tensorblock/774M-03_09_2024-GGUF

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

RaoFoundation/774M-03_09_2024 - GGUF

This repo contains GGUF format model files for RaoFoundation/774M-03_09_2024.

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

Filename	Quant type	File Size	Description
774M-03_09_2024-Q2_K.gguf	Q2_K	0.347 GB	smallest, significant quality loss - not recommended for most purposes
774M-03_09_2024-Q3_K_S.gguf	Q3_K_S	0.393 GB	very small, high quality loss
774M-03_09_2024-Q3_K_M.gguf	Q3_K_M	0.419 GB	very small, high quality loss
774M-03_09_2024-Q3_K_L.gguf	Q3_K_L	0.436 GB	small, substantial quality loss
774M-03_09_2024-Q4_0.gguf	Q4_0	0.461 GB	legacy; small, very high quality loss - prefer using Q3_K_M
774M-03_09_2024-Q4_K_S.gguf	Q4_K_S	0.481 GB	small, greater quality loss
774M-03_09_2024-Q4_K_M.gguf	Q4_K_M	0.509 GB	medium, balanced quality - recommended
774M-03_09_2024-Q5_0.gguf	Q5_0	0.545 GB	legacy; medium, balanced quality - prefer using Q4_K_M
774M-03_09_2024-Q5_K_S.gguf	Q5_K_S	0.554 GB	large, low quality loss - recommended
774M-03_09_2024-Q5_K_M.gguf	Q5_K_M	0.578 GB	large, very low quality loss - recommended
774M-03_09_2024-Q6_K.gguf	Q6_K	0.670 GB	very large, extremely low quality loss
774M-03_09_2024-Q8_0.gguf	Q8_0	0.820 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/774M-03_09_2024-GGUF --include "774M-03_09_2024-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/774M-03_09_2024-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'