Add README with Space metadata

README.md

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-title: LiteRT LM
-emoji: 🦀
-colorFrom: pink
-colorTo: gray
+title: LiteRT-LM
+emoji: 🚀
+colorFrom: blue
+colorTo: green
 sdk: static
+app_file: index.html
 pinned: false
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-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# 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).
+
+---