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AMD Radeon RX 9060 XT 16GB
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Compatibility Report

QwQ 32B Preview on AMD Radeon RX 9060 XT 16GB

AMD Radeon RX 9060 XT 16GB runs QwQ 32B Preview at Q2_K. Usable on 16 GB VRAM — see full quantization options below.

Model Size

32.5B

Device VRAM

16 GB

Bandwidth

320 GB/s

Quantization

Q2_K

Benchmarks

Performance by Quantization

OwnRig currently has one published compatibility entry for QwQ 32B Preview on AMD Radeon RX 9060 XT 16GB at Q2_K. This is the best supported pairing we can stand behind today.

QuantizationSpeedTTFTFits in VRAMRatingConfidence
Q2_K––✓ YesAcceptableestimated

Notes

Q2_K

RDNA 4 card with improving ROCm support; Vulkan remains the safer default in llama.cpp. Q2_K fits in VRAM on this card.

About QwQ 32B Preview

QwQ 32B Preview (32.5B) is a reasoning, coding, ai coding, ai building model. Reasoning-focused model that uses chain-of-thought natively. Builders pair this with a coding model for complex architecture decisions. Approaches o1-mini on reasoning benchmarks. Same size as Qwen 2.5 Coder 32B, so they compete for VRAM; run one at a time, not concurrently.

View all QwQ 32B Preview hardware options →

About AMD Radeon RX 9060 XT 16GB

AMD Radeon RX 9060 XT 16GB has 16 GB at 320 GB/s. Street price: $349.

See all models AMD Radeon RX 9060 XT 16GB can run →

Estimate method: Estimated from model VRAM requirements and AMD runtime maturity. Reference hardware source: github.com (2026-05-26)

Performance varies by driver version, inference engine, quantization method, context length, and system configuration. Figures shown are estimates based on community benchmarks and may not reflect your exact setup. Product names are trademarks of their respective owners. OwnRig is independent and not affiliated with any hardware or AI model provider.

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Trademark Notice: NVIDIA, GeForce, and RTX are trademarks of NVIDIA Corporation. AMD and Radeon are trademarks of Advanced Micro Devices, Inc. Apple, Mac, and Apple Silicon are trademarks of Apple Inc. All other product names, logos, and brands are property of their respective owners. AI model names (Llama, Gemma, Mistral, Qwen, etc.) are trademarks of their respective creators. Use of these names and logos is for identification purposes only and does not imply endorsement.

Independence & Affiliates: OwnRig is an independent resource. We are not affiliated with, endorsed by, or sponsored by any hardware manufacturer, AI model provider, or retailer. Our recommendations are based on technical merit and community benchmarks. Some links on this site are affiliate links. If you purchase through them, we may earn a small commission at no extra cost to you. This does not influence our recommendations.

Data Accuracy: Performance figures are estimates based on community benchmarks and may vary by configuration, driver version, and software. Prices are approximate US retail as of March 2026 and may vary by retailer and region. VRAM requirements are calculated from model parameters with overhead estimates. Always verify specifications with manufacturer documentation before purchasing.

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