Recurrent-OLMo-2-0425-train-recurrence-16
smcleish/Recurrent-OLMo-2-0425-train-recurrence-16
Tracked by OpenModelStats since September 5, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 6,387
- Total downloadsCumulative all-time download counter reported by the source platform.
- 20K
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +784(increase)
- 4.2%(up) vs baseline
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
- —
- LikesCommunity likes reported by the source platform.
- 0
- +0 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #2672 among tracked Text Generation models.
- #10,370
- 3(down 3 places)this week
- Parameters
- 1.4B
- Last source update
- Nov 11, 2025
- MomentumOpenModelStats' composite rising-model signal (0–100): a percentile blend of absolute 7-day download gains, capped percentage growth, and likes gained. See Methodology.
- 58.1
- Recurrent-OLMo-2-0425-train-recurrence-16 gained 784 downloads during the last seven tracked days.
- It moved from #2665 to #2672 among tracked Text Generation models this week.
Downloads over time
Cumulative total downloads observed by OpenModelStatsLikes over time
Rank among tracked models
Lower is betterOverview
Recurrent-OLMo-2-0425-train-recurrence-16 is a text generation model published by smcleish. OpenModelStats has tracked the model since Sep 5, 2026, most recently observing it Oct 5, 2026.
- Published
- Nov 8, 2025
- Last updated
- Nov 11, 2025
- Library
- transformers
- License
- apache-2.0
- Task
- Text Generation
- Parameters
- 1,359,071,232
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- 112
transformerssafetensorshuginn_raventext-generationcausal-lmcustom_codeendataset:nvidia/Nemotron-CC-Math-v1arxiv:2511.07384license:apache-2.0region:us
Publisher
smcleishView publisher statistics →Similar models
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