dinov2-with-registers-giant
facebook/dinov2-with-registers-giant
Tracked by OpenModelStats since September 7, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 18.1K
- Total downloadsCumulative all-time download counter reported by the source platform.
- 641.2K
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +4,655(increase)
- 0.7%(up) vs baseline
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
- —
- LikesCommunity likes reported by the source platform.
- 7
- +0 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #68 among tracked Image Feature Extraction models.
- #6,043
- 84(down 84 places)this week
- Parameters
- 1.1B
- Last source update
- Dec 23, 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.
- 58.5
- dinov2-with-registers-giant gained 4,655 downloads during the last seven tracked days.
- It moved from #66 to #68 among tracked Image Feature Extraction models this week.
Downloads over time
Cumulative total downloads observed by OpenModelStatsLikes over time
Rank among tracked models
Lower is betterOverview
dinov2-with-registers-giant is a image feature extraction model published by facebook. OpenModelStats has tracked the model since Sep 7, 2026, most recently observing it 27h ago.
- Published
- Dec 21, 2024
- Last updated
- Dec 23, 2024
- Library
- transformers
- License
- apache-2.0
- Task
- Image Feature Extraction
- Parameters
- 1,136,486,912
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- 665
transformerssafetensorsdinov2_with_registersimage-feature-extractiondinovisionarxiv:2309.16588arxiv:2010.11929arxiv:2304.07193arxiv:2111.06377license:apache-2.0region:us
Publisher
facebookView publisher statistics →Similar models
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