LeWAM-Simulation-Checkpoint
Collection
LeWAM v1 checkpoints for simulation tasks: OGBench scene, puzzle (3x3), cube, DexMimicGen drawer, and PushT. • 10 items • Updated
LeWAM Tool Hang
Goal-reaching checkpoint in the LeWAM v1 format. Files are stored at the repository root:
lewam_best.pt
lewam_config.json
Download both files into $STABLEWM_HOME/checkpoints/<run_name>/, then evaluate with the v1 code:
python scripts/eval_lewam.py --config-name toolhang policy=<run_name>
Dataset: LeWAM/lewam-toolhang.
The trained weights are preserved exactly. Strict model loading, attention masks, encoder output, goal-conditioned action prediction, and dynamics prediction were checked against the source checkpoint. No optimizer state is included.
SHA256 of lewam_best.pt: 9f9fbaa16dbd21354b2ff48c6b2fdbf3be66a17e4921b1bb1af3e187747b7140.
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support