Show the LIBERO videos in the model card gallery.
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- README.md +15 -18
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a648e545ad63d0d398ebf5735aa0e7426efdaf3fa55907c5ec50b72df6e273df stats/libero_goal.json
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49a50f0bf4470ede9f9127a4ad73455ddce369705c59b9b1ead545cca0f454e6 videos/libero-spatial.mp4
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a648e545ad63d0d398ebf5735aa0e7426efdaf3fa55907c5ec50b72df6e273df stats/libero_goal.json
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4eed60c361514c0f95f4ad24ec271972197e30463be07d82ec6c764cba3f6f83 stats/libero_object.json
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d2023cc6a5a33abd405c3a9f63b7fabc84df6c917798bd7080114bcbe9294d89 stats/libero_spatial.json
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ee1def4bcae6edf5bd09d155632ca7ddc9f9b20c7e8c7dfc17a1f916bd39bd14 README.md
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49a50f0bf4470ede9f9127a4ad73455ddce369705c59b9b1ead545cca0f454e6 videos/libero-spatial.mp4
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905ccc23cf99504e6f17f9fac2b5115896304be2d2dc0a9522f8886095c0548c videos/libero-object.mp4
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b5393c1ae185b1d05ad79edde9b5dc7b10543694b5c6be0d44084362e962e51d videos/libero-goal.mp4
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README.md
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- robotics
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- world-action-model
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- libero
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---
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# CAE-FastWAM
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A latent world-action policy for the [LIBERO](https://github.com/Lifelong-Robot-Learning/LIBERO) benchmark, fine-tuned by Advanced Micro Devices, Inc. from [Wan2.2-TI2V-5B](https://huggingface.co/Wan-AI/Wan2.2-TI2V-5B).
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Code: [AMD-AGI/faster-action-models](https://github.com/AMD-AGI/faster-action-models).
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Each 32-step action chunk is encoded as 8 latent tokens of width 16.
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## Examples
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LIBERO-Spatial
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<video controls src="https://huggingface.co/amd/CAE-FastWAM/resolve/main/videos/libero-spatial.mp4"></video>
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LIBERO-Object
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<video controls src="https://huggingface.co/amd/CAE-FastWAM/resolve/main/videos/libero-object.mp4"></video>
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LIBERO-Goal
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<video controls src="https://huggingface.co/amd/CAE-FastWAM/resolve/main/videos/libero-goal.mp4"></video>
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LIBERO-Long
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<video controls src="https://huggingface.co/amd/CAE-FastWAM/resolve/main/videos/libero-long.mp4"></video>
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## Files
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| File | Description |
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- robotics
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- world-action-model
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- libero
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widget:
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- text: LIBERO-Spatial
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output:
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url: videos/libero-spatial.mp4
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- text: LIBERO-Object
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output:
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url: videos/libero-object.mp4
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- text: LIBERO-Goal
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output:
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url: videos/libero-goal.mp4
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- text: LIBERO-Long
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output:
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url: videos/libero-long.mp4
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---
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# CAE-FastWAM
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<Gallery />
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A latent world-action policy for the [LIBERO](https://github.com/Lifelong-Robot-Learning/LIBERO) benchmark, fine-tuned by Advanced Micro Devices, Inc. from [Wan2.2-TI2V-5B](https://huggingface.co/Wan-AI/Wan2.2-TI2V-5B).
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Code: [AMD-AGI/faster-action-models](https://github.com/AMD-AGI/faster-action-models).
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Each 32-step action chunk is encoded as 8 latent tokens of width 16.
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## Files
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| File | Description |
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