Kotlin Tutorial Shows How to Run LLMs Locally on Android Without APIs

A developer tutorial published on DEV Community walks through running large language models directly on a user's device using Kotlin, requiring no server or API key. The guide uses the open-source NobodyWho library, which wraps llama.cpp and supports Android as well as desktop JVM platforms including Linux, macOS, and Windows. On-device AI offers key advantages over cloud-based models, including offline functionality, user privacy, lower latency, and no inference costs. The tutorial covers features ranging from basic chat to multimodal input, speech recognition, text-to-speech, and retrieval-augmented generation. Models in GGUF format can be loaded directly from Hugging Face, with the library handling downloads and caching automatically.