japanese-reranker-cross-encoder-small-v1
hotchpotch/japanese-reranker-cross-encoder-small-v1
Tracked by OpenModelStats since August 31, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 6,891
- Total downloadsCumulative all-time download counter reported by the source platform.
- 1.7M
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +1,075(increase)
- 0.1%(up) vs baseline
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
- —
- LikesCommunity likes reported by the source platform.
- 5
- +0 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #63 among tracked Text Ranking models.
- #9,912
- 936(up 936 places)this week
- Parameters
- 118M
- Last source update
- Jul 9, 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.
- 48.2
- japanese-reranker-cross-encoder-small-v1 gained 1,075 downloads during the last seven tracked days.
- It moved from #68 to #63 among tracked Text Ranking models this week.
Downloads over time
Rolling recent-window downloads as reportedLikes over time
Rank among tracked models
Lower is betterOverview
japanese-reranker-cross-encoder-small-v1 is a text ranking model published by hotchpotch. OpenModelStats has tracked the model since Aug 31, 2026, most recently observing it Sep 30, 2026.
- Published
- Mar 28, 2024
- Last updated
- Jul 9, 2025
- Library
- sentence-transformers
- License
- mit
- Task
- Text Ranking
- Parameters
- 117,641,089
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- 154
sentence-transformerssafetensorsxlm-robertatext-rankingjadataset:hotchpotch/JQaRAdataset:shunk031/JGLUEdataset:miracl/miracldataset:castorini/mr-tydidataset:unicamp-dl/mmarcolicense:mittext-embeddings-inference
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