MobileVLM : A Fast, Strong and Open Vision Language Assistant for Mobile Devices

• URL: http://arxiv.org/abs/2312.16886v2
• Date: Sat, 30 Dec 2023 04:59:21 GMT
• Title: MobileVLM : A Fast, Strong and Open Vision Language Assistant for Mobile Devices
• Authors: Xiangxiang Chu and Limeng Qiao and Xinyang Lin and Shuang Xu and Yang Yang and Yiming Hu and Fei Wei and Xinyu Zhang and Bo Zhang and Xiaolin Wei and Chunhua Shen
• Abstract summary: MobileVLM is a competent multimodal vision language model (MMVLM) targeted to run on mobile devices. It comprises a set of language models at the scale of 1.4B and 2.7B parameters, trained from scratch, a multimodal vision model that is pre-trained in the CLIP fashion.
• Score: 73.46317110474064
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: We present MobileVLM, a competent multimodal vision language model (MMVLM) targeted to run on mobile devices. It is an amalgamation of a myriad of architectural designs and techniques that are mobile-oriented, which comprises a set of language models at the scale of 1.4B and 2.7B parameters, trained from scratch, a multimodal vision model that is pre-trained in the CLIP fashion, cross-modality interaction via an efficient projector. We evaluate MobileVLM on several typical VLM benchmarks. Our models demonstrate on par performance compared with a few much larger models. More importantly, we measure the inference speed on both a Qualcomm Snapdragon 888 CPU and an NVIDIA Jeston Orin GPU, and we obtain state-of-the-art performance of 21.5 tokens and 65.3 tokens per second, respectively. Our code will be made available at: https://github.com/Meituan-AutoML/MobileVLM.

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