Can I Run Ministral 3 14B on a Apple M2 Pro (32GB)?
Runs at full precision (fp16). Zero quality loss.
5 quantizations fit your 32.0GB
| Quant | Min VRAM | Recommended | File size | Headroom |
|---|---|---|---|---|
| fp16BEST | 29.0 GB | 30.5 GB | 28.0 GB | +3.0 GB |
| Q8_0 | 15.9 GB | 17.4 GB | 14.9 GB | +16.1 GB |
| Q6_K | 12.5 GB | 14.0 GB | 11.5 GB | +19.5 GB |
| Q5_K_M | 10.9 GB | 12.4 GB | 9.9 GB | +21.1 GB |
| Q4_K_M | 9.5 GB | 11.0 GB | 8.5 GB | +22.5 GB |
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FAQ
Can the Apple M2 Pro (32GB) run Ministral 3 14B?
Yes. The Apple M2 Pro (32GB)'s 32.0GB of unified memory is enough to run Ministral 3 14B at fp16 quantization (29.0GB required).
What's the best quantization to use?
fp16 is the highest-precision quantization that fits in your 32.0GB. It uses about 29.0GB of memory and 30.5GB 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.