tensorblock/llama3.2-1b-Uncensored-GGUF

🤗 Hugging Face 来源text-generationmit激活 1B10 GBGGUF✓ 2 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 tensorblock/llama3.2-1b-Uncensored-GGUF ./model-folder
需要做种者 →

nztinversive/llama3.2-1b-Uncensored - GGUF

This repo contains GGUF format model files for nztinversive/llama3.2-1b-Uncensored.

The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b4011.

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## Prompt template

Model file specification

Filename Quant type File Size Description
llama3.2-1b-Uncensored-Q2_K.gguf Q2_K 0.581 GB smallest, significant quality loss - not recommended for most purposes
llama3.2-1b-Uncensored-Q3_K_S.gguf Q3_K_S 0.642 GB very small, high quality loss
llama3.2-1b-Uncensored-Q3_K_M.gguf Q3_K_M 0.691 GB very small, high quality loss
llama3.2-1b-Uncensored-Q3_K_L.gguf Q3_K_L 0.733 GB small, substantial quality loss
llama3.2-1b-Uncensored-Q4_0.gguf Q4_0 0.771 GB legacy; small, very high quality loss - prefer using Q3_K_M
llama3.2-1b-Uncensored-Q4_K_S.gguf Q4_K_S 0.776 GB small, greater quality loss
llama3.2-1b-Uncensored-Q4_K_M.gguf Q4_K_M 0.808 GB medium, balanced quality - recommended
llama3.2-1b-Uncensored-Q5_0.gguf Q5_0 0.893 GB legacy; medium, balanced quality - prefer using Q4_K_M
llama3.2-1b-Uncensored-Q5_K_S.gguf Q5_K_S 0.893 GB large, low quality loss - recommended
llama3.2-1b-Uncensored-Q5_K_M.gguf Q5_K_M 0.911 GB large, very low quality loss - recommended
llama3.2-1b-Uncensored-Q6_K.gguf Q6_K 1.022 GB very large, extremely low quality loss
llama3.2-1b-Uncensored-Q8_0.gguf Q8_0 1.321 GB very large, extremely low quality loss - not recommended

Downloading instruction

Command line

Firstly, install Huggingface Client

pip install -U "huggingface_hub[cli]"

Then, downoad the individual model file the a local directory

huggingface-cli download tensorblock/llama3.2-1b-Uncensored-GGUF --include "llama3.2-1b-Uncensored-Q2_K.gguf" --local-dir MY_LOCAL_DIR

If you wanna download multiple model files with a pattern (e.g., *Q4_K*gguf), you can try:

huggingface-cli download tensorblock/llama3.2-1b-Uncensored-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'