Training
What is Fine-Tuning?
The process of further training a pre-trained model on specific data to improve performance for a particular task or domain. On Apple Silicon, fine-tuning small models (up to ~7B parameters) is practical using MLX or the Hugging Face Transformers library. According to LLMCheck, LoRA fine-tuning on an M4 Max can process ~1,000 training examples per hour for a 7B model.
Where Fine-Tuning comes up on LLMCheck
- How to Build a Local RAG System on Mac with Ollama
- How to Fine-Tune a Local LLM on Mac with MLX (LoRA) — 2026 Guide
- RAG vs Fine-Tuning on Mac: When to Use Each for Local AI
- How to Run Google Gemma 4 on Mac: Complete Setup Guide & Benchmarks
- Qwen 3.8: What Actually Shipped & What It Means for Macs (August 2026)
- 7 Best Free Apps to Run AI Locally on Mac (2026 Guide)
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