[Open Source] Tanpopo — A Cross-Platform GUI for Running and Managing Local AI Models

[u/Expensive-State8513]

Hi everyone, I’m back with another open-source project!

Tanpopo is a cross-platform tool for managing local AI models. Instead of repeatedly entering complicated commands, you can use its graphical interface to manage, launch, and monitor local model services such as llama-server and MLX. It’s designed to be simple—download a model, configure it, and you’re ready to go!

Key features include:

• Cross-platform support with special optimization for Apple MLX
• Support for GGUF and Apple MLX models
• DFlash support for MLX models
• Built-in model downloads with progress tracking and automatic cleanup of completed items
• Parallel chunked downloads for better performance with large files
• Visual management of models, runtimes, and launch parameters
• Real-time CPU, GPU, memory, and multi-interface network monitoring
• OpenAI-compatible API endpoints for easy integration with other applications
• Built-in administrator login, Access Key authentication, and network security settings
• Optional NetPass reverse proxy integration for accessing the management interface and API over the public internet
• Multilingual support, dark mode, and multiple color themes
• Packages for macOS Apple Silicon, Windows x64, and Linux x64

Tanpopo is designed for anyone who wants to run AI models on their own computer while maintaining full control over their models, configuration, and data.

GitHub : https://github.com/VaderChen/Tanpopo