Can I Run diffusiongemma 26B A4B it on a AMD Ryzen AI Max+ 395 (64GB)?
Runs at Q8_0 — near-lossless quality.
4 quantizations fit your 48.0GB
| Quant | Min VRAM | Recommended | File size | Headroom |
|---|---|---|---|---|
| Q8_0BEST | 28.4 GB | 29.9 GB | 26.9 GB | +19.6 GB |
| Q6_K | 22.3 GB | 23.8 GB | 22.6 GB | +25.8 GB |
| Q5_K_M | 19.3 GB | 20.8 GB | 19.1 GB | +28.7 GB |
| Q4_K_M | 16.6 GB | 18.1 GB | 16.8 GB | +31.4 GB |
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FAQ
Can the AMD Ryzen AI Max+ 395 (64GB) run diffusiongemma 26B A4B it?
Yes. The AMD Ryzen AI Max+ 395 (64GB)'s 48.0GB of unified memory is enough to run diffusiongemma 26B A4B it at Q8_0 quantization (28.4GB required).
What's the best quantization to use?
Q8_0 is the highest-precision quantization that fits in your 48.0GB. It uses about 28.4GB of memory and 29.9GB 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.