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Browse files- .gitattributes +1 -0
- README.md +66 -0
- fuxi_s2s +3 -0
- fuxi_s2s.onnx +3 -0
.gitattributes
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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fuxi_s2s filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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license: cc-by-nc-nd-4.0
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library_name: onnxruntime
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tags:
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- climate
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- onnx
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- seasonal
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- subseasonal
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- weather
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---
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# FuXi-S2S ONNX checkpoint mirror
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This repository is an unchanged convenience mirror of the official FuXi-S2S
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ONNX checkpoint published by the FuXi Team. The authoritative release remains
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the [Zenodo record](https://zenodo.org/records/15718402), and model usage is
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documented in the [official FuXi-S2S repository](https://github.com/tpys/FuXi-S2S).
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The mirror exists so downstream integrations such as
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[NVIDIA Earth2Studio](https://github.com/NVIDIA/earth2studio) can retrieve the
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ONNX graph and its large external-data file reliably and pin an immutable
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revision.
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## Files and provenance
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The two files were extracted without modification from `model-1.0.tar` in the
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official Zenodo release. They must remain in the same directory because the
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ONNX graph refers to its external weights by the sibling filename
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`fuxi_s2s`.
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| File | Size (bytes) | SHA-256 |
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| --- | ---: | --- |
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| `fuxi_s2s.onnx` | 1,588,847 | `bcc3419ef698cb894b17fae2c5e40ded05d87ed8d4ba9f6342c9f0afff3c70f5` |
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| `fuxi_s2s` | 2,078,823,204 | `628d86076810d3d5c53a7a27f10e67b08051e2d2e5c9224a2df96cba8ecd8ea8` |
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The source archive is 2,080,419,840 bytes with MD5 checksum
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`17790f6bb7c3f83ce846d36f2339c4b3`, matching the checksum published by
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Zenodo. The separate `data.zip` validation sample is intentionally not
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mirrored here and remains available from the authoritative record.
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## License and use restrictions
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The checkpoint is licensed under
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[CC BY-NC-ND 4.0](https://creativecommons.org/licenses/by-nc-nd/4.0/).
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The official record states that it is intended for research use and that
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commercial or competition use requires prior permission from the authors.
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Those checkpoint terms apply independently of the license of any downstream
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integration.
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## Citation
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If you use this checkpoint, cite the original work:
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```bibtex
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@article{chen2024machine,
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title = {A machine learning model that outperforms conventional global subseasonal forecast models},
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author = {Chen, Lei and Zhong, Xiaohui and Li, Hao and Wu, Jie and Lu, Bo and Chen, Deliang and Xie, Shang-Ping and Wu, Libo and Chao, Qingchen and Lin, Chensen and others},
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journal = {Nature Communications},
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volume = {15},
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number = {6425},
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pages = {1--14},
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year = {2024},
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publisher = {Nature Publishing Group UK London},
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doi = {10.1038/s41467-024-50714-1}
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}
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```
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fuxi_s2s
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version https://git-lfs.github.com/spec/v1
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oid sha256:628d86076810d3d5c53a7a27f10e67b08051e2d2e5c9224a2df96cba8ecd8ea8
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size 2078823204
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fuxi_s2s.onnx
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version https://git-lfs.github.com/spec/v1
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oid sha256:bcc3419ef698cb894b17fae2c5e40ded05d87ed8d4ba9f6342c9f0afff3c70f5
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size 1588847
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