8-bit Open on Hugging Face
Parameters
8.3B
Weights (est.)
≈ 9.4 GB
Mac memory (est.)
16 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-8bit --image photo.jpg --prompt "Describe this image"
Details
- Base model
- ByteDance-Seed/UI-TARS-1.5-7B (quantized)
- Vendor
- ByteDance-Seed
- Task
- Vision + text
- Quantisation
- 8-bit
- Licence
- apache-2.0
- Downloads
- 145 in the last 30 days · 840 all time · 0 likes
- Published
- 2026-05-31 · updated 2026-05-31 (5mo ago)
- Languages
- en
- Tags
- qwen2_5_vl, multimodal, gui-agent, ui-tars