Can I Run Qwen3 VL 30B A3B Instruct on a AMD RX 7900 XT?
Runs at Q4_K_M — good quality with reasonable headroom.
6 quantizations fit your 20.0GB
| Quant | Min VRAM | Recommended | File size | Headroom |
|---|---|---|---|---|
| Q4_K_MBEST | 19.9 GB | 21.4 GB | 18.6 GB | +0.1 GB |
| Q4_K_S | 18.8 GB | 20.3 GB | 17.5 GB | +1.2 GB |
| Q4_0 | 18.5 GB | 20.0 GB | 17.4 GB | +1.5 GB |
| Q3_K_M | 14.0 GB | 15.5 GB | 14.7 GB | +6.0 GB |
| Q3_K_S | 13.0 GB | 14.5 GB | 13.3 GB | +7.0 GB |
| Q2_K | 11.2 GB | 12.7 GB | 11.3 GB | +8.8 GB |
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Top-ranked open-source models that fit in 20.0GB.
FAQ
Can the AMD RX 7900 XT run Qwen3 VL 30B A3B Instruct?
Yes. The AMD RX 7900 XT's 20.0GB of VRAM is enough to run Qwen3 VL 30B A3B Instruct at Q4_K_M quantization (19.9GB required).
What's the best quantization to use?
Q4_K_M is the highest-precision quantization that fits in your 20.0GB. It uses about 19.9GB of memory and 21.4GB 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.