| --- |
| 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 |
| @article{zhao2026faster, |
| title = {Faster-WAM: Efficient Inference-Time Future Conditioning for Robust World Action Models}, |
| author = {Zhao, Weiheng and Jiang, Haoyi and Shi, Xin and Liu, Liu and Huang, Fan and Su, Zhizhong and Sui, Wei and Wang, Xinggang}, |
| journal = {arXiv preprint arXiv:2608.04404}, |
| year = {2026} |
| } |
| ``` |
|
|
