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@@ -71,7 +71,9 @@ gen_input = tokenizer.apply_chat_template(messages, return_tensors="pt")
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  quantized_model.generate(**gen_input)
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  ```
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- Below shows a code example on how to do a tool use with this model and tranformer library, Since **orca_mini_v8_0_70b** based upon LLaMA-3.3 so it supports multiple tool use formats. You can see a full guide to prompt formatting [here](https://llama.meta.com/docs/model-cards-and-prompt-formats/llama3_1/).
 
 
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  Tool use is also supported through [chat templates](https://huggingface.co/docs/transformers/main/chat_templating#advanced-tool-use--function-calling) in Transformers.
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  Here is a quick example showing a single simple tool:
 
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  quantized_model.generate(**gen_input)
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  ```
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+ Below shows a code example on how to do a tool use with this model and tranformer library
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+
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+ Since **orca_mini_v8_0_70b** based upon LLaMA-3.3, it supports multiple tool use formats. You can see a full guide to prompt formatting [here](https://llama.meta.com/docs/model-cards-and-prompt-formats/llama3_1/).
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  Tool use is also supported through [chat templates](https://huggingface.co/docs/transformers/main/chat_templating#advanced-tool-use--function-calling) in Transformers.
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  Here is a quick example showing a single simple tool: