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Mcourtyard / 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.

Why this job: topics: apple-silicon, ollama, local-llm, mlx

What it does

  • Multi-format Import. Drag & drop .txt, .pdf, .docx.
  • Smart Segmentation. Automatically clean and chunk documents.
  • AI Dataset Generation. Use local Ollama models to generate *Knowledge Q&A*, *Style Imitation*, or *Instruction Training* datasets.
  • Built-in Rules Mode. Generate datasets without any external runtime when you prefer a fully self-contained workflow.
  • Unified Model Hub. Auto-detect local HuggingFace / ModelScope / Ollama assets, or pull the latest models online (Qwen, DeepSeek, GLM, Gemma, Llama, GPT-OSS, etc.).

Get started

No single install command. Read the steps in the README (opens in new tab)

Maintenance
Active
Last commit 4 months ago
Stars
181
+2 this week
Licence
Custom
Read before business use
Downloads for
Mac
From the latest release
Latest version
v0.5.9
Released 4 months ago
Built with
TypeScript
62% of the code

Is it looked after?

Contributors
Not stated
Last 90 days
Issues
80% closed
1 still open
Pull requests
3 merged
0 waiting
Releases
24
24 in the last year

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More: download files, languages, topics and project record

Download files, v0.5.9

  • Mac1 file, 164 downloads

All files on GitHub (opens in new tab)

Languages

  • TypeScript 62%
  • Rust 22%
  • Python 16%
  • CSS 1%

Topics

  • ai-assistant
  • apple-silicon
  • desktop-app
  • fine-tuning
  • llm
  • lm-studio
  • local-llm
  • lora
  • macos
  • mlx
  • ollama
  • react

Project record

  • JobLocal LLMs
  • StatusListed
  • Commits64
  • Forks13
  • Watching1
  • Stars in 28 days+3
  • CreatedFeb 12, 2026
  • First seen by usNov 7, 2026
  • CheckedNov 8, 2026

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