Can I Run diffusiongemma 26B A4B it on a AMD RX 7900 XT?
Runs at Q5_K_M — good quality with reasonable headroom.
2 quantizations fit your 20.0GB
| Quant | Min VRAM | Recommended | File size | Headroom |
|---|---|---|---|---|
| Q5_K_MBEST | 19.3 GB | 20.8 GB | 19.1 GB | +0.7 GB |
| Q4_K_M | 16.6 GB | 18.1 GB | 16.8 GB | +3.4 GB |
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FAQ
Can the AMD RX 7900 XT run diffusiongemma 26B A4B it?
Yes. The AMD RX 7900 XT's 20.0GB of VRAM is enough to run diffusiongemma 26B A4B it at Q5_K_M quantization (19.3GB required).
What's the best quantization to use?
Q5_K_M is the highest-precision quantization that fits in your 20.0GB. It uses about 19.3GB of memory and 20.8GB 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.