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FengWu — multi-modal encode–fuse–decode (PyTorch)

← Model zoo · All model pages · Paper: Communications Earth & Environment 2025, doi:10.1038/s43247-025-02502-y

FengWu follows the 2023 preprint architecture (separate encoders per variable group, a cross-modal fuser, decoders, optional uncertainty head); FengWu_lite is a CPU-friendly default (64 × 128, 69 channels). Architecture notes and status: fengwu_specs.md, fengwu_status.md. No official weights are published.

import torch
from weatherai.models import FengWu_lite
y = FengWu_lite()(torch.randn(1, 69, 64, 128))   # (1, 69, 64, 128)