Can I Run diffusiongemma 26B A4B it on a Apple M2 Pro (32GB)?
Runs at Q8_0 — near-lossless quality.
4 quantizations fit your 32.0GB
| Quant | Min VRAM | Recommended | File size | Headroom |
|---|---|---|---|---|
| Q8_0BEST | 28.4 GB | 29.9 GB | 26.9 GB | +3.6 GB |
| Q6_K | 22.3 GB | 23.8 GB | 22.6 GB | +9.8 GB |
| Q5_K_M | 19.3 GB | 20.8 GB | 19.1 GB | +12.7 GB |
| Q4_K_M | 16.6 GB | 18.1 GB | 16.8 GB | +15.4 GB |
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FAQ
Can the Apple M2 Pro (32GB) run diffusiongemma 26B A4B it?
Yes. The Apple M2 Pro (32GB)'s 32.0GB 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 32.0GB. 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.