tensorblock/bloom-1b7-GGUF

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bigscience/bloom-1b7 - GGUF

This repo contains GGUF format model files for bigscience/bloom-1b7.

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
bloom-1b7-Q2_K.gguf	Q2_K	0.980 GB	smallest, significant quality loss - not recommended for most purposes
bloom-1b7-Q3_K_S.gguf	Q3_K_S	1.096 GB	very small, high quality loss
bloom-1b7-Q3_K_M.gguf	Q3_K_M	1.197 GB	very small, high quality loss
bloom-1b7-Q3_K_L.gguf	Q3_K_L	1.254 GB	small, substantial quality loss
bloom-1b7-Q4_0.gguf	Q4_0	1.309 GB	legacy; small, very high quality loss - prefer using Q3_K_M
bloom-1b7-Q4_K_S.gguf	Q4_K_S	1.315 GB	small, greater quality loss
bloom-1b7-Q4_K_M.gguf	Q4_K_M	1.392 GB	medium, balanced quality - recommended
bloom-1b7-Q5_0.gguf	Q5_0	1.509 GB	legacy; medium, balanced quality - prefer using Q4_K_M
bloom-1b7-Q5_K_S.gguf	Q5_K_S	1.509 GB	large, low quality loss - recommended
bloom-1b7-Q5_K_M.gguf	Q5_K_M	1.571 GB	large, very low quality loss - recommended
bloom-1b7-Q6_K.gguf	Q6_K	1.722 GB	very large, extremely low quality loss
bloom-1b7-Q8_0.gguf	Q8_0	2.226 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/bloom-1b7-GGUF --include "bloom-1b7-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/bloom-1b7-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'