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**Hweh-6M** is a **6-million-parameter LSTM model** trained to predict the next **12 hours of weather**, including temperature, humidity, pressure, precipitation, and more, using the previous **72 hours of weather context**.
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We recommend using this model as a backup to a weather API or for offline forecasting when internet access is unavailable.
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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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**Hweh-6M** is a **6-million-parameter LSTM model** trained to predict the next **12 hours of weather**, including temperature, humidity, pressure, precipitation, and more, using the previous **72 hours of weather context**.
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We recommend using this model as a backup to a weather API or for offline forecasting when internet access is unavailable.
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However, this model was primarily trained to serve as a teacher for [Hweh-446k](https://huggingface.co/Harley-ml/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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