Google releases TimesFM-3, a 330M multivariate zero-shot forecasting foundation model
AxSaucedo · x · 2026-09-10
Google Research releases TimesFM-3 (330M parameters, pretrained on 1T+ time points), its first time-series foundation model with native multivariate forecasting. Unlike TimesFM-2.5 and earlier (univariate only), it jointly predicts coevolving series with covariates in a single forward pass, claims state-of-the-art zero-shot results on major benchmarks, and is open-sourced on GitHub and Hugging Face.
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