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EleutherAI/pythia-12b - GGUF

This repo contains GGUF format model files for EleutherAI/pythia-12b.

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

Prompt template


Model file specification

Filename Quant type File Size Description
pythia-12b-Q2_K.gguf Q2_K 4.195 GB smallest, significant quality loss - not recommended for most purposes
pythia-12b-Q3_K_S.gguf Q3_K_S 4.845 GB very small, high quality loss
pythia-12b-Q3_K_M.gguf Q3_K_M 5.803 GB very small, high quality loss
pythia-12b-Q3_K_L.gguf Q3_K_L 6.328 GB small, substantial quality loss
pythia-12b-Q4_0.gguf Q4_0 6.277 GB legacy; small, very high quality loss - prefer using Q3_K_M
pythia-12b-Q4_K_S.gguf Q4_K_S 6.326 GB small, greater quality loss
pythia-12b-Q4_K_M.gguf Q4_K_M 7.060 GB medium, balanced quality - recommended
pythia-12b-Q5_0.gguf Q5_0 7.626 GB legacy; medium, balanced quality - prefer using Q4_K_M
pythia-12b-Q5_K_S.gguf Q5_K_S 7.626 GB large, low quality loss - recommended
pythia-12b-Q5_K_M.gguf Q5_K_M 8.210 GB large, very low quality loss - recommended
pythia-12b-Q6_K.gguf Q6_K 9.059 GB very large, extremely low quality loss
pythia-12b-Q8_0.gguf Q8_0 11.730 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/pythia-12b-GGUF --include "pythia-12b-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/pythia-12b-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
Downloads last month
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GGUF
Model size
11.8B params
Architecture
gptneox

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Inference API
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