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UI-TARS-1.5-7B-4bit

mlx-community/UI-TARS-1.5-7B-4bit
Vision + text · transformers
4-bit Open on Hugging Face
Parameters
8.3B
Weights (est.)
≈ 4.9 GB
Mac memory (est.)
8 GB+

Size is estimated from the parameter count and quantisation. Memory allows a fifth extra for context plus 2 GB for the system; long contexts need more.

Run it

With mlx-vlm on an Apple silicon Mac:

pip install mlx-vlmpython -m mlx_vlm.generate --model mlx-community/UI-TARS-1.5-7B-4bit --image photo.jpg --prompt "Describe this image"

Details

Base model
—
Vendor
—
Task
Vision + text
Quantisation
4-bit
Licence
apache-2.0
Downloads
964 in the last 30 days · 5.8K all time · 2 likes
Published
2025-04-25 · updated 2025-04-25 (1y ago)
Languages
en
Tags
qwen2_5_vl, multimodal