Mobile-O-0.5B is a compact unified vision–language–diffusion model that performs both multimodal understanding (VQA, OCR, reasoning) and image generation within a single architecture, designed for mobile and edge deployment.
1from huggingface_hub import snapshot_download
2
3snapshot_download(
4 repo_id="Amshaker/Mobile-O-0.5B",
5 repo_type="model",
6 local_dir="checkpoints",
7 allow_patterns=["final_merged_model_23620/*"]
8)
1python infer_und.py \
2 --model_path checkpoints/final_merged_model_23620/ \
3 --image_path assets/cute_cat.png \
4 --prompt "What is in the image?"
1python infer_gen.py \
2 --model_path checkpoints/final_merged_model_23620/ \
3 --prompt "A vibrant tropical rainforest scene with a scarlet macaw perched on a moss-covered branch"
1python infer_edit.py \
2 --model_path checkpoints/final_merged_model_23620/ \
3 --image_path assets/cute_cat.png \
4 --prompt "Make the cat wear a hat"
1@article{shaker2026mobileo,
2 title={Mobile-O: Unified Multimodal Understanding and Generation on Mobile Device},
3 author={Shaker, Abdelrahman and Heakl, Ahmed and Muhammad, Jaseel and Thawkar, Ritesh and Thawakar, Omkar and Li, Senmao and Cholakkal, Hisham and Reid, Ian and Xing, Eric P. and Khan, Salman and Khan, Fahad Shahbaz},
4 journal={arXiv preprint arXiv:2602.20161},
5 year={2026}
6}
Released under
CC BY-NC 4.0. For research purposes only.
