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--- |
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base_model: unsloth/gemma-1.1-2b-it-bnb-4bit |
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language: |
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- en |
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license: apache-2.0 |
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tags: |
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- text-generation-inference |
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- transformers |
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- unsloth |
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- gemma |
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- trl |
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- sft |
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--- |
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functions_metadata = [ |
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{ |
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"type": "function", |
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"function": { |
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"name": "get_temperature", |
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"description": "get temperature of a city", |
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"parameters": { |
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"type": "object", |
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"properties": { |
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"city": { |
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"type": "string", |
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"description": "name" |
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} |
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}, |
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"required": [ |
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"city" |
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] |
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} |
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} |
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} |
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] |
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```python |
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messages = [ |
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{ "role": "user", "content": f"""Bạn là một trợ lý hữu ích có quyền truy cập vào các chức năng sau. Sử dụng chúng nếu cần -\n{str(functions_metadata)}"""}, |
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{ "role": "user", "content": "What is the temperature in Tokyo right now?"}, |
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# You will get the previous prediction, extract it will the tag <functioncall> |
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# execute the function and append it to the messages like below: |
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{ "role": "assistant", "content": """<functioncall> {"name": "get_temperature", "arguments": '{"city": "Tokyo"}'} </functioncall>"""}, |
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{ "role": "user", "content": """<function_response> {"temperature":30 C} </function_response>"""} |
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] |
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input_ids = tokenizer.apply_chat_template( |
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messages, |
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add_generation_prompt=True, |
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return_tensors="pt" |
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).to(model.device) |
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outputs = model.generate( |
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input_ids, |
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max_new_tokens=256, |
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do_sample=True, |
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temperature=0.6, |
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top_p=0.9, |
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) |
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response = outputs[0][input_ids.shape[-1]:] |
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print(tokenizer.decode(response, skip_special_tokens=True)) |
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# >> The current temperature in Tokyo is 30 degrees Celsius. |
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``` |
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# Uploaded model |
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- **Developed by:** hiieu |
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- **License:** apache-2.0 |
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- **Finetuned from model :** unsloth/gemma-1.1-2b-it-bnb-4bit |
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This gemma model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library. |
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[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth) |
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