Qwen2.5-Coder is the latest series in the Qwen large language model lineup, focusing on code generation, inference, and debugging. Built upon the powerful Qwen2.5 framework, this model was trained on 550 trillion sources, including source code, text code foundations, and synthetic data, making it the most advanced open-source code language model available today. It not only matches the programming capabilities of GPT-4o but also maintains an edge in mathematics and general competencies. The Qwen2.5-Coder-0.5B-Instruct-GPTQ-Int4 model features a 4-bit quantized instruction-tuned architecture, incorporating causal language modeling, pre-training and fine-tuning, as well as a transformers architecture.