tensorblock/c4ai-command-r-v01-GGUF

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CohereForAI/c4ai-command-r-v01 - GGUF

This repo contains GGUF format model files for CohereForAI/c4ai-command-r-v01.

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

Run them on the TensorBlock client using your local machine ↗

Prompt template

<BOS_TOKEN><|START_OF_TURN_TOKEN|><|SYSTEM_TOKEN|>{system_prompt}<|END_OF_TURN_TOKEN|><|START_OF_TURN_TOKEN|><|USER_TOKEN|>{prompt}<|END_OF_TURN_TOKEN|><|START_OF_TURN_TOKEN|><|CHATBOT_TOKEN|>

Model file specification

Filename	Quant type	File Size	Description
c4ai-command-r-v01-Q2_K.gguf	Q2_K	13.817 GB	smallest, significant quality loss - not recommended for most purposes
c4ai-command-r-v01-Q3_K_S.gguf	Q3_K_S	15.862 GB	very small, high quality loss
c4ai-command-r-v01-Q3_K_M.gguf	Q3_K_M	17.618 GB	very small, high quality loss
c4ai-command-r-v01-Q3_K_L.gguf	Q3_K_L	19.149 GB	small, substantial quality loss
c4ai-command-r-v01-Q4_0.gguf	Q4_0	20.229 GB	legacy; small, very high quality loss - prefer using Q3_K_M
c4ai-command-r-v01-Q4_K_S.gguf	Q4_K_S	20.378 GB	small, greater quality loss
c4ai-command-r-v01-Q4_K_M.gguf	Q4_K_M	21.527 GB	medium, balanced quality - recommended
c4ai-command-r-v01-Q5_0.gguf	Q5_0	24.340 GB	legacy; medium, balanced quality - prefer using Q4_K_M
c4ai-command-r-v01-Q5_K_S.gguf	Q5_K_S	24.340 GB	large, low quality loss - recommended
c4ai-command-r-v01-Q5_K_M.gguf	Q5_K_M	25.008 GB	large, very low quality loss - recommended
c4ai-command-r-v01-Q6_K.gguf	Q6_K	28.707 GB	very large, extremely low quality loss
c4ai-command-r-v01-Q8_0.gguf	Q8_0	37.179 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/c4ai-command-r-v01-GGUF --include "c4ai-command-r-v01-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/c4ai-command-r-v01-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'