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LIT
linjianman/LIT
LIT is a robotics model from linjianman. Use it for the robotics task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
Stage-1 and Stage-2 checkpoints for Breaking the Vision–Action Shortcut: Latent Interface Training for Generalizable Robot Foundation Models. Code and reproduction steps: https://github.com/MAGICLAB-NUS/LIT · project…
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Updated Sep 11, 2026
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At a glance
- Task
- Robotics
- License
- apache-2.0
- Access
- Public
- Created
- Sep 10, 2026
- Updated
- Sep 11, 2026
- SHA
- 765a2b2b
Model card
From the Hugging Face model README
LIT — Latent Interface Training checkpoints
Stage-1 and Stage-2 checkpoints for Breaking the Vision–Action Shortcut: Latent Interface Training for Generalizable Robot Foundation Models. Code and reproduction steps: https://github.com/MAGICLAB-NUS/LIT · project page: https://magiclab-nus.github.io/LIT/
| Directory | Backbone | What it is |
|---|---|---|
molmoact2/lit_stage2 | MolmoAct2 | final LIT model — Table I/II LIT; Table III last row |
pi05/lit_stage2 | π0.5 | final LIT model — Table I/II LIT |
fastwam/lit_stage2 | FAST-WAM | final LIT model — Table I/II LIT |
imagewam/lit_stage2 | ImageWAM (FLUX.2 Klein 4B) | final LIT model — Table I/II LIT |
*/lit_stage1 | same four backbones | Stage-1 action prior (no images; SE(3)-conditioned) that Stage 2 starts from — same file layout as the Stage 2 of that framework |
molmoact2/* and pi05/* are LeRobot policy directories — pass the directory to lerobot_eval --policy.path.
fastwam/* and imagewam/* hold model.pt + config.yaml + dataset_stats.json — pass
ckpt=<dir>/model.pt and EVALUATION.dataset_stats_path=<dir>/dataset_stats.json.
Baselines: MolmoAct2 and π0.5 baselines were fine-tuned by us on LIBERO (available on request);
FAST-WAM and ImageWAM baselines are the authors' released weights.
Real-robot demonstrations used in the paper (YAM bimanual, three tasks, LeRobot v3.0): https://huggingface.co/datasets/chinchinati/yam_bimanual_manipulation
Evaluate LIBERO-Plus with LIBERO_PLUS_FIX_LANG=1; Overall is the mean over the seven perturbation axes.
- Task
- Robotics
- License
- apache-2.0
- Created
- Sep 10, 2026
- Updated
- Sep 11, 2026