TimesFM - Time Series Foundation Model

TimesFM is a pretrained time-series foundation model by Google Research designed for forecasting both multivariate and univariate series with native covariate support (past-only and past-and-future). It has achieved rank #1 overall on multiple benchmarks including fev-bench, TIME Benchmark, and GIFT-Eval. The latest version (3.0) improves upon previous releases with 200M parameters, extended 16k context length, optional quantile heads for long-range forecasts, and broader ecosystem integrations like BigQuery ML, Google Sheets, and Vertex AI Model Garden. Notably, while the source code is Apache-2.0 licensed, TimesFM 3.0 pretrained weights are under a separate non-commercial license prohibiting commercial or production use.