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Doctor-Shotgun/CalliopeDS-v2-L2-13B - GGUF

This repo contains GGUF format model files for Doctor-Shotgun/CalliopeDS-v2-L2-13B.

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

Prompt template


Model file specification

Filename Quant type File Size Description
CalliopeDS-v2-L2-13B-Q2_K.gguf Q2_K 4.854 GB smallest, significant quality loss - not recommended for most purposes
CalliopeDS-v2-L2-13B-Q3_K_S.gguf Q3_K_S 5.659 GB very small, high quality loss
CalliopeDS-v2-L2-13B-Q3_K_M.gguf Q3_K_M 6.338 GB very small, high quality loss
CalliopeDS-v2-L2-13B-Q3_K_L.gguf Q3_K_L 6.930 GB small, substantial quality loss
CalliopeDS-v2-L2-13B-Q4_0.gguf Q4_0 7.366 GB legacy; small, very high quality loss - prefer using Q3_K_M
CalliopeDS-v2-L2-13B-Q4_K_S.gguf Q4_K_S 7.423 GB small, greater quality loss
CalliopeDS-v2-L2-13B-Q4_K_M.gguf Q4_K_M 7.866 GB medium, balanced quality - recommended
CalliopeDS-v2-L2-13B-Q5_0.gguf Q5_0 8.972 GB legacy; medium, balanced quality - prefer using Q4_K_M
CalliopeDS-v2-L2-13B-Q5_K_S.gguf Q5_K_S 8.972 GB large, low quality loss - recommended
CalliopeDS-v2-L2-13B-Q5_K_M.gguf Q5_K_M 9.230 GB large, very low quality loss - recommended
CalliopeDS-v2-L2-13B-Q6_K.gguf Q6_K 10.679 GB very large, extremely low quality loss
CalliopeDS-v2-L2-13B-Q8_0.gguf Q8_0 13.831 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/CalliopeDS-v2-L2-13B-GGUF --include "CalliopeDS-v2-L2-13B-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/CalliopeDS-v2-L2-13B-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
Downloads last month
159
GGUF
Model size
13B params
Architecture
llama

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Inference Examples
Inference API (serverless) has been turned off for this model.

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