Olmo-3-1025-7B
allenai/Olmo-3-1025-7B
Tracked by OpenModelStats since August 24, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 109K
- Total downloadsCumulative all-time download counter reported by the source platform.
- 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.
- —
- LikesCommunity likes reported by the source platform.
- 85
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #574 among tracked Text Generation models.
- #2,339
- 1573(down 1573 places)this week
- Parameters
- 7.3B
- Last source update
- Apr 21, 2026
- It moved from #230 to #574 among tracked Text Generation models this week.
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
Olmo-3-1025-7B is a text generation model published by allenai. OpenModelStats has tracked the model since Aug 24, 2026, most recently observing it 2h ago.
- Published
- Sep 12, 2025
- Last updated
- Apr 21, 2026
- Library
- transformers
- License
- apache-2.0
- Task
- Text Generation
- Parameters
- 7,298,011,136
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- —
transformerssafetensorsolmo3text-generationendataset:allenai/dolma3_mix-6T-1025license:apache-2.0endpoints_compatibleregion:us
Publisher
allenaiView publisher statistics →Similar models
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