Can I Run Qwen 3.5 9B on a AMD Ryzen AI Max 390 (64GB)?
Runs at full precision (fp16). Zero quality loss.
5 quantizations fit your 48.0GB
| Quant | Min VRAM | Recommended | File size | Headroom |
|---|---|---|---|---|
| fp16BEST | 19.0 GB | 20.5 GB | 18.0 GB | +29.0 GB |
| Q8_0 | 10.6 GB | 12.1 GB | 9.6 GB | +37.4 GB |
| Q6_K | 8.4 GB | 9.9 GB | 7.4 GB | +39.6 GB |
| Q5_K_M | 7.4 GB | 8.9 GB | 6.4 GB | +40.6 GB |
| Q4_K_M | 6.5 GB | 8.0 GB | 5.5 GB | +41.5 GB |
Try it in the cloud first
Don't want to download Qwen 3.5 9B just to try it? Use a hosted API or rent a GPU by the second.
Affiliate links — we earn a commission at no cost to you.
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 390 (64GB) run Qwen 3.5 9B?
Yes. The AMD Ryzen AI Max 390 (64GB)'s 48.0GB of unified memory is enough to run Qwen 3.5 9B at fp16 quantization (19.0GB required).
What's the best quantization to use?
fp16 is the highest-precision quantization that fits in your 48.0GB. It uses about 19.0GB of memory and 20.5GB 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.