mistralai/Timestral-5M
time-series-forecasting model by mistralai
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Model card & documentation
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Timestral-5M 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 5M checkpoint. Timestral-209M achieves state-of-the-art zero-shot accuracy across three major forecasting benchmarks: GIFT-Eval, TIME, and fev-bench. Smaller Timestral models offer a trade-off between model size and forecasting performance. All Timestreal models outperform every other model at the respective model…
Read the full model card ↗ · Preview checked 2026-10-30T11:27:28.650Z
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Model overview
mistralai/Timestral-5M 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)
- 3,315
- Cumulative likes
- 66
- Hugging Face trending score
- 62
- Reported safetensors parameters
- 5,208,960
- Architecture
- Not reported
- License
- other
- Access
- Not gated by Hugging Face
- Created
- 2026-10-14T13:41:13.000Z
- Last modified
- 2026-10-15T15:35:21.000Z
Compatibility and lineage
Language coverage was not reported.
Base-model lineage was not included.
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-10-22T06:44:02.555Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.