msmarco-distilbert-base-v4
sentence-transformers/msmarco-distilbert-base-v4
Tracked by OpenModelStats since September 8, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 80.7K
- Total downloadsCumulative all-time download counter reported by the source platform.
- 10.4M
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +22.7K(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.
- 12
- +0 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #126 among tracked Sentence Similarity models.
- #2,972
- 24(up 24 places)this week
- Parameters
- 66.4M
- Last source update
- Mar 6, 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.
- 58.4
- msmarco-distilbert-base-v4 gained 22.7K downloads during the last seven tracked days.
- It moved from #127 to #126 among tracked Sentence Similarity models this week.
Downloads over time
Cumulative total downloads observed by OpenModelStatsLikes over time
Rank among tracked models
Lower is betterOverview
msmarco-distilbert-base-v4 is a sentence similarity model published by sentence-transformers. OpenModelStats has tracked the model since Sep 8, 2026, most recently observing it 16h ago.
- Published
- Mar 2, 2022
- Last updated
- Mar 6, 2025
- Library
- sentence-transformers
- License
- apache-2.0
- Task
- Sentence Similarity
- Parameters
- 66,362,880
- Spaces
- —
- Derivative models
- 1
- Velocity 7D/day
- 3,240
sentence-transformerspytorchtfonnxsafetensorsopenvinodistilbertfeature-extractionsentence-similaritytransformersarxiv:1908.10084license:apache-2.0
Model family
Based on base-model relationships reported by the source's metadata.
Derivative models
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