--- license: apache-2.0 language: - zh - en tags: - moe --- # Chinese-Mixtral-Instruct-GGUF
**Chinese Mixtral GitHub repository: https://github.com/ymcui/Chinese-Mixtral** This repository contains the GGUF-v3 models (llama.cpp compatible) for **Chinese-Mixtral-Instruct** (chat/instruction model). **Note: When using instruction/chat model, you MUST follow the official prompt template! Example: [chat.sh](https://github.com/ymcui/Chinese-Mixtral/blob/main/scripts/llamacpp/chat.sh)** ## Performance Metric: PPL, lower is better | Quant | PPL | | ----- | ---- | | IQ1_S | 27.7911 +/- 0.27400 | | IQ2_XXS | 6.7233 +/- 0.06118 | | IQ2_XS | 7.4175 +/- 0.08420 | | Q2_K | 4.5758 +/- 0.03959 | | IQ3_XXS | 4.0389 +/- 0.03489 | | Q3_K | 4.5563 +/- 0.04126 | | Q4_0 | 3.9757 +/- 0.03455 | | Q4_K | 3.9265 +/- 0.03407 | | Q5_0 | 3.9167 +/- 0.03399 | | Q5_K | 3.9232 +/- 0.03403 | | Q6_K | 3.9242 +/- 0.03415 | | Q8_0 | 3.9159 +/- 0.03402 | | 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-instruct Please refer to [https://github.com/ymcui/Chinese-Mixtral/](https://github.com/ymcui/Chinese-Mixtral/) for more details. ## 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} } ```