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

The unsloth/Qwen2.5-Coder-7B-Instruct is a 7.61 billion parameter instruction-tuned causal language model from the Qwen2.5-Coder series, developed by Qwen. This model is specifically designed for advanced code generation, reasoning, and fixing, building upon the strong Qwen2.5 foundation with extensive code-specific training data. It features a 131,072 token context length and maintains strong performance in mathematics and general competencies, making it suitable for complex coding tasks and Code Agent applications.