Deepthought-8B is a compact yet powerful inference model constructed on the LLaMA-3.1 8B framework, designed to make AI reasoning more transparent and controllable. Despite its relatively small size, it achieves complex reasoning capabilities comparable to larger models. The model features a unique problem-solving methodology that breaks down its thought process into clear, distinct, and documented steps, outputting the reasoning process in a structured JSON format to facilitate understanding and verification of its decision-making.