Can I Run Phi-4 Family on Apple M1?

Autor: Jakub Rusinowski · Ostatnia aktualizacja: 12 lipca 2026

Yes, but it's tight — Phi-4 (14B) at Q4_K_M needs 10.9 GB at 8K context (8.5 GB weights + 2.4 GB KV cache/overhead), leaving ~1.1 GB of the Apple M1's 12 GB usable memory, at ~4 tok/s (est.), with room for up to 8K context.

See what else this hardware can run →

Kup ten sprzęt Apple Mac mini M1 (16GB) — 16 GB VRAM · 20 W board powerUruchom w chmurze RTX 4090 w RunPod — od $0.34/godz. · stawka sprawdzona 2026-07

lub porównaj w Vast.ai od $0.35/godz. (typical low · varies)

Jako partner Amazon zarabiamy na kwalifikujących się zakupach. Linki do chmurowych GPU są linkami polecającymi — możemy otrzymać prowizję bez dodatkowych kosztów dla Ciebie.

Ujawnienie afiliacyjne: Niektóre odnośniki na tej stronie to linki afiliacyjne — jeśli dokonasz zakupu za ich pośrednictwem, LLM Configurator może otrzymać prowizję bez dodatkowych kosztów dla Ciebie. Jako uczestnik programu Amazon Associates, LLM Configurator zarabia na kwalifikujących się zakupach.

Apple Mac mini M1 (16GB)
16 GB VRAM · 20 W board power
Ceny w 2026 są niestabilne — sprawdź aktualną ofertę.
Sprawdź cenę na Amazon

Apple M1 Specs

VRAM16 GB unified memory
Memory Bandwidth68 GB/s

Phi-4 (14B) on the Apple M1: VRAM by quantization

QuantVRAM neededFits 16 GB?Max contextWhole PC
F1630.5 GB✗ No——
Q8_017.4 GB✗ No—Build for this
Q6_K14 GB✗ No——
Q5_K_M12.4 GB✗ No—Build for this
Q4_K_M10.9 GB✓ Yes8KBuild for this
Q3_K_M8.4 GB✓ Yes16K—
Q2_K7.1 GB✓ Yes16K—

Assumes an 8K-token context with an f16 KV cache. A longer window needs more; a quantized KV cache needs less. “Max context” is the largest window that still fits in 16 GB of unified memory. Figures are estimates from parameter count, quantization and memory bandwidth — the analyzer lets you tune KV-cache quant and context.

Context costs VRAM too. At Q4_K_M on the Apple M1: 8K 10.9 GB · 16K 12.6 GB ✗. Past 16K it no longer fits 16 GB — a q8_0 KV cache buys roughly half of that back, which the calculator will price for you.

No compatible GPU? Phi-4 (14B) on 16 GB of system RAM, CPU only: runs, but it is tight.

Phi-4 Family Sizes That Fit the Apple M1 (at 8K context)

Phi-4 (14B)Q4_K_M · 10.9 GB at 8K context · ~4 tok/s (est.)
Won't fit — rent Phi-4 Family instead

Phi-4 Family needs ~11 GB but this GPU has 16 GB. Rent a RTX 4090 (24 GB)-class GPU by the hour instead of buying one:

Affiliate links — we may earn a commission if you sign up, at no extra cost to you.

RunPod $0.34/hr
Rent on RunPod →
Vast.ai $0.35/hr · typical low · varies
Rent on Vast.ai →

Cloud rates verified 2026-07 — estimates, and marketplace prices vary. Buying price is GPU MSRP only, not a full PC.

FAQ

Is the Apple M1 enough to run Phi-4 Family locally?

Yes, but it's tight — Phi-4 (14B) at Q4_K_M needs 10.9 GB at 8K context (8.5 GB weights + 2.4 GB KV cache/overhead), leaving ~1.1 GB of the Apple M1's 12 GB usable memory, at ~4 tok/s (est.), with room for up to 8K context.

What's the best Phi-4 Family size for the Apple M1?

Phi-4 (14B) at Q4_K_M quantization needs 10.9 GB at 8K context (8.5 GB weights + 2.4 GB KV cache/overhead), estimated ~4 tokens/sec, up to 8K context.

Phi-4 Family on Other GPUs

Popular Models on the Apple M1

VRAM Tier

Troubleshooting

Buying Guide

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