UPDF AI

MobileVLM V2: Faster and Stronger Baseline for Vision Language Model

Xiangxiang Chu,Limeng Qiao,8 Authors,Chunhua Shen

2024 · DOI: 10.48550/arXiv.2402.03766
arXiv.org · 109 Citations

Abstract

We introduce MobileVLM V2, a family of significantly improved vision language models upon MobileVLM, which proves that a delicate orchestration of novel architectural design, an improved training scheme tailored for mobile VLMs, and rich high-quality dataset curation can substantially benefit VLMs' performance. Specifically, MobileVLM V2 1.7B achieves better or on-par performance on standard VLM benchmarks compared with much larger VLMs at the 3B scale. Notably, our 3B model outperforms a large variety of VLMs at the 7B+ scale. Our models will be released at https://github.com/Meituan-AutoML/MobileVLM .