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Improve model card: add robotics pipeline tag, license, and links to paper/code
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by nielsr HF Staff - opened
README.md
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---
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library_name: pytorch
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tags:
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- robotics
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- vla
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# LAWAM RoboTwin SFT Release
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This repository contains the LAWAM SFT checkpoint for RoboTwin experiments.
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## Dataset Notes
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- `final_model/pytorch_model.pt`: released LAWAM checkpoint.
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- `config.yaml`: training/configuration metadata for this release.
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- `dataset_statistics.json`: dataset statistics for the processed training data.
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---
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library_name: pytorch
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license: mit
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pipeline_tag: robotics
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tags:
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- robotics
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- vla
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# LAWAM RoboTwin SFT Release
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This repository contains the LAWAM SFT checkpoint for RoboTwin experiments, presented in the paper [LaWAM: Latent World Action Models for Efficient Dynamics-Aware Robot Policies](https://huggingface.co/papers/2606.15768).
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* **Project Page:** [LaWAM Project Page](https://rlinf.github.io/LaWAM/)
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* **Code:** [GitHub Repository](https://github.com/RLinf/LaWAM)
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## Dataset Notes
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- `final_model/pytorch_model.pt`: released LAWAM checkpoint.
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- `config.yaml`: training/configuration metadata for this release.
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- `dataset_statistics.json`: dataset statistics for the processed training data.
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## Citation
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If you find this work useful, please consider citing our paper:
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```bibtex
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@misc{chen2026lawam,
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title = {LaWAM: Latent World Action Models for Efficient Dynamics-Aware Robot Policies},
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author = {Chen, Jialei and Wang, Kai and Chen, Kang and Chen, Shuaihang and Gao, Feng and Tang, Wenhao Rect, Zhiyuan and Liu, Weilin and Yao, Zhuyu and Li, Boxun and Xu, Yuanbo and Yu, Chao},
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journal = {arXiv preprint arXiv:2606.15768},
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year = {2026},
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archiveprefix = {arXiv},
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primaryclass = {cs.RO},
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}
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```
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