Phi

Phi is a family of compact yet very powerful small language models (SLMs) from Microsoft, designed to work both in the cloud and directly on-device. The lineup includes Phi-3 models (mini, small, medium, vision) and the newer Phi-4 generation focused on complex reasoning and high-quality dialogue. Phi-3-mini has about 3.8 billion parameters and a version with a context window of up to 128K tokens, while reaching a quality level comparable to GPT-3.5 and Mixtral, yet remaining compact enough to run on smartphones or edge devices. Phi-3-small (7B) and Phi-3-medium (14B) further improve quality in language, code, and math tasks, while Phi-3-vision adds image understanding. azure.microsoft.com The new Phi-4 series (14B and derivatives) demonstrates big thinking in a small size: thanks to its focus on high-quality data and synthetic textbooks, it delivers a reasoning level comparable to much larger models. Technically, Phi consists of dense Transformer models with long context windows (up to 128K tokens in Phi-3 and even more in certain Phi-4 configurations), support for efficient grouped attention, and advanced post-training methods (SFT, DPO, RLHF), which makes them well suited for logic, programming, document analysis, and multilingual communication tasks while remaining fast and cost-effective to operate. Phi can be used to create local assistants and chatbots that work without internet access, on-device copilots for applications and operating systems, enterprise RAG systems for internal documents, smart assistants for developers, finance, e-commerce, and customer support, as well as models embedded directly into products - from SaaS services to IoT and industrial solutions. The FreeBlock team handles the full cycle of AI project development based on Phi - from selecting the optimal model version and fine-tuning it on your data to integrating it with your infrastructure and bringing it to production. If you want compact, fast, and reliable AI solutions based on Phi, order project development from FreeBlock.