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library_name: pytorch
tags:
- motion-generation
- dance
---
# ACE Reverse Dance
Intermediate snapshots from the Reactive and Responsive runs started on 2026-11-11.
| Run | Published snapshot | Weights for inference |
| --- | --- | --- |
| Reactive | 7,605 optimizer updates, epoch 182 in progress | Online |
| Responsive | Epoch 1,800 complete, 12,600 optimizer updates | EMA |
Both files include online and EMA state dictionaries, the native normalizer, and snapshot configuration.
Use the matching ACE runtime and codecs from the training run. The Reactive normalizer requires the runtime's
`dataset` module when loading the native PyTorch checkpoint. Only load checkpoints from trusted sources.
Both runs were still training at export time. The reported losses are training losses. The run receipts
do not contain held-out metrics or an acceptance review of generated motion. See `snapshot-manifest.json`
for provenance and SHA-256 checksums.
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