Can I Run Qwen3 VL 8B Thinking on a AMD Ryzen AI Max+ 395 (64GB)?
Runs at full precision (f32). Zero quality loss.
13 quantizations fit your 48.0GB
| Quant | Min VRAM | Recommended | File size | Headroom |
|---|---|---|---|---|
| f32BEST | 36.2 GB | 37.7 GB | 2.3 GB | +11.8 GB |
| fp16 | 18.6 GB | 20.1 GB | 1.2 GB | +29.4 GB |
| Q8_0 | 10.3 GB | 11.8 GB | 8.7 GB | +37.6 GB |
| Q6_K | 8.3 GB | 9.8 GB | 6.7 GB | +39.8 GB |
| Q5_K_M | 7.3 GB | 8.8 GB | 5.8 GB | +40.8 GB |
| Q5_K_S | 7.1 GB | 8.6 GB | 5.7 GB | +40.9 GB |
| Q4_1 | 6.5 GB | 8.0 GB | 5.3 GB | +41.5 GB |
| Q4_K_M | 6.3 GB | 7.8 GB | 5.0 GB | +41.7 GB |
| Q4_K_S | 6.0 GB | 7.5 GB | 4.8 GB | +42.0 GB |
| Q4_0 | 6.0 GB | 7.5 GB | 4.8 GB | +42.0 GB |
| Q3_K_M | 4.7 GB | 6.2 GB | 4.1 GB | +43.3 GB |
| Q3_K_S | 4.4 GB | 5.9 GB | 3.8 GB | +43.6 GB |
| Q2_K | 3.9 GB | 5.4 GB | 3.3 GB | +44.1 GB |
Try it in the cloud first
Don't want to download Qwen3 VL 8B Thinking 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+ 395 (64GB) run Qwen3 VL 8B Thinking?
Yes. The AMD Ryzen AI Max+ 395 (64GB)'s 48.0GB of unified memory is enough to run Qwen3 VL 8B Thinking at f32 quantization (36.2GB required).
What's the best quantization to use?
f32 is the highest-precision quantization that fits in your 48.0GB. It uses about 36.2GB of memory and 37.7GB 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.