GTE-Qwen2 Embeddings

Open-source 7B-parameter text embedding model built on Qwen2 LLM for generating high-quality vector representations. Supports 32K token context with 3584-dimensional embeddings and bidirectional attention with instruction tuning. Best for multilingual semantic search, retrieval-augmented generation, and text similarity tasks requiring long-context support.