Can I Run Qwen 2.5 Family on NVIDIA GeForce RTX 5090?

Written by Jakub Rusinowski · Last updated September 29, 2026

Yes, comfortably — Qwen 2.5 Coder 32B at Q4_K_M needs 22.3 GB at 8K context (19.3 GB weights + 3 GB KV cache/overhead), leaving ~9.7 GB of the NVIDIA GeForce RTX 5090's 32 GB, at ~64 tok/s (est.), with room for up to 32K context.

See what else this hardware can run →

Buy this hardware NVIDIA GeForce RTX 5090 32GB — 32 GB VRAM · 575 W board powerDeploy in the cloud now RTX 5090 on RunPod

or compare on Vast.ai

As an Amazon Associate we earn from qualifying purchases. Cloud GPU links are referral links — we may earn a commission at no extra cost to you.

Affiliate disclosure: Some links on this page are affiliate links — if you buy through them, LLM Configurator may earn a commission at no extra cost to you. As an Amazon Associate, LLM Configurator earns from qualifying purchases.

NVIDIA GeForce RTX 5090 32GB
32 GB VRAM · 575 W board power
2026 prices are volatile — check the current listing.
Check price on Amazon

NVIDIA GeForce RTX 5090 Specs

VRAM32 GB
Memory Bandwidth1792 GB/s

Qwen 2.5 Coder 32B on the NVIDIA GeForce RTX 5090: VRAM by quantization

QuantVRAM neededFits 32 GB?Max contextWhole PC
F1666.9 GB✗ No——
Q8_036.9 GB✗ No——
Q6_K29.2 GB✓ Yes16K—
Q5_K_M25.6 GB✓ Yes16K—
Q4_K_M22.3 GB✓ Yes32K—
Q3_K_M16.6 GB✓ Yes64K—
Q2_K13.5 GB✓ Yes64K—

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. Figures are estimates from parameter count, quantization and memory bandwidth — the analyzer lets you tune KV-cache quant and context.

Superseded model. Qwen 2.5 Family has been superseded by Qwen 3. This page is kept for reference; the newer family is a better starting point. Can I run Qwen 3 on NVIDIA GeForce RTX 5090? →

Context costs VRAM too. At Q4_K_M on the NVIDIA GeForce RTX 5090: 8K 22.3 GB · 32K 28.7 GB · 128K 54.5 GB ✗. Past 128K 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? Qwen 2.5 Coder 32B on 32 GB of system RAM, CPU only: runs comfortably.

Qwen 2.5 Family Sizes That Fit the NVIDIA GeForce RTX 5090 (at 8K context)

Qwen 2.5 Coder 32BQ4_K_M · 22.3 GB at 8K context · ~64 tok/s (est.)
Qwen 2.5 14B InstructQ4_K_M · 10.9 GB at 8K context · ~120 tok/s (est.)
Qwen 2.5 7B InstructQ4_K_M · 5.9 GB at 8K context · ~185 tok/s (est.)
Buy vs. rent Qwen 2.5 Family
Buy the GPU
~$1,999
NVIDIA GeForce RTX 5090 · MSRP
Rent by the hour
from $0.34/hr
RTX 4090 (24 GB) class

At 2 hrs/day, buying (~$1,999) beats renting at $0.34/hr after about 8.2 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

Is the NVIDIA GeForce RTX 5090 enough to run Qwen 2.5 Family locally?

Yes, comfortably — Qwen 2.5 Coder 32B at Q4_K_M needs 22.3 GB at 8K context (19.3 GB weights + 3 GB KV cache/overhead), leaving ~9.7 GB of the NVIDIA GeForce RTX 5090's 32 GB, at ~64 tok/s (est.), with room for up to 32K context.

What's the best Qwen 2.5 Family size for the NVIDIA GeForce RTX 5090?

Qwen 2.5 Coder 32B at Q4_K_M quantization needs 22.3 GB at 8K context (19.3 GB weights + 3 GB KV cache/overhead), estimated ~64 tokens/sec, up to 32K context.

Every Qwen 2.5 Family size on the NVIDIA GeForce RTX 5090

SizeVRAM at 8KVerdictSpeed
Qwen 2.5 72B Instruct47 GBRuns at Q2_K—
Qwen 2.5 Coder 32B22.3 GBRuns~64 tok/s
Qwen 2.5 14B Instruct10.9 GBRuns~120 tok/s
Qwen 2.5 7B Instruct5.9 GBRuns~185 tok/s

Qwen 2.5 Family on Other GPUs

Popular Models on the NVIDIA GeForce RTX 5090

VRAM Tier

Troubleshooting

Buying Guide

← Can I Run It? | Qwen 2.5 Family Model Page | NVIDIA GeForce RTX 5090 GPU Page | VRAM calculator | Check Your Hardware