Can I Run Yi 1.5 Family on NVIDIA GeForce RTX 4070 Ti?

Autor: Jakub Rusinowski · Ostatnia aktualizacja: 29 września 2026

Yes, comfortably — Yi 1.5 9B Chat at Q4_K_M needs 6.9 GB at 8K context (5.3 GB weights + 1.6 GB KV cache/overhead), leaving ~5.1 GB of the NVIDIA GeForce RTX 4070 Ti's 12 GB, at ~69 tok/s (est.), with room for up to 16K context.

See what else this hardware can run →

Kup ten sprzęt NVIDIA GeForce RTX 4070 Ti 12GB — 12 GB VRAM · 285 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.

NVIDIA GeForce RTX 4070 Ti 12GB
12 GB VRAM · 285 W board power
Ceny w 2026 są niestabilne — sprawdź aktualną ofertę.
Sprawdź cenę na Amazon

NVIDIA GeForce RTX 4070 Ti Specs

VRAM12 GB
Memory Bandwidth504 GB/s

Yi 1.5 9B Chat on the NVIDIA GeForce RTX 4070 Ti: VRAM by quantization

QuantVRAM neededFits 12 GB?Max contextWhole PC
F1619.3 GB✗ No——
Q8_011 GB✓ Yes16K—
Q6_K8.8 GB✓ Yes16K—
Q5_K_M7.9 GB✓ Yes16K—
Q4_K_M6.9 GB✓ Yes16K—
Q3_K_M5.4 GB✓ Yes16K—
Q2_K4.5 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 12 GB. 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 NVIDIA GeForce RTX 4070 Ti? →

Context costs VRAM too. At Q4_K_M on the NVIDIA GeForce RTX 4070 Ti: 8K 6.9 GB · 31K 9.3 GB. Every window this model publishes still fits 12 GB.

No compatible GPU? Yi 1.5 9B Chat on 8 GB of system RAM, CPU only: runs.

Yi 1.5 Family Sizes That Fit the NVIDIA GeForce RTX 4070 Ti (at 8K context)

Yi 1.5 9B ChatQ4_K_M · 6.9 GB at 8K context · ~69 tok/s (est.)
Buy vs. rent Yi 1.5 Family
Buy the GPU
~$799
NVIDIA GeForce RTX 4070 Ti · MSRP
Rent by the hour
from $0.34/hr
RTX 4090 (24 GB) class

At 2 hrs/day, buying (~$799) beats renting at $0.34/hr after about 3.3 years.

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

Yi 1.5 Family on the NVIDIA GeForce RTX 4070 Ti — does it fit?

Yes, comfortably — Yi 1.5 9B Chat at Q4_K_M needs 6.9 GB at 8K context (5.3 GB weights + 1.6 GB KV cache/overhead), leaving ~5.1 GB of the NVIDIA GeForce RTX 4070 Ti's 12 GB, at ~69 tok/s (est.), with room for up to 16K context.

Which Yi 1.5 Family variant fits best on the NVIDIA GeForce RTX 4070 Ti?

Yi 1.5 9B Chat at Q4_K_M quantization needs 6.9 GB at 8K context (5.3 GB weights + 1.6 GB KV cache/overhead), estimated ~69 tokens/sec, up to 16K context.

Every Yi 1.5 Family size on the NVIDIA GeForce RTX 4070 Ti

SizeVRAM at 8KVerdictSpeed
Yi 1.5 34B Chat23.6 GBDoes not fit—
Yi 1.5 9B Chat6.9 GBRuns~69 tok/s

Yi 1.5 Family on Other GPUs

Popular Models on the NVIDIA GeForce RTX 4070 Ti

VRAM Tier

Troubleshooting

Buying Guide

← Can I Run It? | Yi 1.5 Family Model Page | NVIDIA GeForce RTX 4070 Ti GPU Page | VRAM calculator | Check Your Hardware