Update model card

README.md

@@ -1,3 +1,48 @@
 ---
 license: mit
+pretty_name: Faster-WAM Checkpoints
+library_name: pytorch
+tags:
+- robotics
+- robot-learning
+- imitation-learning
+- embodied-ai
+- libero
+- robotwin
 ---
+
+# Faster-WAM Checkpoints
+
+This repository provides the official checkpoints for **[Faster-WAM: Efficient Inference-Time Future Conditioning for Robust World Action Models](https://arxiv.org/pdf/2608.04404)**.
+
+## Files
+
+```text
+libero/
+├── step_021700.pt
+└── dataset_stats.json
+robotwin/
+├── step_029355.pt
+└── dataset_stats.json
+```
+
+- `libero/step_021700.pt`: checkpoint for LIBERO and LIBERO-Plus evaluation.
+- `robotwin/step_029355.pt`: checkpoint for RoboTwin evaluation.
+- `dataset_stats.json`: dataset statistics required by the corresponding evaluation pipeline.
+
+## Links
+
+- Code: [https://github.com/hustvl/FasterWAM](https://github.com/hustvl/FasterWAM)
+- Paper: [https://arxiv.org/pdf/2608.04404](https://arxiv.org/pdf/2608.04404)
+
+## Citation
+
+```bibtex
+@misc{zhao2026fasterwam,
+  title={Faster-WAM: Efficient Inference-Time Future Conditioning for Robust World Action Models},
+  author={Weiheng Zhao and Haoyi Jiang and Xin Shi and Liu Liu and Zhizhong Su and Wei Sui and Fan Huang and Xinggang Wang},
+  year={2026},
+  eprint={2608.04404},
+  archivePrefix={arXiv}
+}
+```