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Mistral releases four open-weight Timestral forecasting models

Mistral released four downloadable Timestral time-series models at 5M, 28M, 123M and 209M parameters. One checkpoint handles univariate and multivariate probabilistic forecasts with past and known-future covariates. The public 209M card lists 32,768 time steps of context, a 1,024-step forecast horizon and 21 quantiles. Its GIFT-Eval, TIME and fev-bench rankings are vendor-submitted and not independently reproduced.

Availability: downloadable Hugging Face weights; CPU and GPU inference

What this means for you

For engineers building capacity, demand or anomaly forecasts, Timestral provides a small unified baseline that can run on CPU or GPU. Open weights lower the trial barrier, but leaderboard claims and the modified MIT terms still need local review.

Evidence & related material

Technical details & scores
Models 5M, 28M, 123M, 209M parameters
Context 32,768 time steps; 1,024-step forecast horizon on 209M
Output 21 quantiles for probabilistic forecasting
Inputs univariate or multivariate series; past and known-future covariates
Benchmarks Mistral reports first place for 209M on GIFT-Eval, TIME and fev-bench; no independent reproduction in this run
Availability downloadable Hugging Face weights; CPU and GPU inference
License modified MIT with third-party-rights clause
Time Basis official announcement provides date only; no hourly publication time
Technical impact 3
Engineering value 4
Adoption signal 2
Maturity 3
Verification cost 2
Risk 2