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README.md
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Inputs: 72 hours time-series
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Outputs: 12h multivariate forecast
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Params: 6M
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Framework: PyTorch
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Author: Paul Courneya (Harley-ml)
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## Description
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We would also like to give a shoutout to [**Open-Meteo**](https://open-meteo.com/) for providing a **free-to-use weather forecasting API**.
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## Architecture
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The model uses a multitask LSTM setup:
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if __name__ == "__main__":
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predict()
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```
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Inputs: 72 hours time-series
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Outputs: 12h multivariate forecast
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Params: 6M
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Framework: PyTorch
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Author: Paul Courneya (Harley-ml)
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## Description
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We would also like to give a shoutout to [**Open-Meteo**](https://open-meteo.com/) for providing a **free-to-use weather forecasting API**.
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### Why “Hweh”?
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In Proto-Indo-European, the root ***h₂weh₁-** means “to blow.” We chose it as the name for a weather forecasting model because of its connection to wind and air.
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## Architecture
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The model uses a multitask LSTM setup:
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if __name__ == "__main__":
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predict()
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```
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## Citation
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```bibtex
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@misc{Hweh-6m,
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title = {Hweh-6M: A 6M-Parameter LSTM for Short-Term Multivariate Weather Forecasting},
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author = {Paul Courneya; Harley-ml},
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year = {2026},
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url = {https://huggingface.co/Harley-ml/Hweh-6M}
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}
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```
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