| # FengWu — multi-modal encode–fuse–decode (PyTorch) | |
| [← Model zoo](../README.md) · [All model pages](README.md) · **Paper:** *Communications Earth & Environment* 2025, [doi:10.1038/s43247-025-02502-y](https://doi.org/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](https://github.com/GISWLH/WeatherAI/blob/main/docs/fengwu_specs.md), [fengwu_status.md](https://github.com/GISWLH/WeatherAI/blob/main/docs/fengwu_status.md). No official weights are published. | |
| ```python | |
| import torch | |
| from weatherai.models import FengWu_lite | |
| y = FengWu_lite()(torch.randn(1, 69, 64, 128)) # (1, 69, 64, 128) | |
| ``` | |