LlamaFactory vs MLX-LoRA-Studio
The unified fine-tuning framework: 100+ LLMs and VLMs via LoRA/QLoRA/full-parameter, config-driven or through the LlamaBoard GUI. ACL 2024, 1000+ citations, 73k stars. — versus — Native Mac app for on-device LLM fine-tuning via mlx-lm-lora: pick a model, choose SFT/LoRA/DPO-family algorithms, watch loss fall live, push to Hugging Face. No cloud, no code.
Both GUI-driven fine-tuning across many methods. LLaMA-Factory is the CUDA-world standard (100+ models, LlamaBoard, cluster-ready); MLX LoRA Studio trades that breadth for a native Mac app that trains entirely on Apple Silicon.
| LlamaFactory | MLX-LoRA-Studio | |
|---|---|---|
| Stars | 73k | 250 |
| Forks | 9.0k | 24 |
| Language | Python | Swift |
| License | Apache-2.0 | MIT |
| Last activity | 3 days ago | 4 days ago |
| Topics | training | training, local |
| Curated connections | 5 | 3 |
LlamaFactory — the curator's take
The default answer to 'how do I fine-tune model X': whatever the architecture (Llama, Qwen, Mistral, VLMs…), whatever the method (LoRA, QLoRA, DPO, PPO, full), one YAML config or the LlamaBoard GUI runs it — with the broadest model-coverage matrix in open source and academic citation weight behind it. If TRL is the library you code against, LlamaFactory is the trainer you configure. NOT for frontier-scale RL dataflows (verl/slime territory), and the kitchen-sink coverage means version bumps occasionally break niche model+method combos — pin versions for anything long-running.
MLX-LoRA-Studio — the curator's take
The shortest path from base model to tuned adapter on a Mac: no Python env, no GPU rental — a native SwiftUI app driving mlx-lm-lora, with an algorithm menu unusually deep for a GUI (SFT through DPO-family preference methods, FTPO, Dynamic Fine-Tuning, memory-bounded Chunked NLL), live loss curves and direct HF upload. NOT for serious scale: your ceiling is unified memory on one machine — multi-GPU and large post-training runs belong in LLaMA-Factory/TRL territory. Young single-maintainer project (~250 stars) with a quarantine-xattr dance on first launch; Apple Silicon only, by design.