tensorblock/COKAL-v1-70B-GGUF

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DopeorNope/COKAL-v1-70B - GGUF

This repo contains GGUF format model files for DopeorNope/COKAL-v1-70B.

The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b4242.

Run them on the TensorBlock client using your local machine ↗

Prompt template

Model file specification

Filename	Quant type	File Size	Description
COKAL-v1-70B-Q2_K.gguf	Q2_K	25.731 GB	smallest, significant quality loss - not recommended for most purposes
COKAL-v1-70B-Q3_K_S.gguf	Q3_K_S	30.212 GB	very small, high quality loss
COKAL-v1-70B-Q3_K_M.gguf	Q3_K_M	33.567 GB	very small, high quality loss
COKAL-v1-70B-Q3_K_L.gguf	Q3_K_L	36.440 GB	small, substantial quality loss
COKAL-v1-70B-Q4_0.gguf	Q4_0	39.196 GB	legacy; small, very high quality loss - prefer using Q3_K_M
COKAL-v1-70B-Q4_K_S.gguf	Q4_K_S	39.573 GB	small, greater quality loss
COKAL-v1-70B-Q4_K_M.gguf	Q4_K_M	41.747 GB	medium, balanced quality - recommended
COKAL-v1-70B-Q5_0.gguf	Q5_0	47.814 GB	legacy; medium, balanced quality - prefer using Q4_K_M
COKAL-v1-70B-Q5_K_S.gguf	Q5_K_S	47.814 GB	large, low quality loss - recommended
COKAL-v1-70B-Q5_K_M.gguf	Q5_K_M	49.107 GB	large, very low quality loss - recommended
COKAL-v1-70B-Q6_K	Q6_K	56.971 GB	very large, extremely low quality loss
COKAL-v1-70B-Q8_0	Q8_0	73.789 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/COKAL-v1-70B-GGUF --include "COKAL-v1-70B-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/COKAL-v1-70B-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'