Can I Run Qwen3 VL 32B Instruct on a AMD Ryzen AI Max+ 395 (64GB)?
Runs at Q8_0 — near-lossless quality.
11 quantizations fit your 48.0GB
| Quant | Min VRAM | Recommended | File size | Headroom |
|---|---|---|---|---|
| Q8_0BEST | 36.5 GB | 38.0 GB | 34.8 GB | +11.5 GB |
| Q6_K | 28.5 GB | 30.0 GB | 26.9 GB | +19.5 GB |
| Q5_K_M | 24.7 GB | 26.2 GB | 23.2 GB | +23.3 GB |
| Q5_K_S | 24.1 GB | 25.6 GB | 22.6 GB | +23.9 GB |
| Q4_1 | 21.9 GB | 23.4 GB | 20.6 GB | +26.1 GB |
| Q4_K_M | 21.3 GB | 22.8 GB | 19.8 GB | +26.8 GB |
| Q4_K_S | 20.1 GB | 21.6 GB | 18.8 GB | +27.9 GB |
| Q4_0 | 19.8 GB | 21.3 GB | 18.7 GB | +28.2 GB |
| Q3_K_M | 15.0 GB | 16.5 GB | 16.0 GB | +33.0 GB |
| Q3_K_S | 13.9 GB | 15.4 GB | 14.4 GB | +34.1 GB |
| Q2_K | 12.0 GB | 13.5 GB | 12.3 GB | +36.0 GB |
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All quant variants, benchmark scores, and use-case tags.
Top-ranked open-source models that fit in 48.0GB.
FAQ
Can the AMD Ryzen AI Max+ 395 (64GB) run Qwen3 VL 32B Instruct?
Yes. The AMD Ryzen AI Max+ 395 (64GB)'s 48.0GB of unified memory is enough to run Qwen3 VL 32B Instruct at Q8_0 quantization (36.5GB required).
What's the best quantization to use?
Q8_0 is the highest-precision quantization that fits in your 48.0GB. It uses about 36.5GB of memory and 38.0GB 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.