tensorblock/TinyStories-656K-GGUF

🤗 Hugging Face 来源apache-2.0-GGUF⚠ 没有 SHA-256 权重今天更新
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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 tensorblock/TinyStories-656K-GGUF ./model-folder
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raincandy-u/TinyStories-656K - GGUF

This repo contains GGUF format model files for raincandy-u/TinyStories-656K.

The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b4242.

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## Prompt template

Model file specification

Filename Quant type File Size Description
TinyStories-656K-Q2_K.gguf Q2_K 0.001 GB smallest, significant quality loss - not recommended for most purposes
TinyStories-656K-Q3_K_S.gguf Q3_K_S 0.001 GB very small, high quality loss
TinyStories-656K-Q3_K_M.gguf Q3_K_M 0.001 GB very small, high quality loss
TinyStories-656K-Q3_K_L.gguf Q3_K_L 0.001 GB small, substantial quality loss
TinyStories-656K-Q4_0.gguf Q4_0 0.001 GB legacy; small, very high quality loss - prefer using Q3_K_M
TinyStories-656K-Q4_K_S.gguf Q4_K_S 0.001 GB small, greater quality loss
TinyStories-656K-Q4_K_M.gguf Q4_K_M 0.001 GB medium, balanced quality - recommended
TinyStories-656K-Q5_0.gguf Q5_0 0.001 GB legacy; medium, balanced quality - prefer using Q4_K_M
TinyStories-656K-Q5_K_S.gguf Q5_K_S 0.001 GB large, low quality loss - recommended
TinyStories-656K-Q5_K_M.gguf Q5_K_M 0.001 GB large, very low quality loss - recommended
TinyStories-656K-Q6_K.gguf Q6_K 0.001 GB very large, extremely low quality loss
TinyStories-656K-Q8_0.gguf Q8_0 0.001 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/TinyStories-656K-GGUF --include "TinyStories-656K-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/TinyStories-656K-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'