TIME

Toto 2.0: Open-Weights Time Series Foundation Models Demonstrate Scaling Laws from 4M to 2.5B Parameters

Datadog releases Toto 2.0, a family of five open-weights time series forecasting models ranging from 4M to 2.5B parameters, demonstrating consistent forecast quality improvements with scale. The models achieve state-of-the-art results on three benchmarks: BOOM (observability), GIFT-Eval (general-purpose), and TIME (contamination-resistant). The release includes architectural details, a u-muP hyperparameter transfer pipeline, and all base checkpoints under Apache 2.0 license.