Unsloth: Unified Web UI for AI Model Training

Unsloth is a unified web UI designed for training and running AI models such as Qwen, DeepSeek, and Gemma locally. It provides a comprehensive interface that supports various functionalities for both inference and training of models across different platforms including Windows, Linux, and macOS.

Key features include:

• Inference capabilities - Search, download, and run models including GGUF and LoRA adapters.
• Model export - Save or export models to GGUF and 16-bit safetensors.
• Tool calling - Support for self-healing tool calling and web search.
• Code execution - Allows LLMs to test code in sandbox environments.
• Training efficiency - Train and reinforce learning on over 500 models up to 2x faster with reduced VRAM usage.

Unsloth is particularly useful for developers and researchers looking to streamline their model training processes and enhance performance through its advanced features.