sn29_v31-GGUF / README.md
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metadata
library_name: transformers
tags:
  - TensorBlock
  - GGUF
base_model: luaqi/sn29_v31
TensorBlock

Feedback and support: TensorBlock's Twitter/X, Telegram Group and Discord server

luaqi/sn29_v31 - GGUF

This repo contains GGUF format model files for luaqi/sn29_v31.

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

Prompt template

<|system|>
{system_prompt}<|end|>
<|user|>
{prompt}<|end|>
<|assistant|>

Model file specification

Filename Quant type File Size Description
sn29_v31-Q2_K.gguf Q2_K 2.067 GB smallest, significant quality loss - not recommended for most purposes
sn29_v31-Q3_K_S.gguf Q3_K_S 2.461 GB very small, high quality loss
sn29_v31-Q3_K_M.gguf Q3_K_M 2.871 GB very small, high quality loss
sn29_v31-Q3_K_L.gguf Q3_K_L 3.069 GB small, substantial quality loss
sn29_v31-Q4_0.gguf Q4_0 3.196 GB legacy; small, very high quality loss - prefer using Q3_K_M
sn29_v31-Q4_K_S.gguf Q4_K_S 3.215 GB small, greater quality loss
sn29_v31-Q4_K_M.gguf Q4_K_M 3.521 GB medium, balanced quality - recommended
sn29_v31-Q5_0.gguf Q5_0 3.888 GB legacy; medium, balanced quality - prefer using Q4_K_M
sn29_v31-Q5_K_S.gguf Q5_K_S 3.888 GB large, low quality loss - recommended
sn29_v31-Q5_K_M.gguf Q5_K_M 4.148 GB large, very low quality loss - recommended
sn29_v31-Q6_K.gguf Q6_K 4.623 GB very large, extremely low quality loss
sn29_v31-Q8_0.gguf Q8_0 5.987 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/sn29_v31-GGUF --include "sn29_v31-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/sn29_v31-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'