---
title: LiteRT-LM
emoji: 🚀
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.

🔗 [Product Website](https://ai.google.dev/edge/litert-lm)

## 🔥 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/)).

👉 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?"
```

## 🌟 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** |
| :---: | :---: |
| <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> |

### 📰 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. |

---

## 🏃 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 |
| :--- | :--- | :--- | :--- |
| **Kotlin** | ✅ Stable | Android apps & JVM | [Android (Kotlin) Guide](https://ai.google.dev/edge/litert-lm/android) |
| **Python** | ✅ Stable | Prototyping & Scripting | [Python Guide](https://ai.google.dev/edge/litert-lm/python) |
| **C++** | ✅ Stable | High-performance native | [C++ Guide](https://ai.google.dev/edge/litert-lm/cpp) |
| **Swift** | 🚀 In Dev | Native iOS & macOS | (Coming Soon) |

#### 🏗️ 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

-   **v0.10.1**: 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).

---