Chinese-Mixtral-GGUF
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}
}
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Collection
This collection hosts the Chinese-Mixtral LLMs, including Full weight, LoRA, and GGUF formats.
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