Aliyun open source Qwen-VL visual language model, more suitable for Chinese users of multimodal applications

Recently.AliCloud (computing)s Magic Match community announced the open source of a visual language model called Qwen-VL. The model is based on Qwen-7B, a 7 billion parameter model of Tongyi Qianqi, and has the ability of graphical input and multimodal information understanding, which is more applicable to the needs of Chinese users.

Qwen-VL adds some important new features to the Qwen-7B based model, including visual localization and text understanding in images. This means that Qwen-VL can accept images and multilingual text as input, further enhancing the model's multimodal processing capabilities. This innovation allows Qwen-VL to better adapt to the needs of Chinese users, providing them with more accurate and comprehensive information understanding and processing.

The open source Qwen-VL includes two versions of the generic model Qwen-VL and the dialog model Qwen-VL-Chat. General model Qwen-VL has a strong multimodal information understanding capabilities, can be widely used in image recognition, text understanding and other fields. The dialog model Qwen-VL-Chat focuses on quickly building dialog applications with multimodal capabilities, featuring fast reasoning speed and low resource consumption.

AliCloud's open source initiative provides more freedom and flexibility for developers and researchers to build smarter and more efficient applications with Qwen-VL according to their needs and scenarios. At the same time, this further promotes China's role inartificial intelligence (AI)Innovation and development in the field.

We believe that with the open source and wide application of Qwen-VL, we will witness more innovative applications and technological breakthroughs based on visual language models. Aliyun will continue to be committed to promoting the advancement of AI technology and providing users with more intelligent solutions and services.