Can I Run Phi-4 Family on NVIDIA GeForce RTX 4060 Ti 16GB?

Autor: Jakub Rusinowski · Ostatnia aktualizacja: 12 lipca 2026

Yes, comfortably — 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 ~5.1 GB of the NVIDIA GeForce RTX 4060 Ti 16GB's 16 GB, at ~27 tok/s (est.), with room for up to 16K context.

See what else this hardware can run →

Kup ten sprzęt NVIDIA GeForce RTX 4060 Ti 16GB — 16 GB VRAM · 165 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 4060 Ti 16GB
16 GB VRAM · 165 W board power
Ceny w 2026 są niestabilne — sprawdź aktualną ofertę.
Sprawdź cenę na Amazon

NVIDIA GeForce RTX 4060 Ti 16GB Specs

VRAM16 GB
Memory Bandwidth288 GB/s

Phi-4 (14B) on the NVIDIA GeForce RTX 4060 Ti 16GB: 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✓ Yes16K—
Q5_K_M12.4 GB✓ Yes16KBuild for this
Q4_K_M10.9 GB✓ Yes16KBuild 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. 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 NVIDIA GeForce RTX 4060 Ti 16GB: 8K 10.9 GB · 16K 12.6 GB. Every window this model publishes still fits 16 GB.

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 NVIDIA GeForce RTX 4060 Ti 16GB (at 8K context)

Phi-4 (14B)Q4_K_M · 10.9 GB at 8K context · ~27 tok/s (est.)
Buy vs. rent Phi-4 Family
Buy the GPU
~$499
NVIDIA GeForce RTX 4060 Ti 16GB · MSRP
Rent by the hour
from $0.34/hr
RTX 4090 (24 GB) class

At 2 hrs/day, buying (~$499) beats renting at $0.34/hr after about 2.0 years.

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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

Is the NVIDIA GeForce RTX 4060 Ti 16GB enough to run Phi-4 Family locally?

Yes, comfortably — 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 ~5.1 GB of the NVIDIA GeForce RTX 4060 Ti 16GB's 16 GB, at ~27 tok/s (est.), with room for up to 16K context.

What's the best Phi-4 Family size for the NVIDIA GeForce RTX 4060 Ti 16GB?

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 ~27 tokens/sec, up to 16K context.

Phi-4 Family on Other GPUs

Popular Models on the NVIDIA GeForce RTX 4060 Ti 16GB

VRAM Tier

Troubleshooting

Buying Guide

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