Can I Run Qwen3 32B on a AMD RX 7900 XTX?
Yes
Runs at Q5_K_S — good quality with reasonable headroom.
Model size
32.8B
GPU memory
24.0GB
Smallest quant
Q2_K
Best fit
Q5_K_S
10 quantizations fit your 24.0GB
| Quant | Min VRAM | Recommended | File size | Headroom |
|---|---|---|---|---|
| Q5_K_SBEST | 23.6 GB | 25.1 GB | 22.6 GB | +0.4 GB |
| Q5_0 | 23.6 GB | 25.1 GB | 22.6 GB | +0.4 GB |
| Q4_1 | 21.5 GB | 23.0 GB | 20.6 GB | +2.5 GB |
| Q4_K_M | 20.9 GB | 22.4 GB | 19.8 GB | +3.1 GB |
| Q4_K_S | 19.8 GB | 21.3 GB | 18.8 GB | +4.2 GB |
| Q4_0 | 19.4 GB | 20.9 GB | 18.7 GB | +4.6 GB |
| Q3_K_L | 15.6 GB | 17.1 GB | 17.3 GB | +8.4 GB |
| Q3_K_M | 14.7 GB | 16.2 GB | 16.0 GB | +9.3 GB |
| Q3_K_S | 13.6 GB | 15.1 GB | 14.4 GB | +10.4 GB |
| Q2_K | 11.8 GB | 13.3 GB | 12.3 GB | +12.2 GB |
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Full model details
Qwen3 32B →
All quant variants, benchmark scores, and use-case tags.
Best models for this GPU
AMD RX 7900 XTX →
Top-ranked open-source models that fit in 24.0GB.
FAQ
Can the AMD RX 7900 XTX run Qwen3 32B?
Yes. The AMD RX 7900 XTX's 24.0GB of VRAM is enough to run Qwen3 32B at Q5_K_S quantization (23.6GB required).
What's the best quantization to use?
Q5_K_S is the highest-precision quantization that fits in your 24.0GB. It uses about 23.6GB of memory and 25.1GB recommended for comfortable inference.
What if I need more headroom for context length?
KV cache memory grows with context length. The numbers above assume a baseline 2K-4K context. For long-context use (32K+), add another 2-6GB depending on the model architecture.