{"apiVersion":"v1","taxonomyVersion":1,"generatedAt":"2026-10-29T14:01:49.396Z","data":{"id":"wsa_u9tkz9tipder","versionId":"ver_lretQM0MLXxZ","versionNumber":66,"title":"Timestral","maker":"Mistral","publisher":"Mistral","summary":"Timestral is a family of time-series foundation models available in 5M, 28M, 123M, and 209M parameter sizes. It produces probabilistic multivariate forecasts, supports past-only and known-future covariates, and can run on CPUs.","utility":"A person can use it to generate probabilistic forecasts from time series data, including data with missing values.","classifications":{"developmentType":"model","capability":["analysis"],"modality":["multimodal"],"access":["open weights"],"deployment":["on-premises"],"pricing":["unknown"],"targetUser":["developer","researcher","enterprise"]},"attributes":{"availability":"123M checkpoint in the repository","pricingModel":null,"deployment":"Inference with PyTorch on CPU or GPU","privacy":null,"licence":"Modified MIT license; must not be used to violate third-party rights"},"score":0.933,"confidence":"high","capped":false,"correctionState":"current","publicationState":"published","lowConfidence":false,"eligibleForDerivedResults":true,"publishedAt":"2026-07-15T00:00:00.000Z","collectedAt":"2026-10-15T16:30:32.313Z","lastVerifiedAt":"2026-10-29T00:08:40.326Z","versionEffectiveAt":"2026-10-29T00:08:40.326Z","taxonomyVersion":1,"rubricVersion":"evidence-rubric-1","jevVersion":"typesafe/jev-1.13-20260917","webUrl":"https://wowsuchai.withglint.app/records/wsa_u9tkz9tipder"},"nextCursor":null,"license":{"catalog":{"name":"CC BY 4.0","spdx":"CC-BY-4.0","url":"https://creativecommons.org/licenses/by/4.0/","attribution":"wowsuchai","attributionUrl":"https://wowsuchai.withglint.app","covers":["catalog metadata","classifications","generated summaries","feed event metadata"]},"excluded":{"covers":["source quotations","linked source content"],"terms":"Not licensed by wowsuchai. Source quotations and linked source content keep their original rights."}}}