Qwen2.5-Coder is the latest series of the Qwen large language model, specifically designed for code generation, reasoning, and debugging. Built on the powerful Qwen2.5 framework, it has scaled training tokens to 5.5 trillion, incorporating source code, text code bases, synthetic data, among others. Qwen2.5-Coder-32B has emerged as the most advanced open-source large language model for code, matching the coding capabilities of GPT-4o. This model is a 1.5B parameter instruction-tuned version in GGUF format, featuring causal language modeling, pre-training and post-training phases, and a transformers architecture.