This report describes Qwen2.5, a group of large language models (LLMs) designed for a wide range of uses. Qwen2.5 has been significantly improved from earlier versions, using a massive dataset of 18 trillion words and phrases for training. This extensive training gives Qwen2.5 a strong understanding of general knowledge, specialized expertise, and reasoning abilities. It also excels in following instructions, analyzing structured data like tables and JSON files, and generating long texts. Qwen2.5 is available in various sizes, ranging from small models suitable for limited resources to larger models with billions of parameters, including specialized models for math and coding. The report highlights the rigorous evaluation process used to ensure Qwen2.5's quality and its competitive performance compared to other leading LLMs, making it a powerful tool for various applications.

https://arxiv.org/pdf/2412.15115