Toto-Open-Base-1.0
Datadog/Toto-Open-Base-1.0
Tracked by OpenModelStats since August 24, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 190.6K
- Total downloadsCumulative all-time download counter reported by the source platform.
- 10.1M
- 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.
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- LikesCommunity likes reported by the source platform.
- 142
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #26 among tracked Time Series Forecasting models.
- #1,629
- –this week
- Parameters
- 151M
- Last source update
- May 14, 2026
Downloads over time
Daily gain between consecutive observationsNot 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
Toto-Open-Base-1.0 is a time series forecasting model published by Datadog. OpenModelStats has tracked the model since Aug 24, 2026, most recently observing it 1 min ago.
- Published
- Apr 30, 2025
- Last updated
- May 14, 2026
- Library
- transformers
- License
- apache-2.0
- Task
- Time Series Forecasting
- Parameters
- 151,306,080
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- —
transformerssafetensorstime-series-forecastingfoundation modelspretrained modelstime series foundation modelstime seriestime-seriestimeseriesforecastingobservabilitydataset:Salesforce/GiftEvalPretrain
Publisher
DatadogView publisher statistics →Similar models
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