hfl/llama-3-chinese-8b-instruct-v2-gguf

🤗 Hugging Face 来源apache-2.0激活 8B59 GBGGUF✓ 9 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/llama-3-chinese-8b-instruct-v2-gguf ./model-folder
需要做种者 →

Llama-3-Chinese-8B-Instruct-v2-GGUF

This repository contains Llama-3-Chinese-8B-Instruct-v2-GGUF (llama.cpp/ollama/tgw, etc. compatible), which is the quantized version of Llama-3-Chinese-8B-Instruct-v2.

Note: this is an instruction (chat) model, which can be used for conversation, QA, etc.

Further details (performance, usage, etc.) should refer to GitHub project page: https://github.com/ymcui/Chinese-LLaMA-Alpaca-3

Performance

Metric: PPL, lower is better

Note: PPL for v2 models are higher than v1, as the v2's base model (Meta-Llama-3-8B-Instruct) also has a larger PPL than v1's (Meta-Llama-3-8B).

Quant Size PPL
Q2_K 2.96 GB 13.2488 +/- 0.17217
Q3_K 3.74 GB 6.9618 +/- 0.08420
Q4_0 4.34 GB 6.8925 +/- 0.08437
Q4_K 4.58 GB 6.4851 +/- 0.07892
Q5_0 5.21 GB 6.4608 +/- 0.07862
Q5_K 5.34 GB 6.3742 +/- 0.07740
Q6_K 6.14 GB 6.3494 +/- 0.07703
Q8_0 7.95 GB 6.3110 +/- 0.07673
F16 14.97 GB 6.3005 +/- 0.07658

Others