---
license: apache-2.0
language:
- zh
- en
tags:
- moe
---

# Chinese-Mixtral-GGUF
<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 the GGUF-v3 models (llama.cpp compatible) for **Chinese-Mixtral** (this is not a chat/instruction model).

## Performance

Metric: PPL, lower is better

| Quant | PPL  |
| ----- | ---- |
| IQ1_S | 20.7314 +/- 0.22627 |
| IQ2_XXS | 8.5981 +/- 0.09267 |
| IQ2_XS | 6.9784 +/- 0.07476 |
| Q2_K  | 5.1846 +/- 0.05533    |
| IQ3_XXS | 4.5990 +/- 0.04969 | 
| Q3_K  | 4.5545 +/- 0.04893     |
| Q4_0  | 4.4917 +/- 0.04844      |
| Q4_K  | 4.4488 +/- 0.04813     |
| Q5_0  | 4.4224 +/- 0.04753     |
| Q5_K  | 4.4192 +/- 0.04768    |
| Q6_K  | 4.4092 +/- 0.04758     |
| Q8_0  | 4.4076 +/- 0.04746     |
| F16   |   x   |

Due to the file size limitation, for F16 model, please use `cat` command to concatenate all parts into a single file. **You must concatenate these parts in order.**


## Others

- For Hugging Face version, please see: https://huggingface.co/hfl/chinese-mixtral

- 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}
}
```