Qwen2.5-Coder-7B-Instruct is a large language model specifically designed for code, part of the Qwen2.5-Coder series which includes six mainstream model sizes: 0.5, 1.5, 3, 7, 14, and 32 billion parameters to meet the diverse needs of developers. This model shows significant improvements in code generation, reasoning, and debugging, trained on an extensive dataset of 5.5 trillion tokens that includes source code, code-related textual data, and synthetic data. The Qwen2.5-Coder-32B represents the latest advancement in open-source code LLMs, matching the coding capabilities of GPT-4o. Moreover, it supports long context lengths of up to 128K tokens, providing a solid foundation for practical applications like code agents.