Top-tier 7B retrieval embedder from Linq AI Research using refined synthetic data and hard-negative mining.
A workable 7.1B-parameter dense embedding model from Linq AI Research. Treat the modality benchmarks above as the leading indicator of fit — composite scoring across modalities is still maturing.
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A 7B text embedding model built on top of E5-Mistral-7B-Instruct and Mistral-7B-v0.1 by Linq AI Research, focused on advanced data refinement: sophisticated data crafting, filtering, and task-specific hard-negative mining via teacher models on both benchmark and synthetic datasets. Topped MTEB Retrieval among publicly available models at its May 2024 release with a 60.2 score.
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