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Marine0506/cosmos2.5_DWM_remainder
cosmos2.5_DWM_remainder is a machine learning model from Marine0506. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
This public repository was created as a companion to Marine0506/cosmos2.5DWM. The first repository already contains the migration metadata, the dual-mode iter7000 and iter1000 checkpoints, the bidirectional teacher, t…
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Updated Sep 16, 2026
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From the Hugging Face model README
This public repository was created as a companion to Marine0506/cosmos2.5_DWM.
The first repository already contains the migration metadata, the dual-mode iter7000 and iter1000 checkpoints, the bidirectional teacher, the CameraNoise RGB/Semantic and Depth checkpoints, the pre-CameraNoise DepthRGB checkpoint, and the RGB-only baseline.
The original repository reached the Hugging Face per-repository file-count limit when the 20,000-file Depth cache was added. This repository therefore receives the remaining large assets and the latest continuation checkpoint. The caches are kept separate from the original archive so a new server can download them independently.
checkpoints/dual_mode_resume7k_to20k_iter_000020000/: the latest complete dual-mode Video Expert DCP after continuing the previous iter7000 run to total iter20000; the internal model/, optim/, scheduler/, trainer/ layout and hidden .metadata files are preserved.caches/depth_rgb_wan/train20k/: the aligned Depth Wan cache used by the Depth flow.caches/cameranoise/train20k/: the aligned CameraNoise cache used by the CameraNoise routes.metadata/: normalization manifests, selected clip indices, nuScenes 12 Hz metadata, run configuration and the continuation log.If a cache is uploaded as a tar archive, extract it into the directory named by the archive before training; do not change the files inside the archive. Depth and CameraNoise selected clip indices must remain aligned. Their content-addressed clip keys are generated from the same 33-frame RGB clips.
The latest checkpoint was initialized from the original dual-mode iter7000 DCP with load_training_state=true and trained to total iter20000 on GPU2. The original checkpoint remains in the first repository; this copy is the final continuation result.
External dependencies are intentionally not duplicated: Wan VAE/tokenizer, Cosmos-Reason1-7B, 12HZ-Segmentation, 12HZ-Depth, and official nuScenes files must be obtained from their original sources. See the migration manifest in the first repository.
Source repository: https://huggingface.co/Marine0506/cosmos2.5_DWM Remainder repository: https://huggingface.co/Marine0506/cosmos2.5_DWM_remainder