Qwen2.5-Coder is the latest series of the Qwen large language model, focused on code generation, reasoning, and repair. Based on the powerful Qwen2.5, this model series significantly enhances code generation, reasoning, and repair capabilities by increasing training tokens to 5.5 trillion, including source code, text grounding, synthetic data, and more. The Qwen2.5-Coder-3B model contains 3.09B parameters, 36 layers, 16 attention heads (Q), and 2 attention heads (KV), with a total context length of 32,768 tokens. It stands out among open-source code LLMs, matching the coding capabilities of GPT-4o, and provides developers with a powerful code assistance tool.