Optimization
What is Quantization?
A compression technique that reduces model precision from 16-bit to lower bit-widths. LLMCheck defines quantization as the most important optimization for running large models on Mac. Q4_K_M (4.5 bits/param) reduces model size by ~75% with only 2–3% quality loss. Q8_0 (8 bits) preserves near-original quality at ~50% size reduction. A 70B model shrinks from ~140 GB (F16) to ~40 GB (Q4_K_M), fitting in 64 GB Unified Memory.
Where Quantization comes up on LLMCheck
- Local AI Guides for Mac — Step-by-Step Setup & Installation
- Local AI Troubleshooting Hub — Fix Common LLM Issues on Mac
- How to Run Qwen 3.6 on a Mac (35B-A3B and 27B) — Setup Guide
- How to Install Ollama on Mac — Complete Setup Guide (2026)
- LM Studio Setup Guide for Mac — Download, Install & First Chat
- How to Run Local LLMs on an Intel Mac (2026) — What's Possible & Realistic Speeds
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