Qwen2.5-Coder-32B-Instruct

Qwen2.5-Coder is a series of Qwen large-scale language models designed specifically for code generation, including six mainstream model sizes of 0.5, 1.5, 3, 7, 1.4, and 3.2 billion parameters to meet the needs of different developers. The model has significant improvements in code generation, code reasoning and code repair. Based on the powerful Qwen2.5, the training tokens are expanded to 5.5 trillion, including source code, text code base, synthetic data, etc. Qwen2.5-Coder-32B is currently the most advanced open source code generation large language model, and its coding capabilities match GPT-4o. It not only enhances coding capabilities, but also maintains its advantages in mathematical and general capabilities, and supports long contexts up to 128K tokens.

The target audience is developers, programming enthusiasts and software engineers. With its powerful code generation and reasoning capabilities, Qwen2.5-Coder-32B-Instruct is particularly suitable for large software development teams that need to handle complex code logic, code optimization and maintenance, as well as start-ups and individual developers that require rapid prototype development.