SOTA sub-1B multilingual embedding model, distilled from a Qwen3-Embedding-4B teacher.
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Jina AI's fifth-generation 677M multilingual text embedding model, built on Qwen3-0.6B-Base and trained via distillation from Qwen3-Embedding-4B with task-specific contrastive losses and four LoRA adapters (retrieval, text-matching, classification, clustering). Supports 119+ languages and 32K-token contexts, with Matryoshka and binary-quantization-friendly outputs.
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