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