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ToolACE-2-Llama-3.1-8B

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@@ -29,10 +29,12 @@ More details can be found in our paper on arxiv: [*ToolACE: Winning the Points
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  ![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/66bf01f45bdd611f9a602087/WmyWOYtg_dbTgwQmvlqcz.jpeg)
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- Here are the winning scores of ToolACE in [BFCL-v3]((https://gorilla.cs.berkeley.edu/leaderboard.html#leaderboard)).
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- ![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/646735a98334813a7ae29500/vfdvY0WThizThDN59ClkG.jpeg)
 
 
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  ### Usage
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  Here we provide a code snippet with `apply_chat_template` to show you how to load the tokenizer and model and how to generate function calling with given functions.
 
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  ![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/66bf01f45bdd611f9a602087/WmyWOYtg_dbTgwQmvlqcz.jpeg)
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+ Here are the winning scores of ToolACE-2-8B in [BFCL-v3]((https://gorilla.cs.berkeley.edu/leaderboard.html#leaderboard)), which wins the highest scores among 8B-scale models.
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+ ![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/646735a98334813a7ae29500/smLEpFoS7W6OIkeE92_5O.jpeg)
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  ### Usage
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  Here we provide a code snippet with `apply_chat_template` to show you how to load the tokenizer and model and how to generate function calling with given functions.