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OpenBuddy/openbuddy-llemma-34b-v13.1 - GGUF

This repo contains GGUF format model files for OpenBuddy/openbuddy-llemma-34b-v13.1.

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
openbuddy-llemma-34b-v13.1-Q2_K.gguf Q2_K 12.559 GB smallest, significant quality loss - not recommended for most purposes
openbuddy-llemma-34b-v13.1-Q3_K_S.gguf Q3_K_S 14.663 GB very small, high quality loss
openbuddy-llemma-34b-v13.1-Q3_K_M.gguf Q3_K_M 16.364 GB very small, high quality loss
openbuddy-llemma-34b-v13.1-Q3_K_L.gguf Q3_K_L 17.829 GB small, substantial quality loss
openbuddy-llemma-34b-v13.1-Q4_0.gguf Q4_0 19.116 GB legacy; small, very high quality loss - prefer using Q3_K_M
openbuddy-llemma-34b-v13.1-Q4_K_S.gguf Q4_K_S 19.255 GB small, greater quality loss
openbuddy-llemma-34b-v13.1-Q4_K_M.gguf Q4_K_M 20.284 GB medium, balanced quality - recommended
openbuddy-llemma-34b-v13.1-Q5_0.gguf Q5_0 23.307 GB legacy; medium, balanced quality - prefer using Q4_K_M
openbuddy-llemma-34b-v13.1-Q5_K_S.gguf Q5_K_S 23.307 GB large, low quality loss - recommended
openbuddy-llemma-34b-v13.1-Q5_K_M.gguf Q5_K_M 23.908 GB large, very low quality loss - recommended
openbuddy-llemma-34b-v13.1-Q6_K.gguf Q6_K 27.760 GB very large, extremely low quality loss
openbuddy-llemma-34b-v13.1-Q8_0.gguf Q8_0 35.954 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/openbuddy-llemma-34b-v13.1-GGUF --include "openbuddy-llemma-34b-v13.1-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/openbuddy-llemma-34b-v13.1-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
Downloads last month
256
GGUF
Model size
33.8B params
Architecture
llama

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

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