This repository offers practical recipes for enhancing open-source LLM capabilities by scaling test-time compute — allowing models to ’think longer’ on complex problems rather than relying solely on larger pretrained models. It includes implementations of inference strategies inspired by approaches like OpenAI’s o1, with the goal of making open models solve difficult math and coding tasks more effectively through dynamic inference-time computation.