README.md · tensorblock/tiny-mixtral-GGUF at main

metadata

base_model: TitanML/tiny-mixtral
tags:
  - TensorBlock
  - GGUF

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

TitanML/tiny-mixtral - GGUF

This repo contains GGUF format model files for TitanML/tiny-mixtral.

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

Filename	Quant type	File Size	Description
tiny-mixtral-Q2_K.gguf	Q2_K	0.098 GB	smallest, significant quality loss - not recommended for most purposes
tiny-mixtral-Q3_K_S.gguf	Q3_K_S	0.113 GB	very small, high quality loss
tiny-mixtral-Q3_K_M.gguf	Q3_K_M	0.120 GB	very small, high quality loss
tiny-mixtral-Q3_K_L.gguf	Q3_K_L	0.126 GB	small, substantial quality loss
tiny-mixtral-Q4_0.gguf	Q4_0	0.138 GB	legacy; small, very high quality loss - prefer using Q3_K_M
tiny-mixtral-Q4_K_S.gguf	Q4_K_S	0.139 GB	small, greater quality loss
tiny-mixtral-Q4_K_M.gguf	Q4_K_M	0.146 GB	medium, balanced quality - recommended
tiny-mixtral-Q5_0.gguf	Q5_0	0.163 GB	legacy; medium, balanced quality - prefer using Q4_K_M
tiny-mixtral-Q5_K_S.gguf	Q5_K_S	0.163 GB	large, low quality loss - recommended
tiny-mixtral-Q5_K_M.gguf	Q5_K_M	0.167 GB	large, very low quality loss - recommended
tiny-mixtral-Q6_K.gguf	Q6_K	0.190 GB	very large, extremely low quality loss
tiny-mixtral-Q8_0.gguf	Q8_0	0.245 GB	very large, extremely low quality loss - not recommended

Firstly, install Huggingface Client

pip install -U "huggingface_hub[cli]"

Then, downoad the individual model file the a local directory

huggingface-cli download tensorblock/tiny-mixtral-GGUF --include "tiny-mixtral-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/tiny-mixtral-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'