bf16 Open on Hugging Face
Parameters
2.2B
Weights (est.)
≈ 4.4 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/UGround-V1-2B-bf16 --image photo.jpg --prompt "Describe this image"
Details
- Base model
- osunlp/UGround-V1-2B (finetune)
- Vendor
- osunlp
- Task
- Vision + text
- Quantisation
- bf16
- Licence
- apache-2.0
- Downloads
- 22 in the last 30 days · 141 all time · 0 likes
- Published
- 2026-03-22 · updated 2026-03-22 (7mo ago)
- Languages
- en
- Tags
- qwen2_vl, mlx-vlm, apple-silicon, vision-language-model, uground, grounding, computer-use, agent, 2b, bf16