This skill provides step-by-step guidance for building an Android app that runs an open text LLM through the LiteRT-LM Kotlin API (com.google.ai.edge.litertlm) on the CPU or the GPU. The model is one .litertlm file. Images, audio, tool calling, and NPU backends aren't covered. For vision and audio models with .tflite files, suggest the litert-runtime skill.

When a LiteRT-LM class or method that this skill uses doesn't compile, you must read the LiteRT-LM Android guide and the LiteRT-LM README before changing the code.

Prerequisites

A Kotlin Android project (the Android Studio Empty Activity template is enough). The litertlm-android 0.18.0 AAR declares minSdk 24.
The dependency in the app-level build.gradle.kts file from Google Maven: implementation("com.google.ai.edge.litertlm:litertlm-android:0.18.0"). Google Maven lists the later releases.
For the GPU backend, two uses-native-library entries inside <application> in AndroidManifest.xml. Add the INTERNET permission if the app downloads the model.
The model file lives on the device's file system (hundreds of MB to a few GB), never in assets/ or in the APK.

litert-lm

Prerequisites

Critical mandates