siglip2-giant-opt-patch16-384
google/siglip2-giant-opt-patch16-384
Tracked by OpenModelStats since September 3, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 1.9M
- Total downloadsCumulative all-time download counter reported by the source platform.
- 9.5M
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +314.5K(increase)
- 3.7%(up) vs baseline
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
- —
- LikesCommunity likes reported by the source platform.
- 45
- +0 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #9 among tracked Zero-Shot Image Classification models.
- #199
- 18(down 18 places)this week
- Parameters
- 1.9B
- Last source update
- Feb 21, 2025
- MomentumOpenModelStats' composite rising-model signal (0–100): a percentile blend of absolute 7-day download gains, capped percentage growth, and likes gained. See Methodology.
- 70.4
- siglip2-giant-opt-patch16-384 gained 314.5K downloads during the last seven tracked days.
- It moved from #8 to #9 among tracked Zero-Shot Image Classification models this week.
Downloads over time
Daily gain between consecutive observationsLikes over time
Rank among tracked models
Lower is betterOverview
siglip2-giant-opt-patch16-384 is a zero-shot image classification model published by google. OpenModelStats has tracked the model since Sep 3, 2026, most recently observing it Oct 3, 2026.
- Published
- Feb 17, 2025
- Last updated
- Feb 21, 2025
- Library
- transformers
- License
- apache-2.0
- Task
- Zero-Shot Image Classification
- Parameters
- 1,871,885,426
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- 44.9K
transformerssafetensorssiglipvisionzero-shot-image-classificationarxiv:2502.14786arxiv:2303.15343arxiv:2209.06794license:apache-2.0endpoints_compatibleregion:us
Publisher
googleView publisher statistics →Similar models
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