Mistral released its first time-series foundation models this morning. The family is called Timestral: four sizes from 5M to 209M parameters, probabilistic forecasts with 21 quantiles, context up to 32,768 steps, and a launch post claiming first place among pretrained zero-shot models on all three public forecasting benchmarks — GIFT-Eval, TIME, and fev-bench. The claim I cared about was the CPU one. From the announcement: On a standard server CPU with 8 threads, forecasting one day ahea...