Can I Run Phi 3.5 Family on NVIDIA GeForce RTX 5060 Ti 8GB?

Autor: Jakub Rusinowski · Ostatnia aktualizacja: 12 lipca 2026

Yes, comfortably — Phi 3.5 Mini at Q4_K_M needs 3.9 GB at 8K context (2.3 GB weights + 1.6 GB KV cache/overhead), leaving ~4.1 GB of the NVIDIA GeForce RTX 5060 Ti 8GB's 8 GB, at ~107 tok/s (est.), with room for up to 32K context.

See what else this hardware can run →

Kup ten sprzęt NVIDIA GeForce RTX 5060 Ti 8GB — 8 GB VRAM · 180 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 Ti 8GB
8 GB VRAM · 180 W board power
Ceny w 2026 są niestabilne — sprawdź aktualną ofertę.
Sprawdź cenę na Amazon

NVIDIA GeForce RTX 5060 Ti 8GB Specs

VRAM8 GB
Memory Bandwidth448 GB/s

Phi 3.5 Mini on the NVIDIA GeForce RTX 5060 Ti 8GB: VRAM by quantization

QuantVRAM neededFits 8 GB?Max contextWhole PC
F169.2 GB✗ No——
Q8_05.6 GB✓ Yes16K—
Q6_K4.7 GB✓ Yes32K—
Q5_K_M4.3 GB✓ Yes32K—
Q4_K_M3.9 GB✓ Yes32K—
Q3_K_M3.2 GB✓ Yes32K—
Q2_K2.9 GB✓ Yes32K—

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.

Superseded model. Phi 3.5 Family has been superseded by Phi-4 Family. This page is kept for reference; the newer family is a better starting point. Phi-4 Family needs at least 10.9 GB at Q4_K_M with an 8K context, so it does not fit the NVIDIA GeForce RTX 5060 Ti 8GB.

Context costs VRAM too. At Q4_K_M on the NVIDIA GeForce RTX 5060 Ti 8GB: 8K 3.9 GB · 32K 6.3 GB · 128K 16 GB ✗. Past 128K 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? Phi 3.5 Mini on 8 GB of system RAM, CPU only: runs.

Phi 3.5 Family Sizes That Fit the NVIDIA GeForce RTX 5060 Ti 8GB (at 8K context)

Phi 3.5 MiniQ4_K_M · 3.9 GB at 8K context · ~107 tok/s (est.)
Buy vs. rent Phi 3.5 Family
Buy the GPU
~$379
NVIDIA GeForce RTX 5060 Ti 8GB · MSRP
Rent by the hour
from $0.34/hr
RTX 4090 (24 GB) class

At 2 hrs/day, buying (~$379) beats renting at $0.34/hr after about 19 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

Is the NVIDIA GeForce RTX 5060 Ti 8GB enough to run Phi 3.5 Family locally?

Yes, comfortably — Phi 3.5 Mini at Q4_K_M needs 3.9 GB at 8K context (2.3 GB weights + 1.6 GB KV cache/overhead), leaving ~4.1 GB of the NVIDIA GeForce RTX 5060 Ti 8GB's 8 GB, at ~107 tok/s (est.), with room for up to 32K context.

What's the best Phi 3.5 Family size for the NVIDIA GeForce RTX 5060 Ti 8GB?

Phi 3.5 Mini at Q4_K_M quantization needs 3.9 GB at 8K context (2.3 GB weights + 1.6 GB KV cache/overhead), estimated ~107 tokens/sec, up to 32K context.

Phi 3.5 Family on Other GPUs

Popular Models on the NVIDIA GeForce RTX 5060 Ti 8GB

VRAM Tier

Troubleshooting

Buying Guide

← Can I Run It? | Phi 3.5 Family Model Page | NVIDIA GeForce RTX 5060 Ti 8GB GPU Page | VRAM calculator | Check Your Hardware