Apple Silicon AI

Mac Studio & Mac Mini Local LLM Configurator

Workload Presets:
1. Hardware Architecture & Unified RAM
Mac Studio (M5 Max)
Machine Form Factor Mini vs Studio chassis
Processor Generation & Class 546 GB/s memory bandwidth
Unified Memory (RAM) Shared GPU/CPU VRAM
2. Local LLM & Context Sizing
Target Open Weights Model 70B parameters
Quantization Level (GGUF / MLX) ~4.50 bits/weight
Context Window Length (KV Cache) ~3.2 GB VRAM
16k tok
3. Background Developer Workload Overhead
12.5 GB reserved
D
Docker Containers
Postgres, Redis, Microservices (2.5 GB / container)
2
IJ
IntelliJ IDEA / PyCharm
JVM heap & indexing (2.2 GB / project window)
1
VS
VS Code Windows & Linters
Language servers & extensions (1.0 GB / window)
2
OS
macOS System Base & Browser Tabs
WindowServer, Safari/Chrome tabs, Slack
Fixed 4.5 GB
Runs 100% in Unified Memory (Zero Swap)
Comfortable headroom for full GPU offloading with zero NVMe disk paging latency.
RAM Load
54%
Unified Memory Allocation Map
Using 68.2 GB of 128 GB
Model Weights 41.2 GB
KV Cache 3.2 GB
Docker & IDEs 12.5 GB
macOS Base 4.5 GB
Free Headroom 66.6 GB
Generation Speed 13.2 tok/s Memory-bound decode
Memory Bandwidth 546 GB/s Unified GPU pipe
GPU Layer Offload 100% 80 of 80 layers in VRAM
Deployment Engineering Matrix mlx / llama.cpp Metal Backend
Component Configuration Impact / Allocation
Target Hardware Mac Studio • Apple M5 Max (16-core CPU / 40-core GPU) 128 GB Unified
Active Model DeepSeek-R1-Distill-Llama-70B (Q4_K_M) 41.2 GB VRAM
KV Cache Window 16,384 tokens (FP16 Attention Cache) 3.2 GB
Dev Environment 2 Docker + 1 IntelliJ + 2 VS Code 12.5 GB RAM
Memory Headroom Buffer remaining for OS paging & compile spikes 66.6 GB (Safe)
Export Manifest (llama.cpp / MLX / Ollama Modelfile)
# Apple Silicon Local LLM Configuration Manifest # Generated dynamically MACHINE="Mac Studio" CHIP="Apple M5 Max" TOTAL_RAM_GB=128 MODEL="deepseek-r1-distill-70b" QUANT="Q4_K_M" CONTEXT_TOKENS=16384 ESTIMATED_TOKENS_PER_SEC=13.2