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Datadog/Toto-Open-Base-1.0

Time Series Forecasting·Datadog· 34.5K· 141
transformers apache-2.0 Time Series Forecasting 151.3M params dataset:Salesforce/GiftEvalPretrain

Toto (Time Series Optimized Transformer for Observability) is a state-of-the-art time-series foundation model designed for multi-variate time series forecasting, emphasizing observability metrics. Toto efficiently handles high-dimensional, sparse, and non-stationary data commonly encountered in observability scenarios.

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# pull & run locally
pip install mlforge-sdk && mlforge pull Datadog/Toto-Open-Base-1.0

Model details

Task
Time Series Forecasting
Provider
Datadog
Framework
transformers
Parameters
151.3M
Size
1.1 GB
License
apache-2.0
Downloads
34.5K
Likes
141
Paper
arXiv:2505.14766
Updated
2026-05-14

About Datadog/Toto-Open-Base-1.0

Toto (Time Series Optimized Transformer for Observability) is a state-of-the-art time-series foundation model designed for multi-variate time series forecasting, emphasizing observability metrics. Toto efficiently handles high-dimensional, sparse, and non-stationary data commonly encountered in observability scenarios.

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