pythia-31m-simplepile-lite-2048-scratch-2e-GGUF

tensorblock/pythia-31m-simplepile-lite-2048-scratch-2e-GGUF

pythia-31m-simplepile-lite-2048-scratch-2e-GGUF is a text generation model from tensorblock. Use it when you need the model to write or continue text. The card lists the license as apache-2.0.

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Downloads · 30 days

137

8% of all-time downloads

All-time downloads

1.8K

Public

Repo size

282 MB

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Public

Hugging Face

Repo makeup

Click a slice to open those files.

.gguf18.4 MB · 100%

At a glance

Task: Text Generation
License: apache-2.0
Access: Public
Created: Nov 20, 2024
Updated: Jan 27, 2026
SHA: 36d611c3

Try a prompt

Base models

pszemraj/pythia-31m-simplepile-lite-2048-scratch-2e

Datasets

pszemraj/simplepile-lite

Model card

From the Hugging Face model README

pszemraj/pythia-31m-simplepile-lite-2048-scratch-2e - GGUF

This repo contains GGUF format model files for pszemraj/pythia-31m-simplepile-lite-2048-scratch-2e.

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

Our projects

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Model file specification

Filename	Quant type	File Size	Description
pythia-31m-simplepile-lite-2048-scratch-2e-Q2_K.gguf	Q2_K	0.017 GB	smallest, significant quality loss - not recommended for most purposes
pythia-31m-simplepile-lite-2048-scratch-2e-Q3_K_S.gguf	Q3_K_S	0.019 GB	very small, high quality loss
pythia-31m-simplepile-lite-2048-scratch-2e-Q3_K_M.gguf	Q3_K_M	0.019 GB	very small, high quality loss
pythia-31m-simplepile-lite-2048-scratch-2e-Q3_K_L.gguf	Q3_K_L	0.019 GB	small, substantial quality loss
pythia-31m-simplepile-lite-2048-scratch-2e-Q4_0.gguf	Q4_0	0.021 GB	legacy; small, very high quality loss - prefer using Q3_K_M
pythia-31m-simplepile-lite-2048-scratch-2e-Q4_K_S.gguf	Q4_K_S	0.021 GB	small, greater quality loss
pythia-31m-simplepile-lite-2048-scratch-2e-Q4_K_M.gguf	Q4_K_M	0.021 GB	medium, balanced quality - recommended
pythia-31m-simplepile-lite-2048-scratch-2e-Q5_0.gguf	Q5_0	0.023 GB	legacy; medium, balanced quality - prefer using Q4_K_M
pythia-31m-simplepile-lite-2048-scratch-2e-Q5_K_S.gguf	Q5_K_S	0.023 GB	large, low quality loss - recommended
pythia-31m-simplepile-lite-2048-scratch-2e-Q5_K_M.gguf	Q5_K_M	0.023 GB	large, very low quality loss - recommended
pythia-31m-simplepile-lite-2048-scratch-2e-Q6_K.gguf	Q6_K	0.025 GB	very large, extremely low quality loss
pythia-31m-simplepile-lite-2048-scratch-2e-Q8_0.gguf	Q8_0	0.032 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-31m-simplepile-lite-2048-scratch-2e-GGUF --include "pythia-31m-simplepile-lite-2048-scratch-2e-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-31m-simplepile-lite-2048-scratch-2e-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'

Task: Text Generation
License: apache-2.0
Created: Nov 20, 2024
Updated: Jan 27, 2026