Why This Matters
Google Research's TimesFM 2.5 introduces a more efficient, scalable time-series forecasting model with 200 million parameters and support for up to 16,000 context length, enabling more accurate long-term predictions. This advancement enhances the capabilities of AI-driven forecasting tools, benefiting industries reliant on large-scale data analysis and real-time predictions. The open-source nature encourages broader adoption and innovation within the tech community.
Key Takeaways
- TimesFM 2.5 reduces model size from 500M to 200M parameters for efficiency.
- Supports up to 16,000 context length for improved long-term forecasting.
- Includes new features like covariate support and continuous quantile forecasting.
TimesFM
TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.
This open version is not an officially supported Google product.
Latest Model Version: TimesFM 2.5
Archived Model Versions:
1.0 and 2.0: relevant code archived in the sub directory v1 . You can pip install timesfm==1.3.0 to install an older version of this package to load them.
Update - Oct. 29, 2025
Added back the covariate support through XReg for TimesFM 2.5.
Update - Sept. 15, 2025
TimesFM 2.5 is out!
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