# 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](https://ai.google.dev/edge/litert-lm) ## 🔥 What's New: `v0.13` - **Gemma4 12B Support**: LiteRT-LM now supports Gemma4 12B ([blog](https://developers.googleblog.com/bringing-gemma-4-12b-to-your-laptop-unlocking-local-agentic-workflows-with-google-ai-edge/)). - **LiteRT LM CLI update**: Support OpenAI API Compatible server ([doc](https://ai.google.dev/edge/litert-lm/cli/openai_server)) - **Swift package for MacOS**: Swift package supports both macOS and iOS now. - **🚀 Agent skill support**: Support creating a standalone LiteRT-LM Android demo app with backend selection and multi-modality support. See [README.md](./agents/skills/README.md) for the example prompt. 👉 Try Gemma4-E4B with MTP on Linux, macOS, Windows or Raspberry Pi with the [LiteRT-LM CLI](https://ai.google.dev/edge/litert-lm/cli): ```bash litert-lm run \ --from-huggingface-repo=litert-community/gemma-4-E2B-it-litert-lm \ gemma-4-E4B-it.litertlm \ --backend=gpu \ --enable-speculative-decoding=true \ --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. ![](./docs/api/kotlin/demo.gif) -------------------------------------------------------------------------------- ## 🚀 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](https://github.com/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 :-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | :---------- [Bringing Gemma 4 12B to your Laptop: Unlocking Local, Agentic Workflows with Google AI Edge](https://developers.googleblog.com/bringing-gemma-4-12b-to-your-laptop-unlocking-local-agentic-workflows-with-google-ai-edge/) | Bring agentic, multimodal AI capabilities to everyday laptops, enabling local data processing and visual insight generation. [Blazing-fast on-device GenAI with LiteRT-LM](https://developers.googleblog.com/blazing-fast-on-device-genai-with-litert-lm/) | Unlock Gemma 4's full potential with blazing speed and incredible efficiency using newly added Swift, JavaScript, and Flutter APIs. [Accelerating Gemma 4: faster inference with multi-token prediction drafters](https://blog.google/innovation-and-ai/technology/developers-tools/multi-token-prediction-gemma-4/) | An overview of how Multi-Token Prediction (MTP) drafters are making Gemma 4 models up to 3x faster at inference. [Bring state-of-the-art agentic skills to the edge with Gemma 4](https://developers.googleblog.com/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](https://developers.googleblog.com/on-device-genai-in-chrome-chromebook-plus-and-pixel-watch-with-litert-lm/) | Deploy language models on wearables and browser-based platforms using LiteRT-LM at scale. [On-device Function Calling in Google AI Edge Gallery](https://developers.googleblog.com/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](https://developers.googleblog.com/google-ai-edge-small-language-models-multimodality-rag-function-calling/) | Latest insights on RAG, multimodality, and function calling for edge language models. -------------------------------------------------------------------------------- ## 🏃 Quick Start ### 🔗 Key Links - 👉 [Technical Overview](https://ai.google.dev/edge/litert-lm/overview) including performance benchmarks, model support, and more. - 👉 [LiteRT-LM CLI Guide](https://ai.google.dev/edge/litert-lm/cli) 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`](https://docs.astral.sh/uv/getting-started/installation/): ```bash 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 :------------------- | :-------------- | :---------------------- | :------------ **Python** | ✅ Stable | Prototyping & Scripting | [Python Guide](https://ai.google.dev/edge/litert-lm/python) **Kotlin** | ✅ Stable | Android apps & JVM | [Kotlin Guide](https://ai.google.dev/edge/litert-lm/android) **Swift** | 🚀 Early Preview | Native iOS & macOS | [Swift Guide](https://ai.google.dev/edge/litert-lm/swift) **JavaScript (web)** | 🚀 Early Preview | Browser environments | [JavaScript Guide](https://ai.google.dev/edge/litert-lm/js) **Flutter** | 🚀 Community | Cross-platform mobile | [Flutter Guide](https://ai.google.dev/edge/litert-lm/flutter) **C++** | ✅ Stable | High-performance native | [C++ Guide](https://ai.google.dev/edge/litert-lm/cpp) #### 🏗️ Build From Source This [guide](./docs/getting-started/build-and-run.md) shows how you can compile LiteRT-LM from source. If you want to build the program from source, you should checkout the stable [![Latest Release](https://img.shields.io/github/v/release/google-ai-edge/LiteRT-LM)](https://github.com/google-ai-edge/LiteRT-LM/releases/latest) tag. -------------------------------------------------------------------------------- ## 📦 Releases - **v0.13**: Support Gemma4 12B. Added Agent skill support for Android demo app, OpenAI API compatible server in CLI, and MacOS support in Swift package. - **v0.12**: Added early preview of Swift and Web JavaScript APIs, and community Flutter support. Updated LiteRT-LM CLI to have full CPU and GPU backend support across Linux, macOS, and Windows. - **v0.11**: Support Single Position Multi-token Prediction (MTP) for Gemma 4. Expand LiteRT-LM CLI to run natively on Windows with CPU and GPU backends. - **v0.10**: Deploy [Gemma 4](https://blog.google/innovation-and-ai/technology/developers-tools/gemma-4/) with stellar performance ([blog](https://developers.googleblog.com/bring-state-of-the-art-agentic-skills-to-the-edge-with-gemma-4/)) and introduce [LiteRT-LM CLI](https://ai.google.dev/edge/litert-lm/cli). - **v0.9**: Improvements to function calling capabilities, better app performance stability. - **v0.8**: Desktop GPU support and Multi-Modality. - **v0.7**: NPU acceleration for Gemma models. For a full list of releases, see [GitHub Releases](https://github.com/google-ai-edge/LiteRT-LM/releases). --------------------------------------------------------------------------------