bge-reranker-v2.5-gemma2-lightweight
BAAI/bge-reranker-v2.5-gemma2-lightweight
Tracked by OpenModelStats since September 2, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 162K
- Total downloadsCumulative all-time download counter reported by the source platform.
- 1.1M
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +39.9K(increase)
- 3.9%(up) vs baseline
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
- —
- LikesCommunity likes reported by the source platform.
- 56
- +0 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #47 among tracked Text Classification models.
- #1,817
- 20(up 20 places)this week
- Parameters
- 9.2B
- Last source update
- Sep 6, 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.
- 69.3
- bge-reranker-v2.5-gemma2-lightweight gained 39.9K downloads during the last seven tracked days.
- It moved from #49 to #47 among tracked Text Classification models this week.
Downloads over time
Daily gain between consecutive observationsLikes over time
Rank among tracked models
Lower is betterOverview
bge-reranker-v2.5-gemma2-lightweight is a text classification model published by BAAI. OpenModelStats has tracked the model since Sep 2, 2026, most recently observing it Oct 2, 2026.
- Published
- Jul 25, 2024
- Last updated
- Sep 6, 2024
- Library
- sentence-transformers
- License
- gemma
- Task
- Text Classification
- Parameters
- 9,241,831,424
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- 5,697
sentence-transformerssafetensorscost_wise_gemmatext-generationtransformerstext-classificationcustom_codemultilingualarxiv:2312.15503arxiv:2402.03216license:gemmaregion:us
Publisher
BAAIView publisher statistics →Similar models
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