Skills

Litert Lm

Builds an Android app that runs an open text LLM on the device, on the CPU or the GPU...

Install

npx skills add android/skills --skill litert-lm -g -a claude-code -y
Repository
android/skills10.2k
Category
AI and agents
Updated
6d ago
License
Complete terms in LICENSE.txt
Context cost
Mediumabout 3,000 tokens
Runs scripts
No, instructions only

What it does

Builds an Android app that runs an open text LLM on the device, on the CPU or the GPU, with the LiteRT-LM Kotlin API (com.google.ai.edge.litertlm:litertlm-android). Use this skill when creating a chat, summarization, or extraction feature with a .litertlm model from Hugging Face litert-community (Gemma, Qwen, Llama, Phi), including the Gradle dependency, the GPU manifest entries, getting the model file onto the device, Engine initialization off the main thread, a streamed multi-turn Conversation with sendMessageAsync, and the AndroidViewModel and Compose screen. Don't use for running .tflite vision, audio, or embedding models with the CompiledModel API, for image or audio input, tool calling, or NPU backends, or for converting models.

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.

Critical mandates

Read the whole SKILL.md on GitHub

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