github.com/jpacifico/Chocolatine-LLM/blob/main/Assets/results_fr_mt_bench_400x900.png?raw=false)
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  ### Usage
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- You can run this model my [Colab notebook](https://github.com/jpacifico/Chocolatine-LLM/blob/main/Chocolatine_3B_inference_test_colab.ipynb)
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  You can also run this model using the following code:
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  Submitted on [OpenLLM Leaderboard](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard), results in few days !
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+ ### Evaluation MT-Bench in French
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+ Chocolatine-3B-Instruct-DPO-Revised is outperforming GPT-3.5-Turbo on [MT-Bench-French](https://huggingface.co/datasets/bofenghuang/mt-bench-french) by Bofeng Huang,
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  used with [multilingual-mt-bench](https://github.com/Peter-Devine/multilingual_mt_bench)
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  ![image/jpeg](https://github.com/jpacifico/Chocolatine-LLM/blob/main/Assets/results_fr_mt_bench_400x900.png?raw=false)
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  ### Usage
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+ You can run this model using my [Colab notebook](https://github.com/jpacifico/Chocolatine-LLM/blob/main/Chocolatine_3B_inference_test_colab.ipynb)
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  You can also run this model using the following code:
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