Can I Run / Mistral Small 4 / on Apple M5 Ultra (512GB)

Can I Run Mistral Small 4 on a Apple M5 Ultra (512GB)?

Yes

Runs at full precision (f32). Zero quality loss.

Model size
119B
GPU memory
512GB
Smallest quant
Q3_K_S
Best fit
f32

3 quantizations fit your 512GB

QuantMin VRAMRecommendedFile sizeHeadroom
f32BEST478.6 GB480.1 GB1.7 GB+33.4 GB
fp16239.8 GB241.3 GB0.9 GB+272.2 GB
Q3_K_S47.0 GB48.5 GB49.6 GB+465.0 GB

Try it in the cloud first

Don't want to download Mistral Small 4 just to try it? Use a hosted API or rent a GPU by the second.

Affiliate links — we earn a commission at no cost to you.

Advertisement
Full model details
Mistral Small 4

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

Best models for this GPU
Apple M5 Ultra (512GB)

Top-ranked open-source models that fit in 512GB.

FAQ

Can the Apple M5 Ultra (512GB) run Mistral Small 4?

Yes. The Apple M5 Ultra (512GB)'s 512GB of unified memory is enough to run Mistral Small 4 at f32 quantization (478.6GB required).

What's the best quantization to use?

f32 is the highest-precision quantization that fits in your 512GB. It uses about 478.6GB of memory and 480.1GB 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.