# Zero-shot Forecasting
Toto Open Base 1.0
Apache-2.0
Toto is a foundational model designed for multivariate time series forecasting, particularly optimized for efficient processing of observability metrics
Climate Model
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Datadog
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Chattime 1 7B Chat
Apache-2.0
ChatTime is a multimodal foundation model that unifies time series and text processing, featuring zero-shot forecasting capabilities and supporting dual-modal input/output for both time series and text.
Multimodal Fusion
Transformers

C
ChengsenWang
1,621
2
MOMENT 1 Large
MIT
MOMENT is a series of general-purpose time series analysis foundation models that support multiple time series analysis tasks, offering out-of-the-box effectiveness and performance enhancement through fine-tuning.
Materials Science
Transformers

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AutonLab
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