s1-0.5B-GGUF

tensorblock/s1-0.5B-GGUF

s1-0.5B-GGUF is a text generation model from tensorblock. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as apache-2.0.

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Downloads · 30 days

3% of all-time downloads

All-time downloads

1.9K

Public

Repo size

6 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.gguf415 MB · 100%

At a glance

Task: Text Generation
Library: transformers
License: apache-2.0
Access: Public
Created: Mar 7, 2025
Updated: Jan 27, 2026
SHA: 6ab1a78c

Try a prompt

Base models

2stacks/s1-0.5B

Datasets

simplescaling/s1K

Model card

From the Hugging Face model README

2stacks/s1-0.5B - GGUF

This repo contains GGUF format model files for 2stacks/s1-0.5B.

The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b4823.

Our projects

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<|im_start|>system
{system_prompt}<|im_end|>
<|im_start|>user
{prompt}<|im_end|>
<|im_start|>assistant

Model file specification

Filename	Quant type	File Size	Description
s1-0.5B-Q2_K.gguf	Q2_K	0.415 GB	smallest, significant quality loss - not recommended for most purposes
s1-0.5B-Q3_K_S.gguf	Q3_K_S	0.415 GB	very small, high quality loss
s1-0.5B-Q3_K_M.gguf	Q3_K_M	0.432 GB	very small, high quality loss
s1-0.5B-Q3_K_L.gguf	Q3_K_L	0.446 GB	small, substantial quality loss
s1-0.5B-Q4_0.gguf	Q4_0	0.429 GB	legacy; small, very high quality loss - prefer using Q3_K_M
s1-0.5B-Q4_K_S.gguf	Q4_K_S	0.479 GB	small, greater quality loss
s1-0.5B-Q4_K_M.gguf	Q4_K_M	0.491 GB	medium, balanced quality - recommended
s1-0.5B-Q5_0.gguf	Q5_0	0.490 GB	legacy; medium, balanced quality - prefer using Q4_K_M
s1-0.5B-Q5_K_S.gguf	Q5_K_S	0.515 GB	large, low quality loss - recommended
s1-0.5B-Q5_K_M.gguf	Q5_K_M	0.522 GB	large, very low quality loss - recommended
s1-0.5B-Q6_K.gguf	Q6_K	0.650 GB	very large, extremely low quality loss
s1-0.5B-Q8_0.gguf	Q8_0	0.676 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/s1-0.5B-GGUF --include "s1-0.5B-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/s1-0.5B-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'

Task: Text Generation
Library: transformers
License: apache-2.0
Created: Mar 7, 2025
Updated: Jan 27, 2026