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zrgong
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fastwam

Robotics
PyTorch
robot-learning
imitation-learning
embodied-ai
libero
robotwin
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zrgong yuanty commited on
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Duplicate from yuanty/fastwam

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Co-authored-by: Tianyuan Yuan <yuanty@users.noreply.huggingface.co>

Files changed (6) hide show
  1. .gitattributes +35 -0
  2. README.md +59 -0
  3. libero_uncond_2cam224.pt +3 -0
  4. libero_uncond_2cam224_dataset_stats.json +1938 -0
  5. robotwin_uncond_3cam_384.pt +3 -0
  6. robotwin_uncond_3cam_384_dataset_stats.json +3396 -0
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README.md ADDED
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+ ---
2
+ pretty_name: FastWAM Checkpoints
3
+ library_name: pytorch
4
+ tags:
5
+ - robotics
6
+ - robot-learning
7
+ - imitation-learning
8
+ - embodied-ai
9
+ - libero
10
+ - robotwin
11
+ ---
12
+
13
+ # FastWAM Checkpoints
14
+
15
+ This repository releases the official FastWAM checkpoints for the open-source release of **Fast-WAM: Do World Action Models Need Test-time Future Imagination?**
16
+
17
+ This Hugging Face model repository contains:
18
+
19
+ ```text
20
+ README.md
21
+ libero_uncond_2cam224.pt
22
+ libero_uncond_2cam224_dataset_stats.json
23
+ robotwin_uncond_3cam_384.pt
24
+ robotwin_uncond_3cam_384_dataset_stats.json
25
+ ```
26
+
27
+ ## Summary
28
+
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+ - Project: FastWAM
30
+ - Framework: PyTorch
31
+ - Checkpoint count: 2
32
+ - Checkpoint format: `.pt`
33
+ - Supported benchmarks in this repo: `LIBERO`, `RoboTwin`
34
+
35
+ ## Project
36
+
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+ - Project page: https://yuantianyuan01.github.io/FastWAM/
38
+ - Paper: https://arxiv.org/abs/2603.16666
39
+ - Code repository: https://github.com/yuantianyuan01/FastWAM
40
+
41
+ ## Included checkpoints
42
+
43
+ - `libero_uncond_2cam224.pt`: checkpoint for `task=libero_uncond_2cam224_1e-4`
44
+ - `libero_uncond_2cam224_dataset_stats.json`: dataset stats for LIBERO evaluation
45
+ - `robotwin_uncond_3cam_384.pt`: checkpoint for `task=robotwin_uncond_3cam_384_1e-4`
46
+ - `robotwin_uncond_3cam_384_dataset_stats.json`: dataset stats for RoboTwin evaluation
47
+
48
+ ## Citation
49
+
50
+ If you use these checkpoints, please cite the Fast-WAM paper.
51
+
52
+ ```bibtex
53
+ @misc{yuan2026fastwam,
54
+ title={Fast-WAM: Do World Action Models Need Test-time Future Imagination?},
55
+ author={Tianyuan Yuan and Zibin Dong and Yicheng Liu and Hang Zhao},
56
+ year={2026},
57
+ note={arXiv preprint arXiv:2603.16666}
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+ }
59
+ ```
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