YAYI-UIE (Yayi Information Extraction) large model, developed by the Algorithm Team of CAS Wenbo, is a model fine-tuned by instructions on a million-level manually constructed high-quality information extraction dataset. It can uniformly train information extraction tasks, including Named Entity Recognition (NER), Relation Extraction (RE), and Event Extraction (EE), covering the structural extraction of various scenarios such as general, security, finance, biomedicine, healthcare, and business. The open-source nature of this model aims to promote the development of the Chinese pre-trained large model open-source community and build an ecosystem for the Yayi large model through collaborative open-sourcing.