How to use from the
Use from the
MLX library
# Download the model from the Hub
pip install huggingface_hub[hf_xet]

huggingface-cli download --local-dir yolo11-mlx waltgrace/yolo11-mlx

yolo11-mlx: YOLO11 on Apple MLX

Pre-converted weights for running YOLO11 detection models on Apple Silicon via MLX Metal GPU.

OmniParser (UI Element Detection)

Microsoft's OmniParser v2 — YOLO11m fine-tuned on 67K web screenshots for detecting interactive UI elements (buttons, links, inputs, icons).

File Size Description
omniparser_mlx.npz 80.6 MB MLX weights (float32)
omniparser_mlx.json metadata nc=1, class="icon"

Usage

Performance

~110ms inference on M4 (vs ~400ms ultralytics CPU).

Code

github.com/walter-grace/yolo11-mlx

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