CLIP-ViT-B-16-DataComp.XL-s13B-b90K
flavour/CLIP-ViT-B-16-DataComp.XL-s13B-b90K
Tracked by OpenModelStats since August 24, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 165.2K
- Total downloadsCumulative all-time download counter reported by the source platform.
- 472.3K
- 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.
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- LikesCommunity likes reported by the source platform.
- 1
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #31 among tracked Zero-Shot Image Classification models.
- #1,831
- –this week
- Parameters
- 150M
- Last source update
- Aug 12, 2023
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
CLIP-ViT-B-16-DataComp.XL-s13B-b90K is a zero-shot image classification model published by flavour. OpenModelStats has tracked the model since Aug 24, 2026, most recently observing it 10h ago.
- Published
- Jul 27, 2023
- Last updated
- Aug 12, 2023
- Library
- open_clip
- License
- mit
- Task
- Zero-Shot Image Classification
- Parameters
- 149,621,010
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- —
open_clippytorchsafetensorsclipzero-shot-image-classificationdataset:mlfoundations/datacomp_poolsarxiv:2304.14108license:mitregion:us
Publisher
flavourView publisher statistics →Similar models
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