Can I Run / Ministral 3 14B / on Apple M3 Pro (18GB)

Can I Run Ministral 3 14B on a Apple M3 Pro (18GB)?

Yes

Runs at Q8_0 — near-lossless quality.

Model size
14.0B
GPU memory
18.0GB
Smallest quant
Q4_K_M
Best fit
Q8_0

4 quantizations fit your 18.0GB

QuantMin VRAMRecommendedFile sizeHeadroom
Q8_0BEST15.9 GB17.4 GB14.9 GB+2.1 GB
Q6_K12.5 GB14.0 GB11.5 GB+5.5 GB
Q5_K_M10.9 GB12.4 GB9.9 GB+7.1 GB
Q4_K_M9.5 GB11.0 GB8.5 GB+8.5 GB

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Full model details
Ministral 3 14B

All quant variants, benchmark scores, and use-case tags.

Best models for this GPU
Apple M3 Pro (18GB)

Top-ranked open-source models that fit in 18.0GB.

FAQ

Can the Apple M3 Pro (18GB) run Ministral 3 14B?

Yes. The Apple M3 Pro (18GB)'s 18.0GB 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 18.0GB. 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.