GGUF Loader with its floating button is an enterprise-grade local AI deployment platform for Windows, MacOS, and Linux. Run Mistral, LLaMA, and DeepSeek models offline without requiring Python or command-line knowledge. The platform prioritizes privacy-first AI with a Smart Floating Assistant.
- Privacy First: Your data never leaves your machine. True offline AI processing.
- Accessible to All: No complex setup. No Python knowledge required. Just click and run.
- Your Control: Run AI models on your terms, your hardware, your schedule.
- Multi-Model Support: Supports all major GGUF-format models including Mistral, LLaMA, DeepSeek, Gemma, and TinyLLaMA.
- Fully Offline Operation: Zero external APIs or internet access needed. Works on air-gapped or disconnected systems.
- User-Friendly Cross-Platform App: No command-line skills needed. Drag-and-drop GUI with intuitive model loading for Windows, MacOS, and Linux.
- Optimized Performance: Built for speed and memory efficiency — even on mid-range CPUs.
- Zero Configuration: Start instantly. No environment setup, Python, or packages to install.
- Download GGUF Loader from the releases page
- Get a GGUF-format model from Hugging Face or other sources
- Load the model into GGUF Loader by clicking the 'Load Model' button
- Start using your local AI assistant completely offline
For a comprehensive collection of GGUF models, visit local-ai-zone.github.io.
Check out our blog for the latest news, tutorials, and insights about local AI deployment.
This project is licensed under the terms specified in the original repository.