AI가 움직이고 미래가 업데이트됩니다.llama-embed-nemotron-8b
`llama-embed-nemotron-8b` is a versatile text embedding model trained by NVIDIA and optimized for retrieval, reranking, semantic similarity, and classification use cases. This model has robust capabilities for multilingual and cross-lingual text retrieval. It is designed to serve as a foundational component in text-based Retrieval-Augmented Generation (RAG) systems. This model achieves state-of-the-art performance on the multilingual MTEB leaderboard as of October 21, 2025. Together with the model weights, we're releasing the full recipe behind the `llama-embed-nemotron-8b`: - A detailed technical report focusing on our Synthetic Data Generation (SDG) pipeline and core design choices. - The training dataset, featuring a curated mix of public and synthetic data. - The full training code via the NeMo AutoModel framework.
번역 준비 중입니다. 원문을 표시합니다.
`llama-embed-nemotron-8b` is a versatile text embedding model trained by NVIDIA and optimized for retrieval, reranking, semantic similarity, and classification use cases. This model has robust capabilities for multilingual and cross-lingual text retrieval. It is designed to serve as a foundational component in text-based Retrieval-Augmented Generation (RAG) systems. This model achieves state-of-the-art performance on the multilingual MTEB leaderboard as of October 21, 2025. Together with the model weights, we're releasing the full recipe behind the `llama-embed-nemotron-8b`: - A detailed technical report focusing on our Synthetic Data Generation (SDG) pipeline and core design choices. - The training dataset, featuring a curated mix of public and synthetic data. - The full training code via the NeMo AutoModel framework.