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lewam-so101-pretrained
ehalicki/lewam-so101-pretrained
lewam-so101-pretrained is a robotics model from ehalicki. Use it for the robotics task on the model card, and read the license before you ship it in a product. It is set up for lerobot.
Joint video-action flow-matching model for robot control.
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At a glance
- Task
- Robotics
- Library
- lerobot
- Access
- Public
- Created
- Apr 7, 2026
- Updated
- Apr 8, 2026
- SHA
- 978254cc
Model card
From the Hugging Face model README
LeWAM
Joint video-action flow-matching model for robot control.
- Architecture: 12-layer DiT, dim 512
- Context frames: 32 @ 5 fps
- Future frames: 8
- Action dim: 6 @ 30 fps
- Cameras: image1, image2
Usage
With lerobot:
pip install "lerobot_policy_lewam @ git+https://github.com/ErykHalicki/lerobot_policy_lewam.git"
lerobot-record --policy.type lewam --policy.pretrained_path ehalicki/lewam-so101-pretrained
- Task
- Robotics
- Library
- lerobot
- Created
- Apr 7, 2026
- Updated
- Apr 8, 2026