Can I Run Qwen3 30B A3B Thinking 2507 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 | 33.4 GB | 34.9 GB | 32.5 GB | +14.6 GB |
| Q6_K | 26.1 GB | 27.6 GB | 25.1 GB | +21.9 GB |
| Q5_K_M | 22.7 GB | 24.2 GB | 21.7 GB | +25.3 GB |
| Q5_K_S | 22.1 GB | 23.6 GB | 21.1 GB | +25.9 GB |
| Q4_1 | 20.1 GB | 21.6 GB | 19.2 GB | +27.9 GB |
| Q4_K_M | 19.5 GB | 21.0 GB | 18.6 GB | +28.5 GB |
| Q4_K_S | 18.5 GB | 20.0 GB | 17.5 GB | +29.5 GB |
| Q4_0 | 18.2 GB | 19.7 GB | 17.4 GB | +29.8 GB |
| Q3_K_M | 13.8 GB | 15.3 GB | 14.7 GB | +34.2 GB |
| Q3_K_S | 12.7 GB | 14.2 GB | 13.3 GB | +35.3 GB |
| Q2_K | 11.0 GB | 12.5 GB | 11.3 GB | +37.0 GB |
Try it in the cloud first
Don't want to download Qwen3 30B A3B Thinking 2507 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 30B A3B Thinking 2507?
Yes. The AMD Ryzen AI Max+ 395 (64GB)'s 48.0GB of unified memory is enough to run Qwen3 30B A3B Thinking 2507 at Q8_0 quantization (33.4GB required).
What's the best quantization to use?
Q8_0 is the highest-precision quantization that fits in your 48.0GB. It uses about 33.4GB of memory and 34.9GB 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.