tensorblock/YuE-s2-1B-general-GGUF

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m-a-p/YuE-s2-1B-general - GGUF

This repo contains GGUF format model files for m-a-p/YuE-s2-1B-general.

The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit ec7f3ac.

Filename	Quant type	File Size	Description
YuE-s2-1B-general-Q2_K.gguf	Q2_K	0.843 GB	smallest, significant quality loss - not recommended for most purposes
YuE-s2-1B-general-Q3_K_S.gguf	Q3_K_S	0.961 GB	very small, high quality loss
YuE-s2-1B-general-Q3_K_M.gguf	Q3_K_M	1.044 GB	very small, high quality loss
YuE-s2-1B-general-Q3_K_L.gguf	Q3_K_L	1.098 GB	small, substantial quality loss
YuE-s2-1B-general-Q4_0.gguf	Q4_0	1.151 GB	legacy; small, very high quality loss - prefer using Q3_K_M
YuE-s2-1B-general-Q4_K_S.gguf	Q4_K_S	1.201 GB	small, greater quality loss
YuE-s2-1B-general-Q4_K_M.gguf	Q4_K_M	1.281 GB	medium, balanced quality - recommended
YuE-s2-1B-general-Q5_0.gguf	Q5_0	1.375 GB	legacy; medium, balanced quality - prefer using Q4_K_M
YuE-s2-1B-general-Q5_K_S.gguf	Q5_K_S	1.397 GB	large, low quality loss - recommended
YuE-s2-1B-general-Q5_K_M.gguf	Q5_K_M	1.463 GB	large, very low quality loss - recommended
YuE-s2-1B-general-Q6_K.gguf	Q6_K	1.700 GB	very large, extremely low quality loss
YuE-s2-1B-general-Q8_0.gguf	Q8_0	2.088 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/YuE-s2-1B-general-GGUF --include "YuE-s2-1B-general-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/YuE-s2-1B-general-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'