aloe-v2-dinov3-large-in1k-lp
rmaser/aloe-v2-dinov3-large-in1k-lp
Tracked by OpenModelStats since August 24, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 6,664
- Total downloadsCumulative all-time download counter reported by the source platform.
- 10.7K
- 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.
- 0
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #107 among tracked Image Feature Extraction models.
- #8,339
- –this week
- Parameters
- 306M
- Last source update
- Jul 26, 2026
Downloads over time
Rolling recent-window downloads as reportedNot 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
aloe-v2-dinov3-large-in1k-lp is a image feature extraction model published by rmaser. OpenModelStats has tracked the model since Aug 24, 2026, most recently observing it 2h ago.
- Published
- Jul 18, 2026
- Last updated
- Jul 26, 2026
- Library
- transformers
- License
- cc-by-nc-sa-4.0
- Task
- Image Feature Extraction
- Parameters
- 305,932,992
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- —
transformerssafetensorsaloe_dinov3_visionimage-classificationaloeb-cosinterpretabilityvisionimage-feature-extractioncustom_codelicense:cc-by-nc-sa-4.0region:us
Publisher
rmaserView publisher statistics →Similar models
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