Can I Run diffusiongemma 26B A4B it on a Apple M3 Pro (18GB)?
Runs at Q4_K_M — good quality with reasonable headroom.
1 quant fit your 18.0GB
| Quant | Min VRAM | Recommended | File size | Headroom |
|---|---|---|---|---|
| Q4_K_MBEST | 16.6 GB | 18.1 GB | 16.8 GB | +1.4 GB |
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FAQ
Can the Apple M3 Pro (18GB) run diffusiongemma 26B A4B it?
Yes. The Apple M3 Pro (18GB)'s 18.0GB of unified memory is enough to run diffusiongemma 26B A4B it at Q4_K_M quantization (16.6GB required).
What's the best quantization to use?
Q4_K_M is the highest-precision quantization that fits in your 18.0GB. It uses about 16.6GB of memory and 18.1GB 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.