Can I Run Qwen3 Next 80B A3B Thinking on a AMD Ryzen AI Max+ 395 (128GB)?
Runs at Q8_0 — near-lossless quality.
10 quantizations fit your 96.0GB
| Quant | Min VRAM | Recommended | File size | Headroom |
|---|---|---|---|---|
| Q8_0BEST | 87.4 GB | 88.9 GB | 84.8 GB | +8.6 GB |
| Q6_K | 68.0 GB | 69.5 GB | 65.5 GB | +28.0 GB |
| Q5_K_M | 58.7 GB | 60.2 GB | 56.7 GB | +37.3 GB |
| Q5_0 | 56.9 GB | 58.4 GB | 55.0 GB | +39.1 GB |
| Q4_K_M | 50.3 GB | 51.8 GB | 48.4 GB | +45.7 GB |
| Q4_K_S | 47.5 GB | 49.0 GB | 45.5 GB | +48.5 GB |
| Q4_0 | 46.7 GB | 48.2 GB | 45.3 GB | +49.3 GB |
| Q3_K_M | 35.0 GB | 36.5 GB | 38.3 GB | +61.0 GB |
| Q3_K_S | 32.3 GB | 33.8 GB | 34.6 GB | +63.7 GB |
| Q2_K | 27.7 GB | 29.2 GB | 29.2 GB | +68.3 GB |
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All quant variants, benchmark scores, and use-case tags.
Top-ranked open-source models that fit in 96.0GB.
FAQ
Can the AMD Ryzen AI Max+ 395 (128GB) run Qwen3 Next 80B A3B Thinking?
Yes. The AMD Ryzen AI Max+ 395 (128GB)'s 96.0GB of unified memory is enough to run Qwen3 Next 80B A3B Thinking at Q8_0 quantization (87.4GB required).
What's the best quantization to use?
Q8_0 is the highest-precision quantization that fits in your 96.0GB. It uses about 87.4GB of memory and 88.9GB 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.