CLIP-convnext_base_w-laion2B-s13B-b82K-augreg
laion/CLIP-convnext_base_w-laion2B-s13B-b82K-augreg
Tracked by OpenModelStats since September 25, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 1.4M
- Total downloadsCumulative all-time download counter reported by the source platform.
- 12.4M
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +337K(increase)
- 2.9%(up) vs baseline
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
- —
- LikesCommunity likes reported by the source platform.
- 9
- +0 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #11 among tracked Zero-Shot Image Classification models.
- #276
- 21(up 21 places)this week
- Parameters
- —
- Last source update
- Apr 18, 2023
- MomentumOpenModelStats' composite rising-model signal (0–100): a percentile blend of absolute 7-day download gains, capped percentage growth, and likes gained. See Methodology.
- 69.3
- CLIP-convnext_base_w-laion2B-s13B-b82K-augreg gained 337K downloads during the last seven tracked days.
- It moved from #13 to #11 among tracked Zero-Shot Image Classification models this week.
Downloads over time
Cumulative total downloads observed by OpenModelStatsLikes over time
Rank among tracked models
Lower is betterOverview
CLIP-convnext_base_w-laion2B-s13B-b82K-augreg is a zero-shot image classification model published by laion. OpenModelStats has tracked the model since Sep 25, 2026, most recently observing it Oct 2, 2026.
- Published
- Jan 10, 2023
- Last updated
- Apr 18, 2023
- Library
- open_clip
- License
- mit
- Task
- Zero-Shot Image Classification
- Parameters
- —
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- 48.2K
open_cliptensorboardsafetensorsclipzero-shot-image-classificationarxiv:2201.03545arxiv:1910.04867license:mitregion:us
Publisher
laionView publisher statistics →Similar models
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