Nemotron ColEmbed V2 🤗 8B    🤗 4B    🤗 3B   Model Overview Description The nvidia/nemotron colembed vl 4b v2 is a state of the art late interaction embedding model that ranks No. 3 in the ViDoRe V3: a comprehensive evaluation of retrieval for enterprise use case benchmark, (as of Jan 26, 2026) with a score of 61.42 on 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. License/Te…
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