hfl/chinese-alpaca-2-7b-64k-gguf

🤗 Hugging Face 来源apache-2.0激活 7B72 GBGGUF✓ 14 个校验和今天更新
一条命令提交

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-2-7b-64k-gguf ./model-folder
需要做种者 →

Chinese-Alpaca-2-7B-64K

This repository contains GGUF-v3 version (llama.cpp compatible) of Chinese-Alpaca-2-7B-64K, which is tuned on Chinese-Alpaca-2-7B with YaRN method.

Performance

Metric: PPL, lower is better

Quant original imatrix (-im)
Q2_K 9.8201 +/- 0.13298 10.3057 +/- 0.14197
Q3_K 8.4435 +/- 0.11467 8.3556 +/- 0.11316
Q4_0 8.3573 +/- 0.11496 -
Q4_K 8.0558 +/- 0.10948 8.0557 +/- 0.10964
Q5_0 8.0220 +/- 0.10954 -
Q5_K 7.9388 +/- 0.10802 7.9440 +/- 0.10815
Q6_K 7.9267 +/- 0.10792 7.9126 +/- 0.10775
Q8_0 7.9117 +/- 0.10773 -
F16 7.9124 +/- 0.10780 -

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-2-7b-64k

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