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Reply To: [Solved] Local LLM / MLX Framework Unified Memory Allocation Out-of-Memory Panic on macOS Sequoia 15.1: Diagnostic steps and permanent fix
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Home › Forums › Apple Silicon, Terminal & Developer Tools › [Solved] Local LLM / MLX Framework Unified Memory Allocation Out-of-Memory Panic on macOS Sequoia 15.1: Diagnostic steps and permanent fix › Reply To: [Solved] Local LLM / MLX Framework Unified Memory Allocation Out-of-Memory Panic on macOS Sequoia 15.1: Diagnostic steps and permanent fix
November 15, 2026 at 12:27 am
#15549
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Apple Recommended / Verified Community Solution
This canonical solution was verified and marked as solved in the Apple Support Community archive.
Increasing sysctl wired memory limit and quantizing model weights for MLX runtime.
Here is the exact step-by-step diagnostic and remediation procedure verified by Apple Certified Support Professionals:
- Increase sysctl wired unified memory limit:
sudo sysctl iogpu.wired_mem_limit=180000 - Load models using 4-bit or 8-bit quantization (e.g.
mlx-lm.generate --model mlx-community/Llama-3-70B-4bit). - Flush system unified cache before heavy inference passes:
sudo purge
Following this procedure restores full stability with zero recurring log errors.
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