HARDWARE FIT CHECK • Mistral Large 2 (123B Instruct) + Apple Mac Mini M4 Pro (64GB Unified Memory)83.04 GB / 54 GB VRAM

Can I Run Mistral Large 2 (123B Instruct) on Apple Mac Mini M4 Pro (64GB Unified Memory)?

Full VRAM footprint analysis, tokens/sec generation benchmark, and copy-paste Ollama & vLLM runtime commands for running Mistral Large 2 (123B Instruct) (123B) on Apple Mac Mini M4 Pro (64GB Unified Memory) (54 GB).

✕ OOM83.04 GB (154%)0 t/s

Mistral Large 2 (123B Instruct) on Apple Mac Mini M4 Pro (64GB Unified Memory)

✕ Out of Memory — Exceeds VRAM Capacity

✕ OOM

Required VRAM

83.04 GB

154% of hardware capacity (54 GB)

Est. Decode Speed

0 tok/s

Dense model @ 273 GB/s

Available Headroom

-29.04 GB

Needs +29.04 GB more VRAM

Memory Allocation & Headroom

83.04 GB allocated of 54 GB capacity

154% utilized

Weights: 73.8 GB

KV: (32K): 5.91 GB

Overhead: 3.33 GB

Deficit: -29.04 GB

⚡ Architecture & Throughput Transparency: Single-user decode speed (~0 tok/s) is memory-bandwidth bound at batch size = 1 on Apple Mac Mini M4 Pro (64GB Unified Memory) (273 GB/s). Prompt prefill / TTFT (~0 tok/s) is compute-bound and utilizes GPU Tensor cores. Actual latency varies with FlashAttention-2 and runtime engine (Ollama/vLLM/llama.cpp).

OLLAMA_FLASH_ATTENTION=1 OLLAMA_KV_CACHE_TYPE=q8_0 ollama run mistral-large:123b

Local Hardware Configurations & Pricing

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High-bandwidth VRAM specs and current market prices

Multi-GPU Rig

48 GB VRAM

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Apple Silicon

54 GB VRAM

Apple Mac Mini M4 Pro (64GB Unified Memory)

Silent 65W desktop running 32B–70B models with large KV context

273 GB/s65W TDP

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Apple Silicon✓ Fits Model

112 GB VRAM

Apple Mac Studio M4 Max (128GB Unified Memory)

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546 GB/s145W TDP

$3,499Amazon Prime →

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Out of VRAM

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Quantization Precision Matrix

32K ctx • KV: Q8_0

Quantization	Weights	KV Cache	Total VRAM	Est. Speed	Fit Status
FP1616 bpw	246 GB	5.91 GB	261.27 GB (484%)	0 t/s	OOM
Q8_08.5 bpw	130.38 GB	5.91 GB	141.6 GB (262%)	0 t/s	OOM
Q6_K6.56 bpw	100.86 GB	5.91 GB	111.05 GB (206%)	0 t/s	OOM
Q5_K_M5.68 bpw	87.33 GB	5.91 GB	97.05 GB (180%)	0 t/s	OOM
Q4_K_M4.8 bpw	73.8 GB	5.91 GB	83.04 GB (154%)	0 t/s	OOM
FP44.25 bpw	65.19 GB	5.91 GB	74.13 GB (137%)	0 t/s	OOM
IQ3_XS3.3 bpw	50.43 GB	5.91 GB	58.86 GB (109%)	~1 t/s	PARTIAL

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FAQ & Reference

Frequently Asked Questions: Mistral Large 2 (123B Instruct) on Apple Mac Mini M4 Pro (64GB Unified Memory)

How much VRAM does Mistral Large 2 (123B Instruct) need on Apple Mac Mini M4 Pro (64GB Unified Memory)?

At standard 4-bit quantization (Q4_K_M) with 32K context, Mistral Large 2 (123B Instruct) requires 83.04 GB of total VRAM (weights + KV cache + CUDA runtime overhead).

What inference speed will Mistral Large 2 (123B Instruct) achieve on Apple Mac Mini M4 Pro (64GB Unified Memory)?

Based on Apple Mac Mini M4 Pro (64GB Unified Memory)'s 273 GB/s memory bandwidth, expected decode speed is approximately 0 tokens per second.

Can I expand context beyond 32K tokens?

Each additional 32K tokens of context requires additional KV cache memory. For longer context windows, consider 8-bit or 4-bit KV cache quantization.