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deepseek-ai/deepseek-coder-6.7b-base - GGUF

This repo contains GGUF format model files for deepseek-ai/deepseek-coder-6.7b-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-6.7b-base-Q2_K.gguf Q2_K 2.360 GB smallest, significant quality loss - not recommended for most purposes
deepseek-coder-6.7b-base-Q3_K_S.gguf Q3_K_S 2.747 GB very small, high quality loss
deepseek-coder-6.7b-base-Q3_K_M.gguf Q3_K_M 3.073 GB very small, high quality loss
deepseek-coder-6.7b-base-Q3_K_L.gguf Q3_K_L 3.352 GB small, substantial quality loss
deepseek-coder-6.7b-base-Q4_0.gguf Q4_0 3.565 GB legacy; small, very high quality loss - prefer using Q3_K_M
deepseek-coder-6.7b-base-Q4_K_S.gguf Q4_K_S 3.594 GB small, greater quality loss
deepseek-coder-6.7b-base-Q4_K_M.gguf Q4_K_M 3.802 GB medium, balanced quality - recommended
deepseek-coder-6.7b-base-Q5_0.gguf Q5_0 4.334 GB legacy; medium, balanced quality - prefer using Q4_K_M
deepseek-coder-6.7b-base-Q5_K_S.gguf Q5_K_S 4.334 GB large, low quality loss - recommended
deepseek-coder-6.7b-base-Q5_K_M.gguf Q5_K_M 4.457 GB large, very low quality loss - recommended
deepseek-coder-6.7b-base-Q6_K.gguf Q6_K 5.151 GB very large, extremely low quality loss
deepseek-coder-6.7b-base-Q8_0.gguf Q8_0 6.672 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-6.7b-base-GGUF --include "deepseek-coder-6.7b-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-6.7b-base-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
Downloads last month
298
GGUF
Model size
6.74B params
Architecture
llama

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Inference API
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