chronos-bolt-tiny
amazon/chronos-bolt-tiny
Tracked by OpenModelStats since August 24, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 1.3M
- Total downloadsCumulative all-time download counter reported by the source platform.
- 17.5M
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- —
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
- —
- LikesCommunity likes reported by the source platform.
- 29
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #11 among tracked Time Series Forecasting models.
- #354
- –this week
- Parameters
- 8.7M
- Last source update
- Nov 21, 2025
Downloads over time
Cumulative total downloads observed by OpenModelStatsNot enough tracked history yet for a chart.
OpenModelStats began tracking this model on 2026-08-24. Charts appear as daily observations accumulate.
Likes over time
Not enough tracked history yet for a chart.
OpenModelStats began tracking this model on 2026-08-24. Charts appear as daily observations accumulate.
Rank among tracked models
Lower is betterNot enough tracked history yet for a chart.
OpenModelStats began tracking this model on 2026-08-24. Charts appear as daily observations accumulate.
Overview
chronos-bolt-tiny is a time series forecasting model published by amazon. OpenModelStats has tracked the model since Aug 24, 2026, most recently observing it 5 min ago.
- Published
- Nov 25, 2024
- Last updated
- Nov 21, 2025
- Library
- chronos-forecasting
- License
- apache-2.0
- Task
- Time Series Forecasting
- Parameters
- 8,652,672
- Spaces
- 17
- Derivative models
- —
- Velocity 7D/day
- —
chronos-forecastingsafetensorst5time seriesforecastingpretrained modelsfoundation modelstime series foundation modelstime-seriestime-series-forecastingarxiv:1910.10683arxiv:2403.07815
Publisher
amazonView publisher statistics →Similar models
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