mistralai/Timestral-209M
time-series-forecasting model by mistralai
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Model card & documentation
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Timestral-209M Timestral is a family of time series foundation models for zero-shot forecasting, available in 5M, 28M, 123M, and 209M parameter versions. This repository contains the 209M checkpoint. Timestral supports univariate and multivariate forecasting, past-only and known-future covariates, and probabilistic predictions across 21 quantiles. It accepts up to 32,768 historical time steps and forecasts up to 1,024 steps in a single forward pass. We’re releasing the source code in our GitHub repository to make it easy to run Timestral and reproduce our benchmark results. Timestral-209M achieves state-of-the-art zero-shot accuracy across three major forecasting benchmarks: GIFT-Eval, TIME, and fev-bench. The Pareto-front plot below illustrates the trade-off between model size…
Read the full model card ↗ · Preview checked 2026-10-30T12:35:35.336Z
Inside the original model card — Document outline
- Model Details
- Benchmarks
- Timestral-209M compared with other models
- Results across the Timestral family
- Usage
- Install
- Run the model
- Additional Resources
- License
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Model overview
mistralai/Timestral-209M is a time-series-forecasting model repository published by mistralai on Hugging Face. The source reports the timestral library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- time-series-forecasting
- Library
- timestral
- Recent downloads (30 days)
- 17,551
- Cumulative likes
- 460
- Hugging Face trending score
- 74
- Reported safetensors parameters
- 209,312,256
- Architecture
- Not reported
- License
- other
- Access
- Not gated by Hugging Face
- Created
- 2026-10-14T08:52:36.000Z
- Last modified
- 2026-10-15T15:33:49.000Z
Compatibility and lineage
Language coverage was not reported.
Base-model lineage was not included.
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Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-11-01T06:49:30.141Z. Daily imports are snapshots, not real-time monitoring.
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