Embedding Local LLMs in Your Mobile App

--- title : " Ship an On-Device LLM in Your Mobile App with KMP and llama.cpp" published : true description : " A practical guide to embedding llama.cpp in production mobile apps using Kotlin Multiplatform — covering quantization benchmarks, GPU delegation, and a 60fps streaming architecture." tags : kotlin, mobile, architecture, performance canonical_url : https://blog.mvpfactory.co/on-device-llms-mobile-kmp-llama-cpp --- ## What We're Building By the end of this tutorial, you'll have a working architecture for running a 7B-parameter LLM directly on a phone — no cloud calls, no connectivity requirement, no data leaving the device. We'll wire llama.cpp into a Kotlin Multiplatform project, pick the right quantization level using real benchmark data, and build a coroutine-based streaming pipeline that renders tokens without dropping frames. Let me show you a pattern I use in every project that needs on-device inference. ## Prerequisites - Kotlin Multiplatform project targeting iOS and An