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time-series foundation models

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Mistral releases four CPU-friendly Timestral forecasting models

Mistral released Timestral models at 5M, 28M, 123M and 209M parameters for probabilistic multivariate forecasting with past and known-future covariates, 32,768-step context and 21 output quantiles, plus Apache-2.0 inference code and modified-MIT weights.

Why it matters: The release gives forecasting teams a small, inspectable alternative to general-purpose language models and supports uncertainty rather than a single point estimate. Vendor leaderboard claims still need matched backtests because production series,…

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