hfl/chinese-mixtral-instruct-gguf

Model

Chinese-Mixtral-Instruct-GGUF

12

46 commits

1 linked in READMEs

updated Mar 27, 2024

See the code

README

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

Performance

Metric: PPL, lower is better

QuantSize ↓PPL
IQ1_S9.8 GB9.5782 +/- 0.08909
IQ1_M10.8 GB7.4666 +/- 0.06741
IQ2_XXS12.3 GB6.3923 +/- 0.05674
IQ2_XS13.7 GB6.0606 +/- 0.05834
IQ2_S14.1 GB4.7617 +/- 0.04177
IQ2_M15.5 GB4.5911 +/- 0.04054
Q2_K17.3 GB4.8592 +/- 0.04303
IQ3_XXS18.3 GB4.3557 +/- 0.03846
IQ3_XS19.3 GB4.3328 +/- 0.03779
IQ3_S20.4 GB4.3138 +/- 0.03785
IQ3_M21.4 GB4.3024 +/- 0.03775
Q3_K22.5 GB4.4334 +/- 0.03937
IQ4_XS25.1 GB4.2324 +/- 0.03757
Q4_026.4 GB4.2688 +/- 0.03787
IQ4_NL26.5 GB4.2384 +/- 0.03763
Q4_K28.4 GB4.2433 +/- 0.03768
Q5_032.2 GB4.2142 +/- 0.03733
Q5_K33.2 GB4.2177 +/- 0.03743
Q6_K38.4 GB4.2184 +/- 0.03754
Q8_049.6 GB4.2053 +/- 0.03732
F1693.5 GBx

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/ 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}
}
endpoints_compatible
gguf

hfl/chinese-mixtral-instruct-gguf

Model

Chinese-Mixtral-Instruct-GGUF

12

46 commits

1 linked in READMEs

updated Mar 27, 2024

See the code

README

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

Performance

Metric: PPL, lower is better

QuantSize ↓PPL
IQ1_S9.8 GB9.5782 +/- 0.08909
IQ1_M10.8 GB7.4666 +/- 0.06741
IQ2_XXS12.3 GB6.3923 +/- 0.05674
IQ2_XS13.7 GB6.0606 +/- 0.05834
IQ2_S14.1 GB4.7617 +/- 0.04177
IQ2_M15.5 GB4.5911 +/- 0.04054
Q2_K17.3 GB4.8592 +/- 0.04303
IQ3_XXS18.3 GB4.3557 +/- 0.03846
IQ3_XS19.3 GB4.3328 +/- 0.03779
IQ3_S20.4 GB4.3138 +/- 0.03785
IQ3_M21.4 GB4.3024 +/- 0.03775
Q3_K22.5 GB4.4334 +/- 0.03937
IQ4_XS25.1 GB4.2324 +/- 0.03757
Q4_026.4 GB4.2688 +/- 0.03787
IQ4_NL26.5 GB4.2384 +/- 0.03763
Q4_K28.4 GB4.2433 +/- 0.03768
Q5_032.2 GB4.2142 +/- 0.03733
Q5_K33.2 GB4.2177 +/- 0.03743
Q6_K38.4 GB4.2184 +/- 0.03754
Q8_049.6 GB4.2053 +/- 0.03732
F1693.5 GBx

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/ 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}
}
endpoints_compatible
gguf