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Google Research releases TimesFM-3, a zero-shot multivariate time-series forecasting foundation model

Model release ● Confirmed 93% confidence first seen

Google Research introduced TimesFM-3, a zero-shot foundation model for multivariate time-series forecasting that predicts multiple related series in a single forward pass and outputs probabilistic quantiles. The model was trained on 1T+ time points and released with code/weights on Hugging Face under a non-commercial, non-production license.

Google Google Research TimesFM-3 BitQuery GIFT-Eval Hugging Face MarkTechPost TIME leaderboard The New Stack TimesFM fev-bench

Source coverage

TimesFM-3: A zero-shot foundation model for multivariate forecasting Google Research Google’s new forecasting model beats everyone. You can’t use it at work (yet). The New Stack Google AI Releases TimesFM-3: A 330M Parameter Zero-Shot Foundation Model For Multivariate Time Series Forecasting MarkTechPost

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