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Monday, 31 August 2026

Google AI Releases TimesFM-3: A 330M Parameter Zero-Shot Foundation Model For Multivariate Time Series Forecasting

MarkTechPost 1 month ago 18 ● 3 sources

Google Research released TimesFM-3, a 330M-parameter zero-shot foundation model for multivariate time series forecasting that predicts multiple related series in a single forward pass. It was pretrained on 1T+ time points and outputs 9 quantiles per horizon step. The model becomes usable for benchmarking with released code, but its weights are restricted to non-commercial, non-production use so it can’t be shipped behind a production forecasting API.

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Large Language Models Model Release Google

Google’s new forecasting model beats everyone. You can’t use it at work (yet).

The New Stack 1 month ago 35 ● 3 sources

Google launched TimesFM-3, a 330-million-parameter forecasting model for multivariate time-series prediction. It was trained on over 1 trillion real-world and synthetic time points and released on Hugging Face under a non-commercial license. As a result, it can be used for non-commercial, non-production work while commercial access will require paid routes, such as when BitQuery swaps to it for its AI.FORECAST command.

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Model Release Google Hugging Face

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