Can I Run Yi 1.5 Family on NVIDIA GeForce RTX 5060?

Autor: Jakub Rusinowski · Ostatnia aktualizacja: 12 lipca 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 ~1.1 GB of the NVIDIA GeForce RTX 5060's 8 GB, at ~58 tok/s (est.), with room for up to 16K context.

See what else this hardware can run →

Kup ten sprzęt NVIDIA GeForce RTX 5060 8GB — 8 GB VRAM · 145 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 5060 8GB
8 GB VRAM · 145 W board power
Ceny w 2026 są niestabilne — sprawdź aktualną ofertę.
Sprawdź cenę na Amazon

NVIDIA GeForce RTX 5060 Specs

VRAM8 GB
Memory Bandwidth448 GB/s

Yi 1.5 9B Chat on the NVIDIA GeForce RTX 5060: VRAM by quantization

QuantVRAM neededFits 8 GB?Max contextWhole PC
F1619.3 GB✗ No——
Q8_011 GB✗ No——
Q6_K8.8 GB✗ No——
Q5_K_M7.9 GB✓ Yes8K—
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 8 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 5060? →

Context costs VRAM too. At Q4_K_M on the NVIDIA GeForce RTX 5060: 8K 6.9 GB · 31K 9.3 GB ✗. Past 31K it no longer fits 8 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 9B Chat on 8 GB of system RAM, CPU only: runs.

Yi 1.5 Family Sizes That Fit the NVIDIA GeForce RTX 5060 (at 8K context)

Yi 1.5 9B ChatQ4_K_M · 6.9 GB at 8K context · ~58 tok/s (est.)
Buy vs. rent Yi 1.5 Family
Buy the GPU
~$299
NVIDIA GeForce RTX 5060 · MSRP
Rent by the hour
from $0.34/hr
RTX 4090 (24 GB) class

At 2 hrs/day, buying (~$299) beats renting at $0.34/hr after about 15 months.

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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

Does the NVIDIA GeForce RTX 5060 have enough VRAM for Yi 1.5 Family?

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 ~1.1 GB of the NVIDIA GeForce RTX 5060's 8 GB, at ~58 tok/s (est.), with room for up to 16K context.

Which quantization of Yi 1.5 Family should I use on the NVIDIA GeForce RTX 5060?

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 ~58 tokens/sec, up to 16K context.

Every Yi 1.5 Family size on the NVIDIA GeForce RTX 5060

SizeVRAM at 8KVerdictSpeed
Yi 1.5 34B Chat23.6 GBDoes not fit—
Yi 1.5 9B Chat6.9 GBRuns~58 tok/s

Yi 1.5 Family on Other GPUs

Popular Models on the NVIDIA GeForce RTX 5060

VRAM Tier

Troubleshooting

Buying Guide

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