70 lines
2.0 KiB
Markdown
70 lines
2.0 KiB
Markdown
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---
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license: apache-2.0
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pipeline_tag: text-generation
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language:
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- ja
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- en
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tags:
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- japanese
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- mistral
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inference: false
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base_model: mistralai/Mistral-Nemo-Base-2407
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---
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# Mistral-Nemo-Japanese-Instruct-2408
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## Model Description
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This is a Japanese continually pre-trained model based on [mistralai/Mistral-Nemo-Instruct-2407](https://huggingface.co/mistralai/Mistral-Nemo-Instruct-2407).
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## Usage
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Make sure to update your transformers installation via `pip install --upgrade transformers`.
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer, TextStreamer
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model = AutoModelForCausalLM.from_pretrained("cyberagent/Mistral-Nemo-Japanese-Instruct-2408", device_map="auto", torch_dtype="auto")
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tokenizer = AutoTokenizer.from_pretrained("cyberagent/Mistral-Nemo-Japanese-Instruct-2408")
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streamer = TextStreamer(tokenizer, skip_prompt=True, skip_special_tokens=True)
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messages = [
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{"role": "system", "content": "あなたは親切なAIアシスタントです。"},
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{"role": "user", "content": "AIによって私たちの暮らしはどのように変わりますか？"}
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]
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input_ids = tokenizer.apply_chat_template(messages, add_generation_prompt=True, return_tensors="pt").to(model.device)
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output_ids = model.generate(input_ids,
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max_new_tokens=1024,
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temperature=0.5,
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streamer=streamer)
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```
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## Prompt Format
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ChatML Format
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```
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<s><|im_start|>system
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あなたは親切なAIアシスタントです。<|im_end|>
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<|im_start|>user
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AIによって私たちの暮らしはどのように変わりますか？<|im_end|>
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<|im_start|>assistant
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```
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## License
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Apache-2.0
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## Author
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[Ryosuke Ishigami](https://huggingface.co/rishigami)
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## How to cite
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```tex
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@misc{cyberagent-mistral-nemo-japanese-instruct-2408,
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title={Mistral-Nemo-Japanese-Instruct-2408},
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url={https://huggingface.co/cyberagent/Mistral-Nemo-Japanese-Instruct-2408},
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author={Ryosuke Ishigami},
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year={2024},
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}
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```
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