tensorblock/mamba-1.4b-hf-GGUF

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state-spaces/mamba-1.4b-hf - GGUF

This repo contains GGUF format model files for state-spaces/mamba-1.4b-hf.

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
mamba-1.4b-hf-Q2_K.gguf	Q2_K	0.489 GB	smallest, significant quality loss - not recommended for most purposes
mamba-1.4b-hf-Q3_K_S.gguf	Q3_K_S	0.607 GB	very small, high quality loss
mamba-1.4b-hf-Q3_K_M.gguf	Q3_K_M	0.607 GB	very small, high quality loss
mamba-1.4b-hf-Q3_K_L.gguf	Q3_K_L	0.607 GB	small, substantial quality loss
mamba-1.4b-hf-Q4_0.gguf	Q4_0	0.760 GB	legacy; small, very high quality loss - prefer using Q3_K_M
mamba-1.4b-hf-Q4_K_S.gguf	Q4_K_S	0.763 GB	small, greater quality loss
mamba-1.4b-hf-Q4_K_M.gguf	Q4_K_M	0.763 GB	medium, balanced quality - recommended
mamba-1.4b-hf-Q5_0.gguf	Q5_0	0.907 GB	legacy; medium, balanced quality - prefer using Q4_K_M
mamba-1.4b-hf-Q5_K_S.gguf	Q5_K_S	0.909 GB	large, low quality loss - recommended
mamba-1.4b-hf-Q5_K_M.gguf	Q5_K_M	0.909 GB	large, very low quality loss - recommended
mamba-1.4b-hf-Q6_K.gguf	Q6_K	1.069 GB	very large, extremely low quality loss
mamba-1.4b-hf-Q8_0.gguf	Q8_0	1.372 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/mamba-1.4b-hf-GGUF --include "mamba-1.4b-hf-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/mamba-1.4b-hf-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'