LLaVA-OneVision-1.5: Fully Open Framework for Democratized Multimodal Training

Xiang An; Yin Xie; Kaicheng Yang; Wenkang Zhang; Xiuwei Zhao; Zheng Cheng; Yirui Wang; Songcen Xu; Changrui Chen; Didi Zhu; Chunsheng Wu; Huajie Tan; Chunyuan Li; Jing Yang; Jie Yu; Xiyao Wang; Bin Qin; Yumeng Wang; Zizhen Yan; Ziyong Feng; Ziwei Liu; Bo Li; Jiankang Deng

arXiv · 2509.23661

LLaVA-OneVision-1.5: Fully Open Framework for Democratized Multimodal Training

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Abstract

We present LLaVA-OneVision-1.5, a novel family of Large Multimodal Models (LMMs) that achieve state-of-the-art performance with significantly reduced computational and financial costs. Different from the existing works, LLaVA-OneVision-1.5 provides an open, efficient, and reproducible framework for building high-quality vision-language models entirely from scratch. The LLaVA-OneVision-1.5 release comprises three primary components: (1) Large-Scale Curated Datasets: We construct an 85M concept-balanced pretraining dataset LLaVA-OneVision-1.5-Mid-Traning and a meticulously curated 22M instruction dataset LLaVA-OneVision-1.5-Instruct. (2) Efficient Training Framework: We develop a complete end-to-end efficient training framework leveraging an offline parallel data packing strategy to facilitate the training of LLaVA-OneVision-1.5 within a $16,000 budget. (3) State-of-the-art Performance: Experimental results demonstrate that LLaVA-OneVision-1.5 yields exceptionally competitive performance across a broad range of downstream tasks. Specifically, LLaVA-OneVision-1.5-8B outperforms Qwen2.5-VL-7B on 18 of 27 benchmarks, and LLaVA-OneVision-1.5-4B surpasses Qwen2.5-VL-3B on all 27 benchmarks. (4) RL-based Post-training: We unlock the model's latent potential through a lightweight RL stage, effectively eliciting robust chain-of-thought reasoning to significantly boost performance on complex multimodal reasoning tasks.

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Xiang An, Yin Xie, Kaicheng Yang, Wenkang Zhang, Xiuwei Zhao, Zheng Cheng, Yirui Wang, Songcen Xu, Changrui Chen, Didi Zhu, Chunsheng Wu, Huajie Tan, Chunyuan Li, Jing Yang, Jie Yu, Xiyao Wang, Bin Qin, Yumeng Wang, Zizhen Yan, Ziyong Feng, Ziwei Liu, Bo Li, Jiankang Deng. 2025-12-14. LLaVA-OneVision-1.5: Fully Open Framework for Democratized Multimodal Training. https://arxiv.org/abs/2509.23661

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