Can I Run Qwen3 VL 30B A3B Thinking on a AMD Ryzen AI Max+ 395 (128GB)?
Runs at full precision (fp16). Zero quality loss.
12 quantizations fit your 96.0GB
| Quant | Min VRAM | Recommended | File size | Headroom |
|---|---|---|---|---|
| fp16BEST | 63.2 GB | 64.7 GB | 1.1 GB | +32.8 GB |
| Q8_0 | 34.0 GB | 35.5 GB | 32.5 GB | +62.0 GB |
| Q6_K | 26.6 GB | 28.1 GB | 25.1 GB | +69.4 GB |
| Q5_K_M | 23.1 GB | 24.6 GB | 21.7 GB | +72.9 GB |
| Q5_K_S | 22.5 GB | 24.0 GB | 21.1 GB | +73.5 GB |
| Q4_1 | 20.4 GB | 21.9 GB | 19.2 GB | +75.6 GB |
| Q4_K_M | 19.9 GB | 21.4 GB | 18.6 GB | +76.2 GB |
| Q4_K_S | 18.8 GB | 20.3 GB | 17.5 GB | +77.2 GB |
| Q4_0 | 18.5 GB | 20.0 GB | 17.4 GB | +77.5 GB |
| Q3_K_M | 14.0 GB | 15.5 GB | 14.7 GB | +82.0 GB |
| Q3_K_S | 13.0 GB | 14.5 GB | 13.3 GB | +83.0 GB |
| Q2_K | 11.2 GB | 12.7 GB | 11.3 GB | +84.8 GB |
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Top-ranked open-source models that fit in 96.0GB.
FAQ
Can the AMD Ryzen AI Max+ 395 (128GB) run Qwen3 VL 30B A3B Thinking?
Yes. The AMD Ryzen AI Max+ 395 (128GB)'s 96.0GB of unified memory is enough to run Qwen3 VL 30B A3B Thinking at fp16 quantization (63.2GB required).
What's the best quantization to use?
fp16 is the highest-precision quantization that fits in your 96.0GB. It uses about 63.2GB of memory and 64.7GB 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.