🔥 google-ai-edge/LiteRT-LM

LiteRT-LM is Google's production-ready, high-performance, open-source inference framework for deploying Large Language Models on edge devices.

🔗 Product Website

🔥 What's New: Gemma 4 support with LiteRT-LM

Deploy Gemma 4 across a broad range of hardware with stellar performance (blog).

👉 Try on Linux, macOS, Windows (WSL) or Raspberry Pi with the LiteRT-LM CLI:

litert-lm run \  --from-huggingface-repo=litert-community/gemma-4-E2B-it-litert-lm \  gemma-4-E2B-it.litertlm \  --prompt="What is the capital of France?"

litert-lm run \  --from-huggingface-repo=litert-community/gemma-4-E2B-it-litert-lm \  gemma-4-E2B-it.litertlm \  --prompt="What is the capital of France?"

🌟 Key Features

• 📱 Cross-Platform Support: Android, iOS, Web, Desktop, and IoT (e.g. Raspberry Pi).

• 🚀 Hardware Acceleration: Peak performance via GPU and NPU accelerators.

• 👁️ Multi-Modality: Support for vision and audio inputs.

• 🔧 Tool Use: Function calling support for agentic workflows.

• 📚 Broad Model Support: Gemma, Llama, Phi-4, Qwen, and more.

🚀 Production-Ready for Google's Products

LiteRT-LM powers on-device GenAI experiences in Chrome, Chromebook Plus, Pixel Watch, and more.

You can also try the Google AI Edge Gallery app to run models immediately on your device.

Install the app today from Google Play Install the app today from App Store

📰 Blogs & Announcements

Link Description

Bring state-of-the-art agentic skills to the edge with Gemma 4 Deploy Gemma 4 in-app and across a broader range of devices with stellar performance and broad reach using LiteRT-LM.

On-device GenAI in Chrome, Chromebook Plus and Pixel Watch Deploy language models on wearables and browser-based platforms using LiteRT-LM at scale.

On-device Function Calling in Google AI Edge Gallery Explore how to fine-tune FunctionGemma and enable function calling capabilities powered by LiteRT-LM Tool Use APIs.

Google AI Edge small language models, multimodality, and function calling Latest insights on RAG, multimodality, and function calling for edge language models.

🏃 Quick Start

🔗 Key Links

• 👉 Technical Overview including performance benchmarks, model support, and more.

• 👉 LiteRT-LM CLI Guide including installation, getting started, and advanced usage.

⚡ Quick Try (No Code)

Try LiteRT-LM immediately from your terminal without writing a single line of code using uv:

uv tool install litert-lm

litert-lm run
--from-huggingface-repo=google/gemma-3n-E2B-it-litert-lm
gemma-3n-E2B-it-int4
--prompt="What is the capital of France?"`

📚 Supported Language APIs

Ready to get started? Explore our language-specific guides and setup instructions.

Language Status Best For... Documentation

Kotlin ✅ Stable Android apps & JVM Android (Kotlin) Guide

Python ✅ Stable Prototyping & Scripting Python Guide

C++ ✅ Stable High-performance native C++ Guide

Swift 🚀 In Dev Native iOS & macOS (Coming Soon)

🏗️ Build From Source

This guide shows how you can compile LiteRT-LM from source.

📦 Releases

• v0.9.0: Improvements to function calling capabilities, better app performance stability.

• v0.8.0: Desktop GPU support and Multi-Modality.

• v0.7.0: NPU acceleration for Gemma models.

For a full list of releases, see GitHub Releases.