tensorblock/Volare-GGUF

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MoxoffSpA/Volare - GGUF

This repo contains GGUF format model files for MoxoffSpA/Volare.

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

Prompt template

Model file specification

Filename	Quant type	File Size	Description
Volare-Q2_K.gguf	Q2_K	3.242 GB	smallest, significant quality loss - not recommended for most purposes
Volare-Q3_K_S.gguf	Q3_K_S	3.709 GB	very small, high quality loss
Volare-Q3_K_M.gguf	Q3_K_M	4.069 GB	very small, high quality loss
Volare-Q3_K_L.gguf	Q3_K_L	4.386 GB	small, substantial quality loss
Volare-Q4_0.gguf	Q4_0	4.668 GB	legacy; small, very high quality loss - prefer using Q3_K_M
Volare-Q4_K_S.gguf	Q4_K_S	4.700 GB	small, greater quality loss
Volare-Q4_K_M.gguf	Q4_K_M	4.964 GB	medium, balanced quality - recommended
Volare-Q5_0.gguf	Q5_0	5.570 GB	legacy; medium, balanced quality - prefer using Q4_K_M
Volare-Q5_K_S.gguf	Q5_K_S	5.570 GB	large, low quality loss - recommended
Volare-Q5_K_M.gguf	Q5_K_M	5.723 GB	large, very low quality loss - recommended
Volare-Q6_K.gguf	Q6_K	6.529 GB	very large, extremely low quality loss
Volare-Q8_0.gguf	Q8_0	8.454 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/Volare-GGUF --include "Volare-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/Volare-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'