Feedback and support: TensorBlock's Twitter/X, Telegram Group and Discord server
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
- 44
Model tree for tensorblock/deepseek-coder-6.7b-base-GGUF
Base model
deepseek-ai/deepseek-coder-6.7b-base