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athirdpath/CleverGirl-20b-Blended - GGUF

This repo contains GGUF format model files for athirdpath/CleverGirl-20b-Blended.

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

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## Prompt template

Model file specification

Filename Quant type File Size Description
CleverGirl-20b-Blended-Q2_K.gguf Q2_K 6.911 GB smallest, significant quality loss - not recommended for most purposes
CleverGirl-20b-Blended-Q3_K_S.gguf Q3_K_S 8.064 GB very small, high quality loss
CleverGirl-20b-Blended-Q3_K_M.gguf Q3_K_M 9.039 GB very small, high quality loss
CleverGirl-20b-Blended-Q3_K_L.gguf Q3_K_L 9.898 GB small, substantial quality loss
CleverGirl-20b-Blended-Q4_0.gguf Q4_0 10.517 GB legacy; small, very high quality loss - prefer using Q3_K_M
CleverGirl-20b-Blended-Q4_K_S.gguf Q4_K_S 10.586 GB small, greater quality loss
CleverGirl-20b-Blended-Q4_K_M.gguf Q4_K_M 11.215 GB medium, balanced quality - recommended
CleverGirl-20b-Blended-Q5_0.gguf Q5_0 12.825 GB legacy; medium, balanced quality - prefer using Q4_K_M
CleverGirl-20b-Blended-Q5_K_S.gguf Q5_K_S 12.825 GB large, low quality loss - recommended
CleverGirl-20b-Blended-Q5_K_M.gguf Q5_K_M 13.185 GB large, very low quality loss - recommended
CleverGirl-20b-Blended-Q6_K.gguf Q6_K 15.278 GB very large, extremely low quality loss
CleverGirl-20b-Blended-Q8_0.gguf Q8_0 19.787 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/CleverGirl-20b-Blended-GGUF --include "CleverGirl-20b-Blended-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/CleverGirl-20b-Blended-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
Downloads last month
31
GGUF
Model size
20B params
Architecture
llama
Hardware compatibility
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