[Show and Tell] M-Courtyard v0.4.9: Local MLX Fine-Tuning GUI for Mac (Now with rsLoRA & Custom JSONL)

M-Courtyard v0.4.9 — Local LoRA fine-tuning on Apple Silicon (MLX)

New in this release:

Custom JSONL Import (D-11) : Import your own pre-formatted JSONL datasets directly from the UI. Supports {"prompt", "completion"} and {"messages": [...]} (chat) formats. Backend validates the first 5 lines for field completeness before accepting. If valid.jsonl is absent, the app auto-generates it from train.jsonl at training start.

rsLoRA Scaling Strategy (T-3) : New advanced option under the LoRA/DoRA training method. Switches from standard alpha/r to alpha/√r scaling — the approach introduced in Kalajdzievski 2023. Injects use_rslora: true into the lora_config.yaml passed to mlx_lm lora. Best for rank ≥ 32.

Built with: Tauri 2 + React + mlx-lm | macOS 14+ / Apple Silicon only

GitHub:https://github.com/Mcourtyard/m-courtyard