Models
Google Research ships TimesFM-3 for multivariate forecasts
Google Research introduced TimesFM-3, a 330M-parameter time-series foundation model pretrained for zero-shot multivariate forecasting on more than a trillion time points. It jointly predicts related series with past and known-future covariates in one forward pass, and ranks top among pretrained foundation models on Gift-Eval, FEV-Bench, and Time. Weights are on GitHub and Hugging Face under a non-commercial license; BigQuery integration is coming — this is TimesFM, not Gemini and not the crypto exchange.