tensorblock/CodeLlama-34B-Python-fp16-GGUF

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TheBloke/CodeLlama-34B-Python-fp16 - GGUF

This repo contains GGUF format model files for TheBloke/CodeLlama-34B-Python-fp16.

The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b4011.

Filename	Quant type	File Size	Description
CodeLlama-34B-Python-fp16-Q2_K.gguf	Q2_K	11.647 GB	smallest, significant quality loss - not recommended for most purposes
CodeLlama-34B-Python-fp16-Q3_K_S.gguf	Q3_K_S	13.602 GB	very small, high quality loss
CodeLlama-34B-Python-fp16-Q3_K_M.gguf	Q3_K_M	15.186 GB	very small, high quality loss
CodeLlama-34B-Python-fp16-Q3_K_L.gguf	Q3_K_L	16.551 GB	small, substantial quality loss
CodeLlama-34B-Python-fp16-Q4_0.gguf	Q4_0	17.744 GB	legacy; small, very high quality loss - prefer using Q3_K_M
CodeLlama-34B-Python-fp16-Q4_K_S.gguf	Q4_K_S	17.873 GB	small, greater quality loss
CodeLlama-34B-Python-fp16-Q4_K_M.gguf	Q4_K_M	18.831 GB	medium, balanced quality - recommended
CodeLlama-34B-Python-fp16-Q5_0.gguf	Q5_0	21.641 GB	legacy; medium, balanced quality - prefer using Q4_K_M
CodeLlama-34B-Python-fp16-Q5_K_S.gguf	Q5_K_S	21.641 GB	large, low quality loss - recommended
CodeLlama-34B-Python-fp16-Q5_K_M.gguf	Q5_K_M	22.202 GB	large, very low quality loss - recommended
CodeLlama-34B-Python-fp16-Q6_K.gguf	Q6_K	25.783 GB	very large, extremely low quality loss
CodeLlama-34B-Python-fp16-Q8_0.gguf	Q8_0	33.394 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/CodeLlama-34B-Python-fp16-GGUF --include "CodeLlama-34B-Python-fp16-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/CodeLlama-34B-Python-fp16-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'