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EleutherAI/pythia-1.4b-deduped-v0 - GGUF

This repo contains GGUF format model files for EleutherAI/pythia-1.4b-deduped-v0.

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-1.4b-deduped-v0-Q2_K.gguf Q2_K 0.531 GB smallest, significant quality loss - not recommended for most purposes
pythia-1.4b-deduped-v0-Q3_K_S.gguf Q3_K_S 0.607 GB very small, high quality loss
pythia-1.4b-deduped-v0-Q3_K_M.gguf Q3_K_M 0.709 GB very small, high quality loss
pythia-1.4b-deduped-v0-Q3_K_L.gguf Q3_K_L 0.766 GB small, substantial quality loss
pythia-1.4b-deduped-v0-Q4_0.gguf Q4_0 0.770 GB legacy; small, very high quality loss - prefer using Q3_K_M
pythia-1.4b-deduped-v0-Q4_K_S.gguf Q4_K_S 0.775 GB small, greater quality loss
pythia-1.4b-deduped-v0-Q4_K_M.gguf Q4_K_M 0.853 GB medium, balanced quality - recommended
pythia-1.4b-deduped-v0-Q5_0.gguf Q5_0 0.922 GB legacy; medium, balanced quality - prefer using Q4_K_M
pythia-1.4b-deduped-v0-Q5_K_S.gguf Q5_K_S 0.922 GB large, low quality loss - recommended
pythia-1.4b-deduped-v0-Q5_K_M.gguf Q5_K_M 0.984 GB large, very low quality loss - recommended
pythia-1.4b-deduped-v0-Q6_K.gguf Q6_K 1.084 GB very large, extremely low quality loss
pythia-1.4b-deduped-v0-Q8_0.gguf Q8_0 1.403 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-1.4b-deduped-v0-GGUF --include "pythia-1.4b-deduped-v0-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-1.4b-deduped-v0-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
Downloads last month
292
GGUF
Model size
1.41B params
Architecture
gptneox

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Dataset used to train tensorblock/pythia-1.4b-deduped-v0-GGUF