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Datadog/Toto-2.0-1B

Time Series Forecasting·Datadog· 4.4K· 16
pytorch apache-2.0 Time Series Forecasting 1.0B params arxiv:2602.12147arxiv:2605.20119

Toto (Time Series Optimized Transformer for Observability) is a family of time series foundation models for multivariate forecasting developed by Datadog. Toto 2.0 is the current generation, featuring u-μP-scaled transformers ranging from 4m to 2.5B parameters, all trained from a single recipe. Forecast quality improves reliably with parameter count across the family.

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Model details

Task
Time Series Forecasting
Provider
Datadog
Framework
pytorch
Parameters
1.0B
Size
7.8 GB
License
apache-2.0
Downloads
4.4K
Likes
16
Paper
arXiv:2602.12147
Updated
2026-06-04

About Datadog/Toto-2.0-1B

Toto (Time Series Optimized Transformer for Observability) is a family of time series foundation models for multivariate forecasting developed by Datadog. Toto 2.0 is the current generation, featuring u-μP-scaled transformers ranging from 4m to 2.5B parameters, all trained from a single recipe. Forecast quality improves reliably with parameter count across the family.

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