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UI-TARS-1.5-7B-8bit
mlx-community/UI-TARS-1.5-7B-8bit
UI-TARS-1.5-7B-8bit is a image-text-to-text model from mlx-community. Use it for the image-text-to-text task on the model card, and read the license before you ship it in a product. It is set up for mlx. The card lists the license as apache-2.0.
8-bit MLX quantization of ByteDance-Seed/UI-TARS-1.5-7B, a Qwen2.5-VL vision-language GUI-agent model for grounded computer/browser control.
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9.5 GB on disk
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From the Hugging Face model README
UI-TARS-1.5-7B-8bit (MLX)
8-bit MLX quantization of ByteDance-Seed/UI-TARS-1.5-7B, a Qwen2.5-VL vision-language GUI-agent model for grounded computer/browser control.
- Quantization: 8-bit affine, group size 64 (~9.11 effective bits/weight)
- Architecture:
Qwen2_5_VLForConditionalGeneration(qwen2_5_vl) — ViT vision encoder + Qwen2.5 LM - Converted with:
mlx_vlm.convert(mlx-vlm)
Use with mlx-vlm
pip install mlx-vlm
python -m mlx_vlm generate \
--model mlx-community/UI-TARS-1.5-7B-8bit \
--image screenshot.png \
--prompt "Click the search box." \
--max-tokens 128
This 8-bit build complements the existing
mlx-community/UI-TARS-1.5-7B-4bit
and -6bit — higher fidelity at ~8.8 GB.
- Task
- Image-Text-to-Text
- Library
- mlx
- Type
- qwen2_5_vl
- License
- apache-2.0
- Languages
- en
- Created
- May 31, 2026
- Updated
- May 31, 2026