Google released TimesFM-3, a 330M-parameter time series foundation model with native multivariate forecasting (non-commercial license)

Excerpt

TimesFM-3 is the third generation of Google Research's zero-shot forecasting model, and the main change from 2.5 is that it handles multivariate inputs natively instead of being limited to a single series' own history. It supports multiple simultaneous targets, past-only covariates, and past-future covariates (things like holidays or planned promotions where future values are known), all without fine-tuning. Architecturally it's a decoder-only transformer with 20 layers at model dim 1280 and 16