This project provides a multi-platform desktop application for downloading and running Large Language Models (LLMs) locally. It aims to simplify LLM deployment for users who want to leverage AI capabilities on their own hardware without relying on cloud services.

How It Works

The application is built using SvelteKit, a web framework for building Svelte applications. It likely utilizes a backend component to manage model downloads and interface with local LLM inference engines. The desktop nature suggests it bundles necessary runtime environments or leverages existing system libraries for LLM execution.

Quick Start & Requirements

• Primary install / run command: npm create svelte@latest (to create a new project) followed by npm run dev to start the development server.
• Prerequisites: Node.js and npm (or pnpm/yarn).
• Links: create-svelte

Highlighted Details

• Built with SvelteKit for a modern web-based UI.
• Designed for local LLM execution.
• Multi-platform desktop application.

Maintenance & Community

Information regarding maintenance, community channels, or notable contributors is not available in the provided README.

Licensing & Compatibility

The README does not specify a license. Compatibility for commercial use or closed-source linking is undetermined.

Limitations & Caveats

The provided README focuses on SvelteKit project creation and development, not on the core functionality of downloading and running LLMs. Key details about LLM integration, supported models, hardware requirements (e.g., GPU, RAM), and the actual desktop application build process are missing.