s1K_32b-GGUF

tensorblock/s1K_32b-GGUF

s1K_32b-GGUF is a machine learning model from tensorblock. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.

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Downloads · 30 days

1% of all-time downloads

All-time downloads

1.4K

Public

Repo size

247 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.gguf12.3 GB · 100%

At a glance

Library: transformers
License: apache-2.0
Access: Public
Created: Mar 6, 2025
Updated: Jan 27, 2026
SHA: 3e4c3bc5

Base models

mlfoundations-dev/s1K_32b

Model card

From the Hugging Face model README

mlfoundations-dev/s1K_32b - GGUF

This repo contains GGUF format model files for mlfoundations-dev/s1K_32b.

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

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Model file specification

Filename	Quant type	File Size	Description
s1K_32b-Q2_K.gguf	Q2_K	12.313 GB	smallest, significant quality loss - not recommended for most purposes
s1K_32b-Q3_K_S.gguf	Q3_K_S	14.392 GB	very small, high quality loss
s1K_32b-Q3_K_M.gguf	Q3_K_M	15.935 GB	very small, high quality loss
s1K_32b-Q3_K_L.gguf	Q3_K_L	17.247 GB	small, substantial quality loss
s1K_32b-Q4_0.gguf	Q4_0	18.640 GB	legacy; small, very high quality loss - prefer using Q3_K_M
s1K_32b-Q4_K_S.gguf	Q4_K_S	18.784 GB	small, greater quality loss
s1K_32b-Q4_K_M.gguf	Q4_K_M	19.851 GB	medium, balanced quality - recommended
s1K_32b-Q5_0.gguf	Q5_0	22.638 GB	legacy; medium, balanced quality - prefer using Q4_K_M
s1K_32b-Q5_K_S.gguf	Q5_K_S	22.638 GB	large, low quality loss - recommended
s1K_32b-Q5_K_M.gguf	Q5_K_M	23.262 GB	large, very low quality loss - recommended
s1K_32b-Q6_K.gguf	Q6_K	26.886 GB	very large, extremely low quality loss
s1K_32b-Q8_0.gguf	Q8_0	34.821 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/s1K_32b-GGUF --include "s1K_32b-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/s1K_32b-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'

Library: transformers
License: apache-2.0
Created: Mar 6, 2025
Updated: Jan 27, 2026