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---
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}
}
``` |