cross-encoder-mmarco-german-distilbert-base
ml6team/cross-encoder-mmarco-german-distilbert-base
Tracked by OpenModelStats since August 24, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 1,670
- Total downloadsCumulative all-time download counter reported by the source platform.
- 128.4K
- 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.
- 4
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #99 among tracked Text Ranking models.
- #19,414
- –this week
- Parameters
- 135M
- Last source update
- Apr 2, 2025
Downloads over time
Cumulative total downloads observed by OpenModelStatsNot 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
cross-encoder-mmarco-german-distilbert-base is a text ranking model published by ml6team. OpenModelStats has tracked the model since Aug 24, 2026, most recently observing it 7 min ago.
- Published
- Apr 26, 2022
- Last updated
- Apr 2, 2025
- Library
- sentence-transformers
- License
- apache-2.0
- Task
- Text Ranking
- Parameters
- 135,325,441
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- —
sentence-transformerspytorchsafetensorsdistilbertcross-encodertext-rankingdelicense:apache-2.0text-embeddings-inferenceendpoints_compatibleregion:us
Publisher
ml6teamView publisher statistics →Similar models
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