nvidia/llama-nemotron-embed-vl-1b-v2
llama-nemotron-embed-vl-1b-v2 was developed by NVIDIA for multimodal question-answering retrieval. The model can embed document pages in the form of image, text, or combined image–text inputs. Documents can be retrieved given a user query in text form. The model supports page images containing text, tables, charts, and infographics. We report the evaluation of this model on two internal multimodal
pip install mlforge-sdk && mlforge pull nvidia/llama-nemotron-embed-vl-1b-v2
Model details
About nvidia/llama-nemotron-embed-vl-1b-v2
llama-nemotron-embed-vl-1b-v2 was developed by NVIDIA for multimodal question-answering retrieval. The model can embed document pages in the form of image, text, or combined image–text inputs. Documents can be retrieved given a user query in text form. The model supports page images containing text, tables, charts, and infographics. We report the evaluation of this model on two internal multimodal retrieval benchmarks, and on the popular ViDoRe V1 and V2 benchmarks and the new Vidore V3 benchmark.