Can I Run Qwen3 32B on a AMD RX 7900 XT?
Yes
Runs at Q4_K_S — good quality with reasonable headroom.
Model size
32.8B
GPU memory
20.0GB
Smallest quant
Q2_K
Best fit
Q4_K_S
6 quantizations fit your 20.0GB
| Quant | Min VRAM | Recommended | File size | Headroom |
|---|---|---|---|---|
| Q4_K_SBEST | 19.8 GB | 21.3 GB | 18.8 GB | +0.2 GB |
| Q4_0 | 19.4 GB | 20.9 GB | 18.7 GB | +0.6 GB |
| Q3_K_L | 15.6 GB | 17.1 GB | 17.3 GB | +4.4 GB |
| Q3_K_M | 14.7 GB | 16.2 GB | 16.0 GB | +5.3 GB |
| Q3_K_S | 13.6 GB | 15.1 GB | 14.4 GB | +6.4 GB |
| Q2_K | 11.8 GB | 13.3 GB | 12.3 GB | +8.2 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 XT →
Top-ranked open-source models that fit in 20.0GB.
FAQ
Can the AMD RX 7900 XT run Qwen3 32B?
Yes. The AMD RX 7900 XT's 20.0GB of VRAM is enough to run Qwen3 32B at Q4_K_S quantization (19.8GB required).
What's the best quantization to use?
Q4_K_S is the highest-precision quantization that fits in your 20.0GB. It uses about 19.8GB of memory and 21.3GB 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.