paraphrase-multilingual-MiniLM-L12-v2
sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2
Tracked by OpenModelStats since August 31, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 48.2M
- Total downloadsCumulative all-time download counter reported by the source platform.
- 627.1M
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +11.3M(increase)
- 1.9%(up) vs baseline
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
- —
- LikesCommunity likes reported by the source platform.
- 1,416
- +13 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #2 among tracked Sentence Similarity models.
- #4
- 1(up 1 places)this week
- Parameters
- 118M
- Last source update
- Jan 28, 2026
- MomentumOpenModelStats' composite rising-model signal (0–100): a percentile blend of absolute 7-day download gains, capped percentage growth, and likes gained. See Methodology.
- 90.8
- paraphrase-multilingual-MiniLM-L12-v2 gained 11.3M downloads during the last seven tracked days.
- The model earned 13 new likes over the last seven tracked days.
Downloads over time
Rolling recent-window downloads as reportedLikes over time
Rank among tracked models
Lower is betterOverview
paraphrase-multilingual-MiniLM-L12-v2 is a sentence similarity model published by sentence-transformers. OpenModelStats has tracked the model since Aug 31, 2026, most recently observing it Sep 30, 2026.
- Published
- Mar 2, 2022
- Last updated
- Jan 28, 2026
- Library
- sentence-transformers
- License
- apache-2.0
- Task
- Sentence Similarity
- Parameters
- 117,654,272
- Spaces
- —
- Derivative models
- 11
- Velocity 7D/day
- 1.6M
sentence-transformerspytorchtfonnxsafetensorsopenvinobertfeature-extractionsentence-similaritytransformersmultilingualar
Model family
Based on base-model relationships reported by the source's metadata.
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