Can I Run Ministral 3 14B on a Apple M1 Pro (16GB)?
Runs at Q8_0 — near-lossless quality.
4 quantizations fit your 16.0GB
| Quant | Min VRAM | Recommended | File size | Headroom |
|---|---|---|---|---|
| Q8_0BEST | 15.9 GB | 17.4 GB | 14.9 GB | +0.1 GB |
| Q6_K | 12.5 GB | 14.0 GB | 11.5 GB | +3.5 GB |
| Q5_K_M | 10.9 GB | 12.4 GB | 9.9 GB | +5.1 GB |
| Q4_K_M | 9.5 GB | 11.0 GB | 8.5 GB | +6.5 GB |
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Top-ranked open-source models that fit in 16.0GB.
FAQ
Can the Apple M1 Pro (16GB) run Ministral 3 14B?
Yes. The Apple M1 Pro (16GB)'s 16.0GB of unified memory is enough to run Ministral 3 14B at Q8_0 quantization (15.9GB required).
What's the best quantization to use?
Q8_0 is the highest-precision quantization that fits in your 16.0GB. It uses about 15.9GB of memory and 17.4GB 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.