migtissera · First MLX build 10 Jul 2026

Tess-4-27B

MLX TextVision apache-2.0

A 27B parameter vision and text model from migtissera, with 9 MLX builds, from 4-bit to bf16.

Hugging Face
Parameters
27B
From Hugging Face
Quantisation
4-bit
Tess-4-27B-OptiQ-4bit
Memory needed
20 GB
Estimate, unified memory
Download
16.1 GB
Weights, estimated
Downloads
184
This build, last 30 days
Task
Vision and text
Text, Vision
MLX builds
9
On mlx-community
Devices
Mac
Apple silicon

Memory

Estimated from the size of the weights, plus a fifth for context and working memory and 2 GB for macOS and your apps. Long contexts need more.

Run it

Terminal · mlx-vlm
$ pip install -U mlx-vlm
$ python -m mlx_vlm.generate --model mlx-community/Tess-4-27B-OptiQ-4bit --image photo.jpg --prompt "Describe this image"

MLX builds

9 on mlx-community
Click a column to sort. Smallest size and most downloads are highlighted.
Tess-4-27B-OptiQ-4bit 4-bit 16.1 GB 20 GB 184
Tess-4-27B-nvfp4 4-bit 16.1 GB 20 GB 42
Tess-4-27B-4bit 4-bit 16.1 GB 20 GB 29
Tess-4-27B-mxfp4 MXFP4 16.1 GB 20 GB 25
Tess-4-27B-5bit 5-bit 19.4 GB 24 GB 19
Tess-4-27B-6bit 6-bit 22.8 GB 28 GB 27
Tess-4-27B-8bit 8-bit 29.5 GB 35 GB 27
Tess-4-27B-mxfp8 MXFP8 29.5 GB 35 GB 24
Tess-4-27B-bf16 bf16 54.7 GB 64 GB 28

Sizes are estimated from Hugging Face’s parameter counts and the quantisation. Downloads are for the last 30 days.