{"schema_version":"onlylabs.public_signal.v1","title":"Mistral AI Repo: mistralai/timestral","description":"Mistral AI repo signal with public source context, captured evidence pages, related signals, and data-business radar classification.","url":"https://onlylabs.fyi/signals/a1f71970-c876-4488-b946-0d8d47ed3edb","json_url":"https://onlylabs.fyi/signals/a1f71970-c876-4488-b946-0d8d47ed3edb/signal.json","generated_at":"2026-10-24T20:20:39.611Z","evidence_latest_fetched_at":"2026-10-16T07:04:09.222767+00:00","signal_first_seen_at":"2026-10-16T07:00:31.735185+00:00","org":{"slug":"mistral","name":"Mistral AI","category":"frontier-lab","category_label":"Frontier lab","dossier_url":"https://onlylabs.fyi/labs/mistral","dossier_json_url":"https://onlylabs.fyi/labs/mistral/dossier.json"},"related_urls":{"signal":"https://onlylabs.fyi/signals/a1f71970-c876-4488-b946-0d8d47ed3edb","signal_json":"https://onlylabs.fyi/signals/a1f71970-c876-4488-b946-0d8d47ed3edb/signal.json","source":"https://github.com/mistralai/timestral","lab_dossier":"https://onlylabs.fyi/labs/mistral","lab_dossier_json":"https://onlylabs.fyi/labs/mistral/dossier.json","analysis":"https://onlylabs.fyi/analysis/mistral","analysis_json":"https://onlylabs.fyi/analysis/mistral/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/mistral/evidence.json","category":"https://onlylabs.fyi/frontier","category_json":"https://onlylabs.fyi/frontier.json","category_feed":"https://onlylabs.fyi/frontier/feed.xml","category_signals_json":"https://onlylabs.fyi/signals.json","topic":null,"topic_signals_json":null,"topic_feed":null,"data_business":null},"answer_pack":{"answer":"Mistral AI published mistralai/timestral (Python). 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This repository signal exposes tooling, eval, infrastructure, or model-adjacent work before it may appear in a launch post. 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This repository provides standalone inference for Timestral models. It needs only PyTorch, NumPy, `safetensors` and `huggingface_hub`, and runs on CPU or GPU. > **License:** the code in this repository is licensed under [Apache 2.0](LICENSE). The Timestral model weights are released separately on the Hugging Face Hub under a [Modified MIT license](https://huggingface.co/mistralai/Timestral-209M/blob/main/LICENSE). See [License](#license). Highlights At launch, Timestral-209M ranked first among pretrained and zero-shot models on the three main public forecasting benchmarks: - 🥇 **GIFT-Eval**: #1 among pretrained and zero-shot models. - 🥇 **TIME**: #1 across 98 tasks. - 🥇 **fev-bench**: #1 across 100 tasks. 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