Can I Run Devstral Small 2 24B Instruct 2512 on a Apple M1 Ultra (64GB)?
Runs at full precision (fp16). Zero quality loss.
13 quantizations fit your 64.0GB
| Quant | Min VRAM | Recommended | File size | Headroom |
|---|---|---|---|---|
| fp16BEST | 49.0 GB | 50.5 GB | 0.9 GB | +15.0 GB |
| Q8_0 | 26.5 GB | 28.0 GB | 25.1 GB | +37.5 GB |
| Q6_K | 20.8 GB | 22.3 GB | 19.4 GB | +43.2 GB |
| Q5_K_M | 18.0 GB | 19.5 GB | 16.8 GB | +46.0 GB |
| Q5_K_S | 17.6 GB | 19.1 GB | 16.3 GB | +46.4 GB |
| Q4_1 | 16.0 GB | 17.5 GB | 14.9 GB | +48.0 GB |
| Q4_K_M | 15.6 GB | 17.1 GB | 14.3 GB | +48.5 GB |
| Q4_K_S | 14.7 GB | 16.2 GB | 13.6 GB | +49.3 GB |
| Q4_0 | 14.5 GB | 16.0 GB | 13.5 GB | +49.5 GB |
| Q3_K_L | 11.7 GB | 13.2 GB | 12.4 GB | +52.3 GB |
| Q3_K_M | 11.1 GB | 12.6 GB | 11.5 GB | +53.0 GB |
| Q3_K_S | 10.2 GB | 11.7 GB | 10.4 GB | +53.8 GB |
| Q2_K | 8.9 GB | 10.4 GB | 8.9 GB | +55.1 GB |
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FAQ
Can the Apple M1 Ultra (64GB) run Devstral Small 2 24B Instruct 2512?
Yes. The Apple M1 Ultra (64GB)'s 64.0GB of unified memory is enough to run Devstral Small 2 24B Instruct 2512 at fp16 quantization (49.0GB required).
What's the best quantization to use?
fp16 is the highest-precision quantization that fits in your 64.0GB. It uses about 49.0GB of memory and 50.5GB 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.