# Multi-document retrieval

This model is distilled from all-MiniLM-L12-v2, achieving nearly 2x faster inference speed while maintaining high accuracy on both CPU and GPU.

This is an Italian sentence embedding model based on sentence-transformers, which maps text to a 768-dimensional vector space, suitable for semantic search and clustering tasks.