Qwen/Qwen2.5-Coder-32B-Instruct

Qwen/Qwen2.5-Coder-32B-Instruct is a 32.8 billion parameter instruction-tuned causal language model developed by Qwen, part of the Qwen2.5-Coder series. This model significantly improves code generation, reasoning, and fixing, building upon the Qwen2.5 architecture and trained on 5.5 trillion tokens including extensive source code and synthetic data. It offers long-context support up to 131,072 tokens, making it highly suitable for complex code-related tasks and real-world applications like Code Agents.