Zero One Wish has released its Yi series of multi-modal language models Yi-VL, which has demonstrated excellent performance in image and text understanding and dialogue generation. The Yi-VL model has achieved leading results in both Chinese and English data sets. Especially in the MMMU benchmark test, Yi-VL-34B surpassed other similar models with an accuracy of 41.6%, demonstrating its strong interdisciplinary knowledge understanding and application capabilities. . This article will deeply explore the architecture, performance and significance of the Yi-VL model in the multi-modal field.
The 01Wan Yi-VL multi-modal language model is a new member of the 01Wan Yi series model family. It has excellent capabilities in image and text understanding and dialogue generation. The Yi-VL model has achieved leading results on both the English data set MMMU and the Chinese data set CMMMU, demonstrating its strength in complex interdisciplinary tasks. Yi-VL-34B surpassed other multi-modal large models with an accuracy of 41.6% in the new multi-modal benchmark MMMU, demonstrating its strong interdisciplinary knowledge understanding and application capabilities. The Yi-VL model is based on the open source LLaVA architecture and includes Vision Transformer (ViT), Projection module and large-scale language models Yi-34B-Chat and Yi-6B-Chat. ViT is used for image encoding, the Projection module implements the ability to spatially align image features with text features, and the large-scale language model provides powerful language understanding and generation capabilities.The emergence of the Yi-VL model marks a new breakthrough in multi-modal language model technology, and its powerful performance and broad application prospects are worth looking forward to. In the future, with the continuous development of technology, the Yi-VL model is expected to play an important role in more fields and promote the progress and application of artificial intelligence technology.