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sundial-base-128m

Time Series Forecasting

foundation models

pretrained models

generative models

time series foundation models

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 Sundial is a family of **generative** time series foundation models. The model can make zero-shot predictions for **point** and **probabilistic** forecasting. [[Slides]](https://cloud.tsinghua.edu.cn/f/8d526337afde465e87c9/) [[Poster]](https://cloud.tsinghua.edu.cn/f/cc2a156315e9453f99b3/) [[Intro (CN)]](https://mp.weixin.qq.com/s/y3sc2e2lmW1sqfnoK-ZdDA).
-Not only the mean or quantiles, you can estimate anything about the predictive distribution with raw generated samples.
 The base version is pre-trained on **1 trillion** time points with **128M** parameters. For more information, please refer to this [paper](https://arxiv.org/pdf/2502.00816).

 Sundial is a family of **generative** time series foundation models. The model can make zero-shot predictions for **point** and **probabilistic** forecasting. [[Slides]](https://cloud.tsinghua.edu.cn/f/8d526337afde465e87c9/) [[Poster]](https://cloud.tsinghua.edu.cn/f/cc2a156315e9453f99b3/) [[Intro (CN)]](https://mp.weixin.qq.com/s/y3sc2e2lmW1sqfnoK-ZdDA).
+Not only the mean or quantiles, you can get any statistical predictions with a set of generated samples.
 The base version is pre-trained on **1 trillion** time points with **128M** parameters. For more information, please refer to this [paper](https://arxiv.org/pdf/2502.00816).