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baichuan-inc/Baichuan-13B-Base - GGUF

This repo contains GGUF format model files for baichuan-inc/Baichuan-13B-Base.

The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b5165.

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Model file specification

Filename Quant type File Size Description
Baichuan-13B-Base-Q2_K.gguf Q2_K 5.387 GB smallest, significant quality loss - not recommended for most purposes
Baichuan-13B-Base-Q3_K_S.gguf Q3_K_S 6.203 GB very small, high quality loss
Baichuan-13B-Base-Q3_K_M.gguf Q3_K_M 6.848 GB very small, high quality loss
Baichuan-13B-Base-Q3_K_L.gguf Q3_K_L 7.270 GB small, substantial quality loss
Baichuan-13B-Base-Q4_0.gguf Q4_0 7.549 GB legacy; small, very high quality loss - prefer using Q3_K_M
Baichuan-13B-Base-Q4_K_S.gguf Q4_K_S 7.934 GB small, greater quality loss
Baichuan-13B-Base-Q4_K_M.gguf Q4_K_M 8.560 GB medium, balanced quality - recommended
Baichuan-13B-Base-Q5_0.gguf Q5_0 9.166 GB legacy; medium, balanced quality - prefer using Q4_K_M
Baichuan-13B-Base-Q5_K_S.gguf Q5_K_S 9.341 GB large, low quality loss - recommended
Baichuan-13B-Base-Q5_K_M.gguf Q5_K_M 9.849 GB large, very low quality loss - recommended
Baichuan-13B-Base-Q6_K.gguf Q6_K 11.563 GB very large, extremely low quality loss
Baichuan-13B-Base-Q8_0.gguf Q8_0 14.097 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/baichuan-inc_Baichuan-13B-Base-GGUF --include "Baichuan-13B-Base-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/baichuan-inc_Baichuan-13B-Base-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
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GGUF
Model size
13.3B params
Architecture
baichuan
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