Can I Run gemma 4 31B on a Apple M1 Max (32GB)?
Runs comfortably at Q6_K — minimal quality loss.
9 quantizations fit your 32.0GB
| Quant | Min VRAM | Recommended | File size | Headroom |
|---|---|---|---|---|
| Q6_KBEST | 27.9 GB | 29.4 GB | 25.2 GB | +4.1 GB |
| Q5_K_M | 24.2 GB | 25.7 GB | 21.9 GB | +7.8 GB |
| Q5_K_S | 23.6 GB | 25.1 GB | 21.3 GB | +8.4 GB |
| Q4_K_M | 20.8 GB | 22.3 GB | 18.7 GB | +11.2 GB |
| Q4_K_S | 19.7 GB | 21.2 GB | 17.8 GB | +12.3 GB |
| Q3_K_L | 15.6 GB | 17.1 GB | 16.6 GB | +16.4 GB |
| Q3_K_M | 14.7 GB | 16.2 GB | 15.3 GB | +17.3 GB |
| Q3_K_S | 13.6 GB | 15.1 GB | 13.8 GB | +18.4 GB |
| Q2_K | 11.8 GB | 13.3 GB | 11.9 GB | +20.3 GB |
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All quant variants, benchmark scores, and use-case tags.
Top-ranked open-source models that fit in 32.0GB.
FAQ
Can the Apple M1 Max (32GB) run gemma 4 31B?
Yes. The Apple M1 Max (32GB)'s 32.0GB of unified memory is enough to run gemma 4 31B at Q6_K quantization (27.9GB required).
What's the best quantization to use?
Q6_K is the highest-precision quantization that fits in your 32.0GB. It uses about 27.9GB of memory and 29.4GB 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.