cross-encoder-mmarco-german-distilbert-base
ml6team/cross-encoder-mmarco-german-distilbert-base
Tracked by OpenModelStats since September 30, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 890
- Total downloadsCumulative all-time download counter reported by the source platform.
- 129.9K
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +205(increase)
- 0.2%(up) vs baseline
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
- —
- LikesCommunity likes reported by the source platform.
- 4
- +0 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #121 among tracked Text Ranking models.
- #34,741
- 575(up 575 places)this week
- Parameters
- 135M
- Last source update
- Apr 2, 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.
- 35.2
- cross-encoder-mmarco-german-distilbert-base gained 205 downloads during the last seven tracked days.
- It moved from #122 to #121 among tracked Text Ranking models this week.
Downloads over time
Cumulative total downloads observed by OpenModelStatsLikes over time
Rank among tracked models
Lower is betterOverview
cross-encoder-mmarco-german-distilbert-base is a text ranking model published by ml6team. OpenModelStats has tracked the model since Sep 30, 2026, most recently observing it Oct 7, 2026.
- Published
- Apr 26, 2022
- Last updated
- Apr 2, 2025
- Library
- sentence-transformers
- License
- apache-2.0
- Task
- Text Ranking
- Parameters
- 135,325,441
- Spaces
- 0
- Derivative models
- —
- Velocity 7D/day
- 29
sentence-transformerspytorchsafetensorsdistilbertcross-encodertext-rankingdelicense:apache-2.0text-embeddings-inferenceendpoints_compatibleregion:us
Publisher
ml6teamView publisher statistics →Similar models
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