tensorblock/deepseek-coder-33b-base-GGUF

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deepseek-ai/deepseek-coder-33b-base - GGUF

This repo contains GGUF format model files for deepseek-ai/deepseek-coder-33b-base.

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
deepseek-coder-33b-base-Q2_K.gguf	Q2_K	11.507 GB	smallest, significant quality loss - not recommended for most purposes
deepseek-coder-33b-base-Q3_K_S.gguf	Q3_K_S	13.431 GB	very small, high quality loss
deepseek-coder-33b-base-Q3_K_M.gguf	Q3_K_M	14.987 GB	very small, high quality loss
deepseek-coder-33b-base-Q3_K_L.gguf	Q3_K_L	16.354 GB	small, substantial quality loss
deepseek-coder-33b-base-Q4_0.gguf	Q4_0	17.527 GB	legacy; small, very high quality loss - prefer using Q3_K_M
deepseek-coder-33b-base-Q4_K_S.gguf	Q4_K_S	17.642 GB	small, greater quality loss
deepseek-coder-33b-base-Q4_K_M.gguf	Q4_K_M	18.571 GB	medium, balanced quality - recommended
deepseek-coder-33b-base-Q5_0.gguf	Q5_0	21.381 GB	legacy; medium, balanced quality - prefer using Q4_K_M
deepseek-coder-33b-base-Q5_K_S.gguf	Q5_K_S	21.381 GB	large, low quality loss - recommended
deepseek-coder-33b-base-Q5_K_M.gguf	Q5_K_M	21.919 GB	large, very low quality loss - recommended
deepseek-coder-33b-base-Q6_K.gguf	Q6_K	25.477 GB	very large, extremely low quality loss
deepseek-coder-33b-base-Q8_0.gguf	Q8_0	32.997 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/deepseek-coder-33b-base-GGUF --include "deepseek-coder-33b-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/deepseek-coder-33b-base-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'