siddik-lanl/spus-pde-unet-9m-v2
AI model by siddik-lanl
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Model card & documentation
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SPUS PDE U-Net 9M v2 is a 9-million-parameter residual U-Net foundation model for learning the temporal evolution of partial differential equations. This model was pretrained independently using six fluid-dynamics datasets: The model performs one-step prediction and can be applied autoregressively to generate multiple future time steps. For the two-channel Navier–Stokes pretraining datasets, the remaining channels were padded to obtain the five-channel model input. Download model.py alongside the model…
Read the full model card ↗ · Preview checked 2026-10-31T03:00:10.908Z
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Model overview
siddik-lanl/spus-pde-unet-9m-v2 is a task-unspecified model repository published by siddik-lanl on Hugging Face. The source reports the pytorch library.
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Model facts
- Task
- Not reported
- Library
- pytorch
- Recent downloads (30 days)
- 0
- Cumulative likes
- 0
- Hugging Face trending score
- 0
- Reported safetensors parameters
- 9,019,093
- Architecture
- Not reported
- License
- bsd-3-clause
- Access
- Not gated by Hugging Face
- Created
- 2026-10-26T06:16:52.000Z
- Last modified
- 2026-10-26T06:24:42.000Z
Compatibility and lineage
Language coverage was not reported.
Base-model lineage was not included.
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Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-10-26T06:47:05.388Z. Daily imports are snapshots, not real-time monitoring.
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