Can I Run Devstral Small 2 24B Instruct 2512 on a Apple M3 Pro (18GB)?
Runs at Q5_K_S — good quality with reasonable headroom.
9 quantizations fit your 18.0GB
| Quant | Min VRAM | Recommended | File size | Headroom |
|---|---|---|---|---|
| Q5_K_SBEST | 17.6 GB | 19.1 GB | 16.3 GB | +0.4 GB |
| Q4_1 | 16.0 GB | 17.5 GB | 14.9 GB | +2.0 GB |
| Q4_K_M | 15.6 GB | 17.1 GB | 14.3 GB | +2.4 GB |
| Q4_K_S | 14.7 GB | 16.2 GB | 13.6 GB | +3.3 GB |
| Q4_0 | 14.5 GB | 16.0 GB | 13.5 GB | +3.5 GB |
| Q3_K_L | 11.7 GB | 13.2 GB | 12.4 GB | +6.3 GB |
| Q3_K_M | 11.1 GB | 12.6 GB | 11.5 GB | +6.9 GB |
| Q3_K_S | 10.2 GB | 11.7 GB | 10.4 GB | +7.8 GB |
| Q2_K | 8.9 GB | 10.4 GB | 8.9 GB | +9.1 GB |
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FAQ
Can the Apple M3 Pro (18GB) run Devstral Small 2 24B Instruct 2512?
Yes. The Apple M3 Pro (18GB)'s 18.0GB of unified memory is enough to run Devstral Small 2 24B Instruct 2512 at Q5_K_S quantization (17.6GB required).
What's the best quantization to use?
Q5_K_S is the highest-precision quantization that fits in your 18.0GB. It uses about 17.6GB of memory and 19.1GB 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.