Splade_PP_en_v2
prithivida/Splade_PP_en_v2
Tracked by OpenModelStats since September 26, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 5,278
- Total downloadsCumulative all-time download counter reported by the source platform.
- 406.8K
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +1,186(increase)
- 0.3%(up) vs baseline
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
- —
- LikesCommunity likes reported by the source platform.
- 32
- +0 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #331 among tracked Embeddings models.
- #11,533
- 163(up 163 places)this week
- Parameters
- —
- Last source update
- Jun 30, 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.
- 50.9
- Splade_PP_en_v2 gained 1,186 downloads during the last seven tracked days.
- It moved from #336 to #331 among tracked Embeddings models this week.
Downloads over time
Cumulative total downloads observed by OpenModelStatsLikes over time
Rank among tracked models
Lower is betterOverview
Splade_PP_en_v2 is a embeddings model published by prithivida. OpenModelStats has tracked the model since Sep 26, 2026, most recently observing it Oct 3, 2026.
- Published
- Mar 13, 2024
- Last updated
- Jun 30, 2025
- Library
- sentence-transformers
- License
- apache-2.0
- Task
- Embeddings
- Parameters
- —
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- 169
sentence-transformerspytorchonnxbertsplade++document-expansionsparse representationbag-of-wordspassage-retrievalknowledge-distillationdocument encodersparse-encoder
Similar models
| Model | DL 30D |
|---|---|
| bge-small-en-v1.5BAAI | 62.8M |
| bge-base-en-v1.5BAAI | 10.1M |
| bge-large-en-v1.5BAAI | 9.8M |
| Qwen3-Embedding-0.6BQwen | 9.6M |
| multilingual-e5-largeintfloat | 7.3M |
| granite-embedding-small-english-r2ibm-granite | 5.3M |