smallcloudai_Refact-1_6-base-GGUF

tensorblock/smallcloudai_Refact-1_6-base-GGUF

smallcloudai_Refact-1_6-base-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 bigscience-openrail-m.

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Downloads · 30 days

5% of all-time downloads

All-time downloads

892

Public

Repo size

12.1 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.gguf624 MB · 100%

At a glance

Task: Text Generation
Library: transformers
License: bigscience-openrail-m
Access: Public
Created: May 8, 2025
Updated: Jan 27, 2026
SHA: bb7de612

Try a prompt

Base models

Datasets

Model card

From the Hugging Face model README

smallcloudai/Refact-1_6-base - GGUF

This repo contains GGUF format model files for smallcloudai/Refact-1_6-base.

The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b5165.

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Prompt template

Unable to determine prompt format automatically. Please check the original model repository for the correct prompt format.

Model file specification

Filename	Quant type	File Size	Description
Refact-1_6-base-Q2_K.gguf	Q2_K	0.624 GB	smallest, significant quality loss - not recommended for most purposes
Refact-1_6-base-Q3_K_S.gguf	Q3_K_S	0.723 GB	very small, high quality loss
Refact-1_6-base-Q3_K_M.gguf	Q3_K_M	0.793 GB	very small, high quality loss
Refact-1_6-base-Q3_K_L.gguf	Q3_K_L	0.854 GB	small, substantial quality loss
Refact-1_6-base-Q4_0.gguf	Q4_0	0.920 GB	legacy; small, very high quality loss - prefer using Q3_K_M
Refact-1_6-base-Q4_K_S.gguf	Q4_K_S	0.926 GB	small, greater quality loss
Refact-1_6-base-Q4_K_M.gguf	Q4_K_M	0.968 GB	medium, balanced quality - recommended
Refact-1_6-base-Q5_0.gguf	Q5_0	1.106 GB	legacy; medium, balanced quality - prefer using Q4_K_M
Refact-1_6-base-Q5_K_S.gguf	Q5_K_S	1.106 GB	large, low quality loss - recommended
Refact-1_6-base-Q5_K_M.gguf	Q5_K_M	1.131 GB	large, very low quality loss - recommended
Refact-1_6-base-Q6_K.gguf	Q6_K	1.303 GB	very large, extremely low quality loss
Refact-1_6-base-Q8_0.gguf	Q8_0	1.687 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/smallcloudai_Refact-1_6-base-GGUF --include "Refact-1_6-base-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/smallcloudai_Refact-1_6-base-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'

Task: Text Generation
Library: transformers
License: bigscience-openrail-m
Languages: en
Created: May 8, 2025
Updated: Jan 27, 2026