all-MiniLM-L6-v2
52
SCORE
A sentence-transformers model that maps sentences and paragraphs to a 384-dimensional dense vector space. Designed for tasks like semantic search, clustering, and sentence similarity. Based on MiniLM architecture with 6 layers for efficient inference.
Sources (1)
Hugging Face
248,690,085 DL
Score Breakdown
Traction
raw 0.00 · weight 35%
0.0pts
Novelty
0 days old · weight 20%
20.0pts
Source diversity
1 source · weight 10%
3.3pts
AI quality
raw 82.00 · weight 35%
28.7pts
Industry-standard embedding model with clear use case, efficient architecture, and proven utility for semantic search tasks.
Final Score52/100
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