README.md

---
license: apache-2.0
pipeline_tag: text-generation
language:
- ja
- en
tags:
- japanese
- mistral
inference: false
base_model: mistralai/Mistral-Nemo-Base-2407
---
# Mistral-Nemo-Japanese-Instruct-2408

## Model Description

This is a Japanese continually pre-trained model based on [mistralai/Mistral-Nemo-Instruct-2407](https://huggingface.co./mistralai/Mistral-Nemo-Instruct-2407).

## Usage

Make sure to update your transformers installation via `pip install --upgrade transformers`.

```python
from transformers import AutoModelForCausalLM, AutoTokenizer, TextStreamer

model = AutoModelForCausalLM.from_pretrained("cyberagent/Mistral-Nemo-Japanese-Instruct-2408", device_map="auto", torch_dtype="auto")
tokenizer = AutoTokenizer.from_pretrained("cyberagent/Mistral-Nemo-Japanese-Instruct-2408")
streamer = TextStreamer(tokenizer, skip_prompt=True, skip_special_tokens=True)

messages = [
    {"role": "system", "content": "あなたは親切なAIアシスタントです。"},
    {"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？"}
]

input_ids = tokenizer.apply_chat_template(messages, add_generation_prompt=True, return_tensors="pt").to(model.device)
output_ids = model.generate(input_ids,
                            max_new_tokens=1024,
                            temperature=0.5,
                            streamer=streamer)
```

## Prompt Format
ChatML Format
```
<s><|im_start|>system
あなたは親切なAIアシスタントです。<|im_end|>
<|im_start|>user
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|>
<|im_start|>assistant


```

## License
Apache-2.0

## Author

[Ryosuke Ishigami](https://huggingface.co./rishigami)

## How to cite

```tex
@misc{cyberagent-mistral-nemo-japanese-instruct-2408,
      title={Mistral-Nemo-Japanese-Instruct-2408},
      url={https://huggingface.co./cyberagent/Mistral-Nemo-Japanese-Instruct-2408},
      author={Ryosuke Ishigami},
      year={2024},
}
```