tensorblock/xLAM-1b-fc-r-GGUF

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Salesforce/xLAM-1b-fc-r - GGUF

This repo contains GGUF format model files for Salesforce/xLAM-1b-fc-r.

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

{system_prompt}### Instruction:
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### Response:

Filename	Quant type	File Size	Description
xLAM-1b-fc-r-Q2_K.gguf	Q2_K	0.521 GB	smallest, significant quality loss - not recommended for most purposes
xLAM-1b-fc-r-Q3_K_S.gguf	Q3_K_S	0.598 GB	very small, high quality loss
xLAM-1b-fc-r-Q3_K_M.gguf	Q3_K_M	0.656 GB	very small, high quality loss
xLAM-1b-fc-r-Q3_K_L.gguf	Q3_K_L	0.693 GB	small, substantial quality loss
xLAM-1b-fc-r-Q4_0.gguf	Q4_0	0.723 GB	legacy; small, very high quality loss - prefer using Q3_K_M
xLAM-1b-fc-r-Q4_K_S.gguf	Q4_K_S	0.758 GB	small, greater quality loss
xLAM-1b-fc-r-Q4_K_M.gguf	Q4_K_M	0.813 GB	medium, balanced quality - recommended
xLAM-1b-fc-r-Q5_0.gguf	Q5_0	0.872 GB	legacy; medium, balanced quality - prefer using Q4_K_M
xLAM-1b-fc-r-Q5_K_S.gguf	Q5_K_S	0.887 GB	large, low quality loss - recommended
xLAM-1b-fc-r-Q5_K_M.gguf	Q5_K_M	0.933 GB	large, very low quality loss - recommended
xLAM-1b-fc-r-Q6_K.gguf	Q6_K	1.091 GB	very large, extremely low quality loss
xLAM-1b-fc-r-Q8_0.gguf	Q8_0	1.334 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/xLAM-1b-fc-r-GGUF --include "xLAM-1b-fc-r-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/xLAM-1b-fc-r-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'