Can I Run Yi 1.5 Family on Apple M5?

Autor: Jakub Rusinowski · Ostatnia aktualizacja: 12 lipca 2026

Yes, but it's tight — Yi 1.5 34B Chat at Q4_K_M needs 23.6 GB at 8K context (20.8 GB weights + 2.8 GB KV cache/overhead), leaving ~0.4 GB of the Apple M5's 24 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 MacBook Air M5 — 24 GB unified memory · 153 GB/sUruchom 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 MacBook Air M5
24 GB unified memory · 153 GB/s
Ceny w 2026 są niestabilne — sprawdź aktualną ofertę.
Sprawdź cenę na Amazon

Apple M5 Specs

VRAM32 GB unified memory
Memory Bandwidth153 GB/s

Yi 1.5 34B Chat on the Apple M5: VRAM by quantization

QuantVRAM neededFits 32 GB?Max contextWhole PC
F1671.6 GB✗ No——
Q8_039.4 GB✗ No——
Q6_K31 GB✗ No——
Q5_K_M27.2 GB✗ No——
Q4_K_M23.6 GB✓ Yes8K—
Q3_K_M17.5 GB✓ Yes16K—
Q2_K14.1 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 32 GB of unified memory. Figures are estimates from parameter count, quantization and memory bandwidth — the analyzer lets you tune KV-cache quant and context.

Newer alternative. 01.AI has not released a newer model in this library. If you are choosing today, Qwen 3 is a comparable current option. Can I run Qwen 3 on Apple M5? →

Context costs VRAM too. At Q4_K_M on the Apple M5: 8K 23.6 GB · 31K 29.4 GB ✗. Past 31K it no longer fits 32 GB — a q8_0 KV cache buys roughly half of that back, which the calculator will price for you.

No compatible GPU? Yi 1.5 34B Chat on 32 GB of system RAM, CPU only: runs comfortably.

Yi 1.5 Family Sizes That Fit the Apple M5 (at 8K context)

Yi 1.5 34B ChatQ4_K_M · 23.6 GB at 8K context · ~4 tok/s (est.)
Yi 1.5 9B ChatQ4_K_M · 6.9 GB at 8K context · ~14 tok/s (est.)
Won't fit — rent Yi 1.5 Family instead

Yi 1.5 Family needs ~24 GB but this GPU has 32 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 M5 enough to run Yi 1.5 Family locally?

Yes, but it's tight — Yi 1.5 34B Chat at Q4_K_M needs 23.6 GB at 8K context (20.8 GB weights + 2.8 GB KV cache/overhead), leaving ~0.4 GB of the Apple M5's 24 GB usable memory, at ~4 tok/s (est.), with room for up to 8K context.

What's the best Yi 1.5 Family size for the Apple M5?

Yi 1.5 34B Chat at Q4_K_M quantization needs 23.6 GB at 8K context (20.8 GB weights + 2.8 GB KV cache/overhead), estimated ~4 tokens/sec, up to 8K context.

Every Yi 1.5 Family size on the Apple M5

SizeVRAM at 8KVerdictSpeed
Yi 1.5 34B Chat23.6 GBRuns~4 tok/s
Yi 1.5 9B Chat6.9 GBRuns~14 tok/s

Yi 1.5 Family on Other GPUs

Popular Models on the Apple M5

VRAM Tier

Troubleshooting

Buying Guide

← Can I Run It? | Yi 1.5 Family Model Page | Apple M5 GPU Page | VRAM calculator | Check Your Hardware