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  • GitHub - google-research timesfm: TimesFM (Time Series Foundation Model . . .
    TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting Paper: A decoder-only foundation model for time-series forecasting, ICML 2024
  • The TimesFM model | BigQuery | Google Cloud Documentation
    The Google Research TimesFM model is a foundation model for time-series forecasting that has been pre-trained on billions of time-points from many real-world datasets, so you can apply it to new
  • A decoder-only foundation model for time-series forecasting
    TimesFM is a forecasting model, pre-trained on a large time-series corpus of 100 billion real world time-points, that displays impressive zero-shot performance on a variety of public benchmarks from different domains and granularities
  • timesfm · PyPI
    TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting Paper: A decoder-only foundation model for time-series forecasting, to appear in ICML 2024
  • Using TimesFM | google-research timesfm | DeepWiki
    This document provides a practical guide to using TimesFM for time series forecasting It covers the three-phase workflow: loading a pretrained model, compiling with configuration, and generating forecasts
  • TimesFM Releases 2. 5 Time-Series Model Update
    Google Research today released TimesFM 2 5, an updated pretrained time-series foundation model that reduces parameter count to 200 million and expands context length to 16,000 The March 31, 2026 update also adds an optional 30M continuous quantile head for up to 1,000-step forecasting, updated inference APIs, and restored covariate (XReg) support Checkpoints are available on Hugging Face and
  • TimesFM: Googles Pre-trained Time Series Foundation Model
    Discover TimesFM by Google Research, a pre-trained foundation model for time series forecasting Learn how this AI model improves predictive accuracy
  • google timesfm-2. 5-200m-pytorch · Hugging Face
    TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting October 2, 2025: We changed the structure of the model to fuse QKV matrices into one for speed optimization Please reinstall the latest version of the timesfm package to reflect these changes
  • TimesFM: Using Google’s Foundation Model for Time Series . . . - Medium
    That’s the promise of TimesFM (Time-series Foundation Model), a new decoder-only foundation model for forecasting from Google Research This article will serve as your guide to understanding
  • Google’s TimesFM is Redefining Time-Series Forecasting
    The Future is Open Google Research’s TimesFM proves that the foundation model paradigm isn’t just for text and images By pre-training a specialized, decoder-only architecture on 100 billion diverse time-points, TimesFM delivers a lightweight, highly capable tool that democratizes advanced forecasting





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