Lag-Llama
time-series-foundation-models/Lag-Llama
Tracked by OpenModelStats since September 6, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 0
- Total downloadsCumulative all-time download counter reported by the source platform.
- 0
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- 0
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
- —
- LikesCommunity likes reported by the source platform.
- 258
- +0 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #96 among tracked Time Series Forecasting models.
- #57,326
- 72(up 72 places)this week
- Parameters
- 2.4M
- Last source update
- May 14, 2024
- MomentumOpenModelStats' composite rising-model signal (0–100): a percentile blend of absolute 7-day download gains, capped percentage growth, and likes gained. See Methodology.
- 4.4
Downloads over time
Cumulative total downloads observed by OpenModelStatsLikes over time
Rank among tracked models
Lower is betterOverview
Lag-Llama is a time series forecasting model published by time-series-foundation-models. OpenModelStats has tracked the model since Sep 6, 2026, most recently observing it Oct 6, 2026.
- Published
- Feb 7, 2024
- Last updated
- May 14, 2024
- Library
- —
- License
- apache-2.0
- Task
- Time Series Forecasting
- Parameters
- 2,449,299
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- 0
safetensorstime seriesforecastingpretrained modelsfoundation modelstime series foundation modelstime-seriestime-series-forecastingarxiv:2310.08278license:apache-2.0region:us
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