hfl/chinese-alpaca-2-7b-16k-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-16k-gguf ./model-folder
需要做种者 →

Chinese-Alpaca-2-7B-16K-GGUF

This repository contains the GGUF-v3 models (llama.cpp compatible) for Chinese-Alpaca-2-7B-16K.

Performance

Metric: PPL, lower is better

Quant original imatrix (-im)
Q2_K 11.8181 +/- 0.16402 13.6285 +/- 0.19294
Q3_K 9.5596 +/- 0.13369 9.3748 +/- 0.13108
Q4_0 9.6480 +/- 0.13459 -
Q4_K 8.9622 +/- 0.12507 8.9229 +/- 0.12467
Q5_0 8.9274 +/- 0.12485 -
Q5_K 8.8370 +/- 0.12353 8.8221 +/- 0.12348
Q6_K 8.7830 +/- 0.12290 8.7695 +/- 0.12260
Q8_0 8.7644 +/- 0.12261 -
F16 8.7676 +/- 0.12268 -

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

Others

For Hugging Face version, please see: https://huggingface.co/hfl/chinese-alpaca-2-7b-16k

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