Jina-VLM: Small Multilingual Vision Language Model
Authors: name: Andreas Koukounas; name: Georgios Mastrapas; name: Florian Hönicke; name: Sedigheh Eslami; name: Guillaume Roncari; name: Scott Martens; name: Han Xiao
Published: 2025-12-03 18:13:41

Abstract: We present Jina-VLM, a 2.4B parameter vision-language model that achieves state-of-the-art multilingual visual question answering among open 2B-scale VLMs. The model couples a SigLIP2 vision encoder with a Qwen3 language backbone through an attention-pooling connector that enables token-efficient processing of arbitrary-resolution images. Across standard VQA benchmarks and multilingual evaluations, Jina-VLM outperforms comparable models while preserving competitive text-only performance.