unsloth/Qwen2.5-Coder-0.5B-Instruct

The unsloth/Qwen2.5-Coder-0.5B-Instruct is a 0.49 billion parameter instruction-tuned causal language model from the Qwen2.5-Coder series, developed by Qwen. This model is specifically optimized for code generation, code reasoning, and code fixing, building upon the Qwen2.5 architecture with 5.5 trillion training tokens. It features a 32,768 token context length and is designed for real-world coding applications and maintaining strong mathematical and general competencies.