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| title: LiteRT-LM | |
| emoji: π | |
| colorFrom: blue | |
| colorTo: green | |
| sdk: static | |
| app_file: index.html | |
| pinned: false | |
| # LiteRT-LM | |
| LiteRT-LM is Google's production-ready, high-performance, open-source inference | |
| framework for deploying Large Language Models on edge devices. | |
| π [Product Website](https://ai.google.dev/edge/litert-lm) | |
| ## π₯ What's New: Gemma 4 support with LiteRT-LM | |
| Deploy [Gemma 4](https://blog.google/innovation-and-ai/technology/developers-tools/gemma-4/) | |
| across a broad range of hardware with stellar performance | |
| ([blog](https://developers.googleblog.com/bring-state-of-the-art-agentic-skills-to-the-edge-with-gemma-4/)). | |
| π Try on Linux, macOS, Windows (WSL) 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-E2B-it.litertlm \ | |
| --prompt="What is the capital of France?" | |
| ``` | |
| ## π Key Features | |
| - π± **Cross-Platform Support**: Android, iOS, Web, Desktop, and IoT (e.g. | |
| Raspberry Pi). | |
| - π **Hardware Acceleration**: Peak performance via GPU and NPU accelerators. | |
| - ποΈ **Multi-Modality**: Support for vision and audio inputs. | |
| - π§ **Tool Use**: Function calling support for agentic workflows. | |
| - π **Broad Model Support**: Gemma, Llama, Phi-4, Qwen, and more. | |
|  | |
| --- | |
| ## π 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** | | |
| | :---: | :---: | | |
| | <a href='https://play.google.com/store/apps/details?id=com.google.ai.edge.gallery'><img alt='Get it on Google Play' height="120" src='https://play.google.com/intl/en_us/badges/static/images/badges/en_badge_web_generic.png'/></a> | <a href="https://apps.apple.com/us/app/google-ai-edge-gallery/id6749645337?itscg=30200&itsct=apps_box_badge&mttnsubad=6749645337" style="display: inline-block;"> <img src="https://toolbox.marketingtools.apple.com/api/v2/badges/download-on-the-app-store/black/en-us?releaseDate=1771977600" alt="Download on the App Store" style="width: 246px; height: 90px; vertical-align: middle; object-fit: contain;" /></a> | | |
| ### π° Blogs & Announcements | |
| | Link | Description | | |
| | :--- | :--- | | |
| | [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. | | |
| --- | |
| ## π Quick Start | |
| ### π Key Links | |
| - π [Technical Overview](https://ai.google.dev/edge/litert-lm/overview) including performance benchmarks, model support, and more. | |
| - π [LiteRT-LM CLI Guide](https://ai.google.dev/edge/litert-lm/cli) including installation, getting started, and advanced usage. | |
| ### β‘ 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?" | |
| ``` | |
| --- | |
| ### π Supported Language APIs | |
| Ready to get started? Explore our language-specific guides and setup instructions. | |
| | Language | Status | Best For... | Documentation | | |
| | :--- | :--- | :--- | :--- | | |
| | **Kotlin** | β Stable | Android apps & JVM | [Android (Kotlin) Guide](https://ai.google.dev/edge/litert-lm/android) | | |
| | **Python** | β Stable | Prototyping & Scripting | [Python Guide](https://ai.google.dev/edge/litert-lm/python) | | |
| | **C++** | β Stable | High-performance native | [C++ Guide](https://ai.google.dev/edge/litert-lm/cpp) | | |
| | **Swift** | π In Dev | Native iOS & macOS | (Coming Soon) | | |
| #### ποΈ 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 [](https://github.com/google-ai-edge/LiteRT-LM/releases/latest) tag. | |
| --- | |
| ## π¦ Releases | |
| - **v0.10.1**: 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). | |
| - **v0.9.0**: 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](https://github.com/google-ai-edge/LiteRT-LM/releases). | |
| --- | |