Time series foundation models for zero-shot probabilistic forecasting.

We introduce Timestral, a family of four time series foundation models for probabilistic forecasting, with 5M, 28M, 123M, and 209M parameters. Timestral sets a new state of the art on GIFT-Eval, TIME, and fev-bench, where Timestral-209M and Timestral-123M take the top two places on every metric. We…

Introduction: As artificial intelligence transitions from generative text to specialized operational prediction, Mistral AI has introduced Timestral, a lightweight time-series model family optimized for high-efficiency enterprise forecasting. Ranging from 5 million to 209 million parameters, Timestral achieves state-of-the-art performance across temporal benchmarks while maintaining native CPU inference compatibility. In modern cyber defense and infrastructure engineering, leveraging high-speed temporal forecasting allows security teams to anticipate network traffic anomalies, resource exhaustion attacks, and telemetry threats with minimal compute overhead.

We introduce Timestral, a family of four time series foundation models for probabilistic forecasting, with 5M, 28M, 123M, and 209M parameters. Timestral sets a new state of the art on GIFT-Eval, TIME, and fev-bench, where Timestral-209M and Timestral-123M take the top two places on every metric. We…

Mistral launches Timestral, time-series models from 5 to 209 million parameters. They run on CPU and return probability ranges, useful for anticipating load spikes and anomalies in systems.

We introduce Timestral, a family of four time series foundation models for probabilistic forecasting, with 5M, 28M, 123M, and 209M parameters. Timestral sets a new state of the art on GIFT-Eval, TIME, and fev-bench, where Timestral-209M and Timestral-123M take the top two places on every metric. We…

We introduce Timestral, a family of four time series foundation models for probabilistic forecasting, with 5M, 28M, 123M, and 209M parameters. Timestral sets a new state of the art on GIFT-Eval, TIME, and fev-bench, where Timestral-209M and Timestral-123M take the top two places on every metric. We…

Unofficial native Rust inference for Timestral, powered by Candle. CPU and Metal support, quantile forecasts, and an HTTP API - pims/timestral-rs

Mistral AI releases Mistral Timestral, a family of compact time-series foundation models for zero-shot forecasting in four sizes under a modified MIT license.