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@@ -19,7 +19,7 @@ Task: Weather Forecasting
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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 & Transformers
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  Author: Paul Courneya (Harley-ml)
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  ## Description
@@ -30,6 +30,10 @@ However, this model was primarily trained to serve as a teacher for [Hweh-446k](
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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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+
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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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+
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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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  ```