Apple M2 — Local LLM Performance & Compatibility

Name: LLM Configurator — GPU VRAM Checker
Author: LLM Configurator

作者： Jakub Rusinowski · 最后更新： 2026年7月12日

Up to 24 GB unified memory at 100 GB/s. Comfortably fits 7–8B models at Q4 with room for the OS. Common in the MacBook Air and Mac mini.

Technical Specifications

VRAM	24 GB unified memory
Memory Bandwidth	100 GB/s
TDP	20 W
Architecture	ARM, 5nm TSMC
Release Year	2022
MSRP at Launch	$1,099
Inference Speed (Llama 3.1 8B Q4_K_M)	6.4–13 tok/s (estimated)
Inference Speed (Llama 3.3 70B Q4_K_M)	Does not fit — needs ~44 GB of 18 GB usable

购买此硬件 Apple Mac mini M2 — 24 GB VRAM · 20 W board power 立即云端部署 RunPod 上的 RTX 4090 — 低至 $0.34/小时 · 价格核实于 2026-07

或在 Vast.ai 比较，低至 $0.35/小时 (typical low · varies)

作为亚马逊联盟成员，我们从符合条件的购买中获得收入。云 GPU 链接为推荐链接——我们可能获得佣金，您无需额外付费。

联盟营销声明: 本页部分链接为联盟推广链接——如果你通过它们购买，LLM Configurator 可能会获得佣金，而你无需支付任何额外费用。作为亚马逊联盟成员（Amazon Associate），LLM Configurator 会从符合条件的购买中获得收益。

Apple Mac mini M2

24 GB VRAM · 20 W board power

2026年价格波动较大——请以当前商品页价格为准。

在亚马逊查看价格

LLMs Compatible with 24 GB Unified Memory

All models below run comfortably in 24 GB unified memory with Q4_K_M quantization.

Command R Family	Command R (35B) · 22 GB VRAM · Q4_K_M · `ollama run command-r`
Qwen 3.5	Qwen 3.5 35B-A3B · 22 GB VRAM · Q4_K_M · `ollama run qwen3.5:35b-a3b`
Qwen 3.6	Qwen 3.6 35B-A3B · 22 GB VRAM · Q4_K_M · `ollama run qwen3.6:35b-a3b`
Nex-N2	Nex-N2 mini · 22 GB VRAM · Q4_K_M · nex-n2
Yi 1.5 Family	Yi 1.5 34B Chat · 22 GB VRAM · Q4_K_M · `ollama run yi:34b`
Qwen 3	Qwen 3 32B · 21 GB VRAM · Q4_K_M · `ollama run qwen3:32b`
Aya Expanse	Aya Expanse 32B · 20 GB VRAM · Q4_K_M · `ollama run aya-expanse:32b`
DeepSeek R1	DeepSeek R1 Distill Qwen 32B · 20 GB VRAM · Q4_K_M · `ollama run deepseek-r1:32b`

56 more families also fit 24 GB — browse the full model library.

Best Use Cases

8B models (Q4)
MacBook Air
entry-level

Quick Start with Ollama

Install Ollama then run the recommended model for this GPU:

ollama run llama3.2:3b

FAQ

Can the Apple M2 run local LLMs?

Yes — the Apple M2 has 24 GB unified memory and runs Up to 24 GB unified memory at 100 GB/s. Comfortably fits 7–8B models at Q4 with room for the OS. Common in the MacBook A

How fast is the Apple M2 for AI inference?

The Apple M2 is estimated to run Llama 3.1 8B at 6.4–13 tok/s with Q4_K_M quantization. Llama 3.3 70B does not fit: it needs about 44 GB against 18 GB usable. These are modelled estimates, not measurements — see /en/methodology.

What LLMs can I run on 24 GB VRAM?

With 24 GB you can run: Command R Family, Qwen 3.5, Qwen 3.6, Nex-N2, Yi 1.5 Family. Use Ollama for the easiest setup: ollama run llama3.2:3b.

Can I Run It? — Apple M2

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VRAM Tier

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Buying Guide

Best GPU Buyer Guide 2026

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