nvidia/llama-nemotron-rerank-vl-1b-v2

Model details

About nvidia/llama-nemotron-rerank-vl-1b-v2

The llama-nemotron-rerank-vl-1b-v2 was developed by NVIDIA for multimodal question-answering retrieval. It is optimized for providing a logit score that represents how relevant a document page is to a given query. The model can process documents in the form of image, text, or image and text combined. The expected images are screenshots of document pages or slides. Documents are ranked given a user query in text form. The model supports images containing text, tables, charts, and infographics. We report the model's performance by evaluating it on the popular ViDoRe V1, V2 and the new Vidore V3 (see Vidore LB for details) multimodal retrieval benchmarks, and on two internally curated visual retrieval datasets.