Qwen/Qwen2.5-Coder-7B-Instruct

Qwen/Qwen2.5-Coder-7B-Instruct is a 7.61 billion parameter instruction-tuned causal language model developed by Qwen, part of the Qwen2.5-Coder series. This model is specifically optimized for code generation, code reasoning, and code fixing, building upon the Qwen2.5 foundation. It supports a full context length of 131,072 tokens, making it suitable for complex coding tasks and real-world applications like Code Agents.