---
title: chinese-mixtral-instruct-lora
canonical_url: "https://www.modelscope.cn/models/ChineseAlpacaGroup/chinese-mixtral-instruct-lora"
md_url: "https://www.modelscope.cn/models/ChineseAlpacaGroup/chinese-mixtral-instruct-lora.md"
repository: ChineseAlpacaGroup/chinese-mixtral-instruct-lora
last_updated: 2024-04-24
license: apache-2.0
pipeline_tag: fill-mask
tasks:
  - fill-mask
parameters: 1.2B
tensor_type:
  - F16
library_name:
  - safetensors
  - pytorch
frameworks:
  - Pytorch
language:
  - zh
  - en
downloads: 46
stars: 0
---

# chinese-mixtral-instruct-lora

> chinese-mixtral-instruct-lora - ChineseAlpacaGroup 在 ModelScope 开源的模型。Chinese-Mixtral-Instruct-LoRA

ChineseAlpacaGroup/chinese-mixtral-instruct-lora 是 ModelScope 魔搭社区上的 1.2B 参数fill-mask模型，采用 apache-2.0 许可。

- **Repository**: ChineseAlpacaGroup/chinese-mixtral-instruct-lora
- **License**: apache-2.0
- **Tasks**: fill-mask
- **Parameters**: 1.2B
- **Downloads**: 46
- **Stars**: 0
- **Last updated**: 2024-04-24

Source: https://www.modelscope.cn/models/ChineseAlpacaGroup/chinese-mixtral-instruct-lora

---

# Chinese-Mixtral-Instruct-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-Instruct-LoRA**, which is further tuned with instruction data on [Chinese-Mixtral](https://huggingface.co/hfl/chinese-mixtral), where Chinese-Mixtral is build on top of [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-instruct

- For GGUF model (llama.cpp compatible), please see: https://huggingface.co/hfl/chinese-mixtral-instruct-gguf
  
- If you have questions/issues regarding this model, please submit an issue through 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}
}
```