NVIDIA's Llama-3.1-8B-based bidirectional multilingual embedder; #1 MMTEB Borda at October 2025 release.
A solid 7.5B-parameter dense embedding model from NVIDIA. Treat the modality benchmarks above as the leading indicator of fit — composite scoring across modalities is still maturing.
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NVIDIA's open-weights universal text embedding model fine-tuned from Llama-3.1-8B by replacing causal attention with bi-directional self-attention. Trained on 16.4M query-document pairs (8M public + 8.4M synthetic) with a novel synthetic-data pipeline; instruction-aware and optimized for multilingual and cross-lingual retrieval. Released for research/non-commercial use.
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