mmlw-retrieval-e5-small
sdadas/mmlw-retrieval-e5-small
Tracked by OpenModelStats since August 24, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 808
- Total downloadsCumulative all-time download counter reported by the source platform.
- 5,629
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- —
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
- —
- LikesCommunity likes reported by the source platform.
- 1
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #575 among tracked Sentence Similarity models.
- #26,041
- –this week
- Parameters
- 118M
- Last source update
- Feb 12, 2026
Downloads over time
Cumulative total downloads observed by OpenModelStatsNot enough tracked history yet for a chart.
OpenModelStats began tracking this model on 2026-08-24. Charts appear as daily observations accumulate.
Likes over time
Not enough tracked history yet for a chart.
OpenModelStats began tracking this model on 2026-08-24. Charts appear as daily observations accumulate.
Rank among tracked models
Lower is betterNot enough tracked history yet for a chart.
OpenModelStats began tracking this model on 2026-08-24. Charts appear as daily observations accumulate.
Overview
mmlw-retrieval-e5-small is a sentence similarity model published by sdadas. OpenModelStats has tracked the model since Aug 24, 2026, most recently observing it 4h ago.
- Published
- Oct 18, 2023
- Last updated
- Feb 12, 2026
- Library
- sentence-transformers
- License
- apache-2.0
- Task
- Sentence Similarity
- Parameters
- 117,653,760
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- —
sentence-transformerspytorchsafetensorsbertfeature-extractionsentence-similaritytransformersinformation-retrievalpllicense:apache-2.0text-embeddings-inferenceendpoints_compatible
Publisher
sdadasView publisher statistics →Similar models
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