QwenQwen3-32B Instruct on AMD Radeon RX 7900 XTX
AMD Radeon RX 7900 XTX cannot run Qwen3-32B Instruct. 24 GB VRAM is insufficient at any quantization level.
Model Size
32B
Device VRAM
24 GB
Bandwidth
960 GB/s
Quantization
Q5_K_M
Performance by Quantization
OwnRig currently has one published compatibility entry for Qwen3-32B Instruct on AMD Radeon RX 7900 XTX at Q5_K_M. This pairing has limitations — check the rating and notes below.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| Q5_K_M | 17 tok/s | 528ms | ✗ Offload | Acceptable | estimated |
Notes
Q5_K_M
Q5_K_M file is 23.2 GB, which with runtime overhead pushes past the 24 GB VRAM limit. Use Q4_K_M (19.8 GB) for reliable full-VRAM operation. ROCm recommended for Radeon.
About Qwen3-32B Instruct
Qwen3-32B Instruct (32B) is a chat, coding, ai coding, reasoning, multi-purpose model. Qwen 3 dense 32B instruct for high-quality local inference where VRAM allows; 32K default and 128K max context. Apache 2.0.
View all Qwen3-32B Instruct hardware options →About AMD Radeon RX 7900 XTX
AMD Radeon RX 7900 XTX has 24 GB at 960 GB/s. Street price: $849.
See all models AMD Radeon RX 7900 XTX can run →Builds with AMD Radeon RX 7900 XTX
Estimate method: Estimated from rtx-4090 compatibility patterns plus ROCm/Vulkan adjustments. Reference hardware source: github.com (2026-03-26)
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.