Qwen2.5-1M is an open-source AI language model designed for long sequence tasks, with support for context lengths of up to 1 million tokens. Through innovative training methods and technical optimizations, it significantly enhances the performance and efficiency of long sequence processing. This model excels in long context tasks while maintaining strong performance in short text scenarios, making it an excellent open-source alternative among existing long context models. It is suitable for applications involving extensive text data, such as document analysis and information retrieval, providing developers with robust language processing capabilities.