Pangu-Weather
HuaweiPangu-Weather is Huawei Cloud's 3D transformer for medium-range global weather forecasting, released as four ONNX checkpoints with lead times of 1, 3, 6, and 24 hours that are chained to build longer forecasts. The repository provides inference scripts and algorithm pseudocode; ECMWF has run the published models in its own charts.
The repository carries no LICENSE file, so GitHub reports none; the grant over the trained parameters is stated in the README instead. Verified 2026-09-10 via the repository README, the GitHub license endpoint, and the GitHub API.
Openness
2 high confidence- license
- CC-BY-NC-SA-4.0(non-commercial use only)
- weights
- open(four ungated ONNX checkpoints on Google Drive and Baidu Netdisk, roughly 1.1GB each)
- data
- documented-not-released(ERA5 over 39 years, about 60TB, with the lite variant's 2007-2017 subset spelled out
- code
- partial(CPU, GPU and iterative inference scripts plus algorithm pseudocode
The repository declares no license file and GitHub's license endpoint returns 404, so it would be wrong to read the code as permissive. The only grant is the README's, and it puts the trained parameters under CC BY-NC-SA 4.0 and forbids commercial use, which caps the score at restricted whatever else was published.
- https://raw.githubusercontent.com/198808xc/Pangu-Weather/master/README.md recorded 2026-09-10
"The trained parameters of Pangu-Weather were made available under the terms of the BY-NC-SA 4.0 license" and "The commercial use of these models is forbidden"; links four downloadable ONNX checkpoints; states training needs about 60TB of ERA5 and 3000 V100 GPU-days per model; and ships inference_cpu.py, inference_gpu.py, inference_iterative.py and pseudocode.py.
- https://api.github.com/repos/198808xc/Pangu-Weather/license recorded 2026-09-10
HTTP 404, "Not Found" - the repository carries no LICENSE file, so no repository-level grant exists to fall back on.
Adoption
2 medium confidenceWeights are hosted on Google Drive and Baidu Netdisk with no download count, so 1,395 GitHub stars are the last-resort reach signal; the repository was last pushed in January 2024.
- https://api.github.com/repos/198808xc/Pangu-Weather recorded 2026-09-10
stargazers_count: 1395; archived: false; fork: false; pushed_at: 2024-01-12.
Capability
2 high confidenceOne attribute, the temporal-scale span. Pseudocode is not an adaptation pathway, ERA5 and ECMWF HRES initial fields are one data system, and a deterministic forecast is a fixed target rather than a generated output.
- https://raw.githubusercontent.com/198808xc/Pangu-Weather/master/README.md recorded 2026-09-10
Publishes 1-hour, 3-hour, 6-hour and 24-hour models and an iterative script that combines them into a week of forecasts; supports ERA5 and ECMWF initial fields only; and provides pseudocode rather than training code.
Verified 2026-09-10