hfl/chinese-alpaca-2-1.3b-rlhf-gguf

🤗 Hugging Face 来源apache-2.0激活 1.3B14 GBGGUF✓ 14 个校验和今天更新
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在你的模型文件夹旁边运行它。它会制作种子、将文件与 Hugging Face 比对,然后提交。你只需开始做种,并粘贴你账户中的密钥。它只读取你的文件,绝不修改。如果愿意,可以先阅读脚本。

curl -fsSL https://pirateface.co/package.sh | bash -s -- --repo hfl/chinese-alpaca-2-1.3b-rlhf-gguf ./model-folder
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Chinese-Alpaca-2-1.3B-RLHF-GGUF

This repository contains GGUF-v3 version (llama.cpp compatible) of Chinese-Alpaca-2-1.3B-RLHF, which is tuned on Chinese-Alpaca-2-1.3B with RLHF using DeepSpeed-Chat.

The optimal context length is 1K for this model. Specify -c 1024 when using with llama.cpp

Performance

Metric: PPL, lower is better

Quant original imatrix (-im)
Q2_K 20.1066 +/- 0.29236 18.8209 +/- 0.27561
Q3_K 16.9214 +/- 0.26133 16.5729 +/- 0.25706
Q4_0 15.8056 +/- 0.23749 -
Q4_K 16.1579 +/- 0.25064 15.7746 +/- 0.24476
Q5_0 15.4528 +/- 0.23911 -
Q5_K 15.3198 +/- 0.23627 15.4791 +/- 0.23959
Q6_K 15.3718 +/- 0.23764 15.2572 +/- 0.23549
Q8_0 15.3302 +/- 0.23727 -
F16 15.3291 +/- 0.23728 -

The model with -im suffix is generated with important matrix, which has generally better performance (not always though).

Others

For full model in HuggingFace format, please see: https://huggingface.co/hfl/chinese-alpaca-2-1.3b-rlhf

Please refer to https://github.com/ymcui/Chinese-LLaMA-Alpaca-2/ for more details.