quora-roberta-base
cross-encoder/quora-roberta-base
Tracked by OpenModelStats since September 3, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 3,565
- Total downloadsCumulative all-time download counter reported by the source platform.
- 417.9K
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +1,128(increase)
- 0.3%(up) vs baseline
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
- —
- LikesCommunity likes reported by the source platform.
- 1
- +0 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #79 among tracked Text Ranking models.
- #14,359
- 25(down 25 places)this week
- Parameters
- 125M
- Last source update
- Apr 11, 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.
- 50.4
- quora-roberta-base gained 1,128 downloads during the last seven tracked days.
Downloads over time
Cumulative total downloads observed by OpenModelStatsLikes over time
Rank among tracked models
Lower is betterOverview
quora-roberta-base is a text ranking model published by cross-encoder. OpenModelStats has tracked the model since Sep 3, 2026, most recently observing it Oct 3, 2026.
- Published
- Mar 2, 2022
- Last updated
- Apr 11, 2025
- Library
- sentence-transformers
- License
- apache-2.0
- Task
- Text Ranking
- Parameters
- 124,646,915
- Spaces
- —
- Derivative models
- 1
- Velocity 7D/day
- 161
sentence-transformerspytorchjaxonnxsafetensorsopenvinorobertatext-classificationtransformerstext-rankingendataset:sentence-transformers/quora-duplicates
Publisher
cross-encoderView publisher statistics →Derived from FacebookAI/roberta-base (reported by the source; parent not yet tracked).
Model family
Based on base-model relationships reported by the source's metadata.
Derivative models
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