Run LLaMA 3.2 Offline in React Native with Just a Few Lines of Code!
Imagine running advanced AI models like LLaMA 3.2 completely offline within your React Native app — no internet needed, no cloud dependencies. Thanks to ExecuTorch, this dream is now a reality! In this blog, we’ll guide you through integrating LLaMA 3.2 into your mobile app, ensuring privacy, speed, and simplicity.
What is ExecuTorch?
ExecuTorch, developed by Meta, allows PyTorch models to run efficiently on mobile devices and microcontrollers. By converting models into standalone binaries, ExecuTorch ensures that models run locally, enhancing privacy and reducing costs.
Why Use React Native ExecuTorch for Offline AI?
With React Native ExecuTorch, AI models like LLaMA 3.2 can run offline, directly on devices. This means:
- Complete Privacy: No cloud, no data sharing.
- Low Latency: Fast, local inference.
- Cost Efficiency: Save on cloud infrastructure costs.
Getting Started with LLaMA 3.2 Offline
Step 1: Installation
Install the library using your favorite package manager:
npm install react-native-executorch