Can I Run Qwen3 Next 80B A3B Thinking on a AMD Ryzen AI Max 390 (64GB)?
Runs at Q4_K_S — good quality with reasonable headroom.
5 quantizations fit your 48.0GB
| Quant | Min VRAM | Recommended | File size | Headroom |
|---|---|---|---|---|
| Q4_K_SBEST | 47.5 GB | 49.0 GB | 45.5 GB | +0.5 GB |
| Q4_0 | 46.7 GB | 48.2 GB | 45.3 GB | +1.3 GB |
| Q3_K_M | 35.0 GB | 36.5 GB | 38.3 GB | +13.0 GB |
| Q3_K_S | 32.3 GB | 33.8 GB | 34.6 GB | +15.7 GB |
| Q2_K | 27.7 GB | 29.2 GB | 29.2 GB | +20.3 GB |
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Top-ranked open-source models that fit in 48.0GB.
FAQ
Can the AMD Ryzen AI Max 390 (64GB) run Qwen3 Next 80B A3B Thinking?
Yes. The AMD Ryzen AI Max 390 (64GB)'s 48.0GB of unified memory is enough to run Qwen3 Next 80B A3B Thinking at Q4_K_S quantization (47.5GB required).
What's the best quantization to use?
Q4_K_S is the highest-precision quantization that fits in your 48.0GB. It uses about 47.5GB of memory and 49.0GB 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.