Timestral ranks first on all three forecasting benchmarks
Timestral is a new family of time-series foundation models. Its largest model has 209M parameters and ranks first on GIFT-Eval, TIME, and fev-bench. The article says this beats the previous state of the art while using only two-thirds of its parameters. Time-series forecasting has mostly relied on models trained for one dataset at a time, so a pre-trained model that forecasts well on data it has never seen is a significant change.
Why pre-trained forecasting matters
Time series is one of the most common data types in enterprise, from sensor telemetry to observability metrics. Forecasts...

