M-Courtyard: Fine-tune LLMs on macOS with zero code (MLX + Ollama GUI)

Hi everyone! I’d like to share M-Courtyard, an open-source macOS desktop app for fine-tuning LLMs on Apple Silicon — no code, no cloud, everything local. It wraps the full pipeline in a native GUI: Import docs → Generate training data (Ollama) → LoRA fine-tune (mlx-lm) → Chat-test → One-click export to Ollama (Q4/Q8/F16) Supports models from mlx-community: Qwen 3, DeepSeek R1, GLM, Llama 3, and more. * GitHub: GitHub - tuwenbo0120/m-courtyard: M-Courtyard: Local AI Model Fine-tuning Assistant for Apple Silicon. Zero-code, zero-cloud, privacy-first desktop app powered by Tauri + React + mlx-lm. * Download: Release M-Courtyard v0.3.0 · tuwenbo0120/m-courtyard · GitHub * License: AGPL 3.0 * Tech: Tauri 2.x (Rust) + React + mlx-lm Requirements: macOS 14+, Apple Silicon (M1/M2/M3/M4), 16GB+ RAM recommended Feedback and suggestions welcome!