MobileVLM V2: Faster and Stronger Baseline for Vision Language Model
Authors: name: Xiangxiang Chu, name: Limeng Qiao, name: Xinyu Zhang, name: Shuang Xu, name: Fei Wei, name: Yang Yang, name: Xiaofei Sun, name: Yiming Hu, name: Xinyang Lin, name: Bo Zhang, name: Chunhua Shen

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 .