multilingual-e5-large-instruct
intfloat/multilingual-e5-large-instruct
Tracked by OpenModelStats since August 24, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 2.2M
- Total downloadsCumulative all-time download counter reported by the source platform.
- 31.4M
- 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.
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- LikesCommunity likes reported by the source platform.
- 633
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #16 among tracked Embeddings models.
- #198
- 64(down 64 places)this week
- Parameters
- 560M
- Last source update
- Jul 10, 2025
- It moved from #10 to #16 among tracked Embeddings models this week.
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
multilingual-e5-large-instruct is a embeddings model published by intfloat. OpenModelStats has tracked the model since Aug 24, 2026, most recently observing it 3h ago.
- Published
- Feb 8, 2024
- Last updated
- Jul 10, 2025
- Library
- sentence-transformers
- License
- mit
- Task
- Embeddings
- Parameters
- 559,890,432
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- —
sentence-transformersonnxsafetensorsxlm-robertafeature-extractionmtebtransformersmultilingualafamaras
Publisher
intfloatView publisher statistics →Similar models
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