maple-preview
deepgrove/maple-preview
Tracked by OpenModelStats since August 24, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 2,570
- Total downloadsCumulative all-time download counter reported by the source platform.
- 10.2K
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +843(increase)
- 9.7%(up) vs baseline
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
- —
- LikesCommunity likes reported by the source platform.
- 423
- +15 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #4732 among tracked Text Generation models.
- #18,006
- 92(up 92 places)this week
- Parameters
- 20.2B
- Last source update
- Aug 4, 2026
- MomentumOpenModelStats' composite rising-model signal (0–100): a percentile blend of absolute 7-day download gains, capped percentage growth, and likes gained. See Methodology.
- 85.0
- maple-preview gained 843 downloads during the last seven tracked days.
- It moved from #4753 to #4732 among tracked Text Generation models this week.
- The model earned 15 new likes over the last seven tracked days.
Downloads over time
Cumulative total downloads observed by OpenModelStatsLikes over time
Rank among tracked models
Lower is betterOverview
maple-preview is a text generation model published by deepgrove. OpenModelStats has tracked the model since Aug 24, 2026, most recently observing it Oct 3, 2026.
- Published
- Aug 4, 2026
- Last updated
- Aug 4, 2026
- Library
- transformers
- License
- mit
- Task
- Text Generation
- Parameters
- 20,214,030,336
- Spaces
- —
- Derivative models
- 2
- Velocity 7D/day
- 120
transformerssafetensorstext-generationcausal-lmmixture-of-expertsreasoningternarycustom-codeconversationalcustom_codeenlicense:mit
Publisher
deepgroveView publisher statistics →Model family
Based on base-model relationships reported by the source's metadata.
Derivative models
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