TinyCLIP-ViT-61M-32-Text-29M-LAION400M
wkcn/TinyCLIP-ViT-61M-32-Text-29M-LAION400M
Tracked by OpenModelStats since October 1, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 3,446
- Total downloadsCumulative all-time download counter reported by the source platform.
- 132.1K
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +738(increase)
- 0.6%(up) vs baseline
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
- —
- LikesCommunity likes reported by the source platform.
- 2
- +0 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #141 among tracked Zero-Shot Image Classification models.
- #14,781
- 4(down 4 places)this week
- Parameters
- 115M
- Last source update
- May 8, 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.
- 49.4
- TinyCLIP-ViT-61M-32-Text-29M-LAION400M gained 738 downloads during the last seven tracked days.
- It moved from #139 to #141 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
TinyCLIP-ViT-61M-32-Text-29M-LAION400M is a zero-shot image classification model published by wkcn. OpenModelStats has tracked the model since Oct 1, 2026, most recently observing it 16h ago.
- Published
- Dec 19, 2023
- Last updated
- May 8, 2024
- Library
- transformers
- License
- mit
- Task
- Zero-Shot Image Classification
- Parameters
- 115,382,271
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- 105
transformerspytorchsafetensorsclipzero-shot-image-classificationtinyclipdataset:laion/laion400mlicense:mitendpoints_compatibleregion:us
Publisher
wkcnView publisher statistics →Similar models
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