D-JEPA: pusht-multi-geometry

Architecture: set_aligner.
Tensor count: 30.
Includes pretrained predictor weights: false.
Original checkpoint SHA256: d187c0efc194e6faa39007be835f3cca820b16fd95adfb1d7283f3d44d108b56.
Exported tensor-file SHA256: 801c92fc312b071fbc43b1e2153ae1ca25c08b1a3ae95110b38c7482e99c0fe3.

Load model.pt with torch.load(..., map_location="cpu", weights_only=True). Use the matching D-JEPA code profile and JSON configuration. Tensor values are unchanged; metadata and optimizer state have been separated.

Input width: 388. Gate: base_minus_refined, strict threshold 0.027186155319213864; quantization decimals: None. Candidate IDs and feature preprocessing must match the task profile.

Project license is selected by the authors before public upload.