Nemotron ColEmbed V2 🤗 8B    🤗 4B    🤗 3B   Model Overview Description Introducing nvidia/nemotron colembed vl 8b v2 , the state of the art late interaction embedding model that currently ranks No. 1 on ViDoRe V3—a comprehensive benchmark for enterprise retrieval use cases—as of January 26, 2026, with a score of 63.54 across 8 public tasks. The model was fine tuned for query document retrieval. Users can input queries , which are text, or documents which are page images, to the model. The model outputs ColBERT style multi vector numerical representations for input queries and documents. ✨ Key Improvements: ⚗️ Advanced Model Merging: Utilizes post training model merging to combine the strengths of multiple fine tuned checkpoints. This delivers the accuracy stability of an ensemble without any additional inference latency. 🌍 Enhanced Synthetic Data: We significantly enriched our training mixture with diverse multilingual synthetic data, improving semantic alignment across languages and complex document types. This model is for non commercial/research use only. See the Nemotron ColEmbed v2 paper for more details about its architecture, training and results. Lic…
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