Can I Run Qwen 3.5 9B on a AMD Ryzen AI Max+ 395 (64GB)?
Runs at full precision (f32). Zero quality loss.
12 quantizations fit your 48.0GB
| Quant | Min VRAM | Recommended | File size | Headroom |
|---|---|---|---|---|
| f32BEST | 39.8 GB | 41.3 GB | 1.8 GB | +8.2 GB |
| fp16 | 20.4 GB | 21.9 GB | 0.9 GB | +27.6 GB |
| Q8_0 | 11.3 GB | 12.8 GB | 9.5 GB | +36.7 GB |
| Q6_K | 9.0 GB | 10.5 GB | 7.5 GB | +39.0 GB |
| Q5_K_M | 7.9 GB | 9.4 GB | 6.6 GB | +40.1 GB |
| Q5_K_S | 7.7 GB | 9.2 GB | 6.4 GB | +40.3 GB |
| Q4_1 | 7.1 GB | 8.6 GB | 5.8 GB | +40.9 GB |
| Q4_K_M | 6.9 GB | 8.4 GB | 5.7 GB | +41.1 GB |
| Q4_K_S | 6.5 GB | 8.1 GB | 5.4 GB | +41.5 GB |
| Q4_0 | 6.5 GB | 8.0 GB | 5.4 GB | +41.5 GB |
| Q3_K_M | 5.1 GB | 6.6 GB | 4.7 GB | +42.9 GB |
| Q3_K_S | 4.7 GB | 6.2 GB | 4.3 GB | +43.3 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 Qwen 3.5 9B?
Yes. The AMD Ryzen AI Max+ 395 (64GB)'s 48.0GB of unified memory is enough to run Qwen 3.5 9B at f32 quantization (39.8GB required).
What's the best quantization to use?
f32 is the highest-precision quantization that fits in your 48.0GB. It uses about 39.8GB of memory and 41.3GB 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.