Jina-VLM: Small Multilingual Vision Language Model

• URL: http://arxiv.org/abs/2512.04032v2
• Date: Thu, 04 Dec 2025 12:45:29 GMT
• Title: Jina-VLM: Small Multilingual Vision Language Model
• Authors: Andreas Koukounas, Georgios Mastrapas, Florian Hönicke, Sedigheh Eslami, Guillaume Roncari, Scott Martens, Han Xiao,
• Abstract summary: 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.<n>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.
• Score: 5.228874650305191
• License: http://creativecommons.org/licenses/by-nc-sa/4.0/
• 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. The model achieves leading results on standard VQA benchmarks and multilingual evaluations while preserving competitive text-only performance. Model weights and code are publicly released at https://huggingface.co/jinaai/jina-vlm .

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