MoGe-2 WebGPU weights

Pre-converted fp16 weights for moge-webgpu — a complete port of MoGe-2 (DINOv2 ViT-Large + ConvStack decoder, Ruicheng/moge-2-vitl-normal) from PyTorch to pure WebGPU compute shaders. No server, no WASM, no ONNX runtime.

Files

weights.bin (~660MB) — flat fp16 binary, all model tensors concatenated for direct WebGPU buffer upload
weights.json — tensor manifest (names, shapes, offsets)

Usage

The moge-webgpu app streams these weights automatically on first load. To reproduce the conversion from the original checkpoint:

python tools/convert_weights.py \
  --model Ruicheng/moge-2-vitl-normal \
  --output public/weights.bin \
  --dtype fp16

License

MIT, matching upstream MoGe-2. Original model by Microsoft Research (MoGe-2 paper).

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Paper for lyonsno/moge-webgpu

MoGe-2: Accurate Monocular Geometry with Metric Scale and Sharp Details

Paper • 2507.02546 • Published Jul 3, 2025