opensearch-neural-sparse-encoding-doc-v3-gte
opensearch-project/opensearch-neural-sparse-encoding-doc-v3-gte
Tracked by OpenModelStats since August 24, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 3,070
- Total downloadsCumulative all-time download counter reported by the source platform.
- 94.8K
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +615(increase)
- 0.7%(up) vs baseline
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
- —
- LikesCommunity likes reported by the source platform.
- 18
- +0 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #401 among tracked Embeddings models.
- #15,814
- 55(down 55 places)this week
- Parameters
- 137M
- Last source update
- Jul 22, 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.
- 48.2
- opensearch-neural-sparse-encoding-doc-v3-gte gained 615 downloads during the last seven tracked days.
Downloads over time
Cumulative total downloads observed by OpenModelStatsLikes over time
Rank among tracked models
Lower is betterOverview
opensearch-neural-sparse-encoding-doc-v3-gte is a embeddings model published by opensearch-project. OpenModelStats has tracked the model since Aug 24, 2026, most recently observing it Oct 6, 2026.
- Published
- Jun 18, 2025
- Last updated
- Jul 22, 2025
- Library
- sentence-transformers
- License
- apache-2.0
- Task
- Embeddings
- Parameters
- 137,394,234
- Spaces
- —
- Derivative models
- 1
- Velocity 7D/day
- 88
sentence-transformerssafetensorsnewfill-masklearned sparseopensearchtransformersretrievalpassage-retrievaldocument-expansionbag-of-wordssparse-encoder
Model family
Based on base-model relationships reported by the source's metadata.
Derivative models
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