vi-distilled-msmarco-MiniLM-L12-cos-v5
thuannc/vi-distilled-msmarco-MiniLM-L12-cos-v5
Tracked by OpenModelStats since September 2, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 257
- Total downloadsCumulative all-time download counter reported by the source platform.
- 3,769
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +31(increase)
- 0.8%(up) vs baseline
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
- —
- LikesCommunity likes reported by the source platform.
- 0
- +0 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #817 among tracked Sentence Similarity models.
- #42,592
- 134(down 134 places)this week
- Parameters
- —
- Last source update
- May 4, 2022
- MomentumOpenModelStats' composite rising-model signal (0–100): a percentile blend of absolute 7-day download gains, capped percentage growth, and likes gained. See Methodology.
- 27.5
- vi-distilled-msmarco-MiniLM-L12-cos-v5 gained 31 downloads during the last seven tracked days.
- It moved from #818 to #817 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
vi-distilled-msmarco-MiniLM-L12-cos-v5 is a sentence similarity model published by thuannc. OpenModelStats has tracked the model since Sep 2, 2026, most recently observing it Oct 1, 2026.
- Published
- May 4, 2022
- Last updated
- May 4, 2022
- Library
- sentence-transformers
- License
- mit
- Task
- Sentence Similarity
- Parameters
- —
- Spaces
- 0
- Derivative models
- —
- Velocity 7D/day
- 4
sentence-transformerspytorchbertfeature-extractionsentence-similaritytransformersarxiv:2004.09813license:mittext-embeddings-inferenceendpoints_compatibleregion:us
Publisher
thuanncView publisher statistics →Similar models
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