How to Run MiniMax‑M2.7 on Mac: Comparing Two Quantization Paths
This article explains why standard uniform quantization fails for the 228‑billion‑parameter MiniMax‑M2.7 MoE model on macOS, and compares two practical solutions—JANGTQ + MLX Studio with 2‑bit mixed‑precision achieving 91.5 % MMLU using 56.5 GB, and LM Studio + GGUF which is easier but requires at least 138 GB RAM and yields lower accuracy.
