Project overview
M-Courtyard provides a graphical, local workflow for preparing data and fine-tuning language models on Apple Silicon. Users can import TXT, PDF, or DOCX files, clean and segment them, generate instruction datasets, run MLX-based LoRA training, and test the adapter in a built-in chat. Models can be exported for Ollama, mlx-lm.server, or LM Studio. The application requires macOS 14 or later and an M1, M2, M3, or M4 Mac, with local Python and mlx-lm as the core runtime; 16 GB or more memory is recommended for 7B or 8B models.
Repository facts
- Primary language
- TypeScript
- License
- Custom / other
- Repository updated
- Jul 12, 2026
- Default branch
- main
Resource types
Desktop app
Use cases
AI and agent developmentResearch and knowledge
Operating systems
macOS
Runtime
DesktopLocal
Audience
General users