Can I Run Gemma 4 31B (free) on a Apple M5 (24GB)?
Runs at Q5_K_M — good quality with reasonable headroom.
2 quantizations fit your 24.0GB
| Quant | Min VRAM | Recommended | File size | Headroom |
|---|---|---|---|---|
| Q5_K_MBEST | 23.0 GB | 24.5 GB | 22.0 GB | +1.0 GB |
| Q4_K_M | 19.8 GB | 21.3 GB | 18.8 GB | +4.2 GB |
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Top-ranked open-source models that fit in 24.0GB.
FAQ
Can the Apple M5 (24GB) run Gemma 4 31B (free)?
Yes. The Apple M5 (24GB)'s 24.0GB of unified memory is enough to run Gemma 4 31B (free) at Q5_K_M quantization (23.0GB required).
What's the best quantization to use?
Q5_K_M is the highest-precision quantization that fits in your 24.0GB. It uses about 23.0GB of memory and 24.5GB 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.