Migician is a multi-modal large language model developed by the Natural Language Processing Laboratory of Tsinghua University, focusing on multi-image localization tasks. By introducing an innovative training framework and the large-scale MGrounding-630k dataset, the model significantly improves the accuracy of localization in multi-image scenarios. It not only surpasses existing multi-modal large language models but also outperforms larger 70B models in performance. The main advantages of Migician lie in its ability to handle complex multi-image tasks and provide free-form localization instructions, making it have important application prospects in the field of multi-image understanding. The model is currently open-source on Hugging Face for researchers and developers to use.