The phi-4 model is a cutting-edge open-source LLM developed using a diverse mix of synthetic datasets, curated public domain web content, and acquired academic resources, including books and Q&A datasets. This deliberate data selection ensures the training of compact yet highly capable models with an emphasis on quality and advanced reasoning. To further enhance its performance, phi-4 underwent a rigorous alignment process that included supervised fine-tuning and direct preference optimization, resulting in precise instruction adherence and robust safety measures.

For instructions on accessing this model or initializing it via API, please refer to our docs.