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Briefing: Google's 200M-parameter time-series foundation model with 16k context

Editorial Staff · March 31, 2026 · 1 min read

Google's latest time-series foundation model is designed to enhance analytical accuracy through a substantial increase in parameters, totaling 200 million.

The model's extended context length of 16,000 allows for improved handling of larger datasets, which is critical for effective time-series analysis.

This open-source model is available on GitHub, providing developers with the tools to implement advanced time-series solutions in their projects.