Can I Run / Devstral 2 / on Apple M5 Max (128GB)

Can I Run Devstral 2 on a Apple M5 Max (128GB)?

Yes

Runs at full precision (fp16). Zero quality loss.

Model size
24.0B
GPU memory
128GB
Smallest quant
Q4_K_M
Best fit
fp16

5 quantizations fit your 128GB

QuantMin VRAMRecommendedFile sizeHeadroom
fp16BEST49.0 GB50.5 GB48.0 GB+79.0 GB
Q8_026.5 GB28.0 GB25.5 GB+101.5 GB
Q6_K20.8 GB22.3 GB19.8 GB+107.2 GB
Q5_K_M18.0 GB19.5 GB17.0 GB+110.0 GB
Q4_K_M15.6 GB17.1 GB14.6 GB+112.5 GB

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Full model details
Devstral 2

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

Best models for this GPU
Apple M5 Max (128GB)

Top-ranked open-source models that fit in 128GB.

FAQ

Can the Apple M5 Max (128GB) run Devstral 2?

Yes. The Apple M5 Max (128GB)'s 128GB of unified memory is enough to run Devstral 2 at fp16 quantization (49.0GB required).

What's the best quantization to use?

fp16 is the highest-precision quantization that fits in your 128GB. 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.