README.md

---
base_model: mistralai/Mixtral-8x7B-v0.1
inference: false
license: apache-2.0
language:
- zh
- en
---

# Chinese-Mixtral-LoRA
<p align="center">
    <a href="https://github.com/ymcui/Chinese-Mixtral"><img src="https://ymcui.com/images/chinese-mixtral-banner.png" width="600"/></a>
</p>

**Chinese Mixtral GitHub repository: https://github.com/ymcui/Chinese-Mixtral**

This repository contains **Chinese-Mixtral-LoRA**, which is further pre-trained on [Mixtral-8x7B-v0.1](https://huggingface.co/mistralai/Mixtral-8x7B-v0.1).

**Note: You must combine LoRA with the original [Mixtral-8x7B-v0.1](https://huggingface.co/mistralai/Mixtral-8x7B-v0.1) to obtain full weight.**

## Others

- For full model, please see: https://huggingface.co/hfl/chinese-mixtral

- For GGUF model (llama.cpp compatible), please see: https://huggingface.co/hfl/chinese-mixtral-gguf

- If you have questions/issues regarding this model, please submit an issue through [https://github.com/ymcui/Chinese-Mixtral/](https://github.com/ymcui/Chinese-Mixtral/).

## Citation

Please consider cite our paper if you use the resource of this repository.
Paper link: https://arxiv.org/abs/2403.01851
```
@article{chinese-mixtral,
      title={Rethinking LLM Language Adaptation: A Case Study on Chinese Mixtral}, 
      author={Cui, Yiming and Yao, Xin},
      journal={arXiv preprint arXiv:2403.01851},
      url={https://arxiv.org/abs/2403.01851},
      year={2024}
}
```