thuml
/

sundial-base-128m

Time Series Forecasting

foundation models

pretrained models

generative models

time series foundation models

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Yong99 commited on May 14

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@@ -33,9 +33,9 @@ Figure 1. Overall architecture of Sundial. The input time series is divided into
 We evaluate performance on the following benchmark:
-- [TSLib Dataset](https://cdn-uploads.huggingface.co/production/uploads/64fbe24a2d20ced4e91de38a/AXhZLVGR8Cnuxe8CVK4Fu.png).
 - [Gift-Eval](https://cdn-uploads.huggingface.co/production/uploads/64fbe24a2d20ced4e91de38a/AXhZLVGR8Cnuxe8CVK4Fu.png).
 - [FEV Leaderboard](https://cdn-uploads.huggingface.co/production/uploads/64fbe24a2d20ced4e91de38a/AXhZLVGR8Cnuxe8CVK4Fu.png).
 We evaluate inference speed with the following time series foundation models:

 We evaluate performance on the following benchmark:
 - [Gift-Eval](https://cdn-uploads.huggingface.co/production/uploads/64fbe24a2d20ced4e91de38a/AXhZLVGR8Cnuxe8CVK4Fu.png).
 - [FEV Leaderboard](https://cdn-uploads.huggingface.co/production/uploads/64fbe24a2d20ced4e91de38a/AXhZLVGR8Cnuxe8CVK4Fu.png).
+- [TSLib Dataset](https://cdn-uploads.huggingface.co/production/uploads/64fbe24a2d20ced4e91de38a/AXhZLVGR8Cnuxe8CVK4Fu.png).
 We evaluate inference speed with the following time series foundation models: