Google Releases TimesFM-3: A State-of-the-Art Time Series Foundation Model

SumitGup · x · 2026-09-01

Google has released TimesFM-3, a 330M parameter time series foundation model capable of accurate multivariate forecasting in a single forward pass, eliminating the need for fine-tuning. Trained on over one trillion time points, it ranks first among foundation models on GIFT-Eval, FEV-Bench, and TIME benchmarks. The code is available on GitHub, and the model is hosted on Hugging Face.

Related event: Google Open-Sources TimesFM 3.0: 330M-Parameter Multivariate Zero-Shot Time Series Foundation Model(11 posts)→

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