Can I Run Qwen 3.6 35B A3B on a AMD Ryzen AI Max+ 395 (128GB)?
Runs at full precision (fp16). Zero quality loss.
10 quantizations fit your 96.0GB
| Quant | Min VRAM | Recommended | File size | Headroom |
|---|---|---|---|---|
| fp16BEST | 73.0 GB | 74.5 GB | 0.9 GB | +23.0 GB |
| Q8_0 | 39.3 GB | 40.8 GB | 36.9 GB | +56.8 GB |
| Q6_K | 30.7 GB | 32.2 GB | 29.3 GB | +65.3 GB |
| Q5_K_M | 26.6 GB | 28.1 GB | 26.5 GB | +69.4 GB |
| Q5_K_S | 25.8 GB | 27.3 GB | 24.9 GB | +70.2 GB |
| Q4_K_M | 22.8 GB | 24.3 GB | 22.1 GB | +73.2 GB |
| Q4_K_S | 21.6 GB | 23.1 GB | 20.9 GB | +74.4 GB |
| Q4_0 | 21.3 GB | 22.8 GB | 1.1 GB | +74.8 GB |
| Q3_K_M | 16.1 GB | 17.6 GB | 16.6 GB | +79.9 GB |
| Q3_K_S | 14.9 GB | 16.4 GB | 15.4 GB | +81.1 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 Qwen 3.6 35B A3B?
Yes. The AMD Ryzen AI Max+ 395 (128GB)'s 96.0GB of unified memory is enough to run Qwen 3.6 35B A3B at fp16 quantization (73.0GB required).
What's the best quantization to use?
fp16 is the highest-precision quantization that fits in your 96.0GB. It uses about 73.0GB of memory and 74.5GB 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.