Can I Run / Devstral 2 / on Apple M5 Pro (48GB)
Can I Run Devstral 2 on a Apple M5 Pro (48GB)?
Yes
Runs at Q8_0 — near-lossless quality.
Model size
24.0B
GPU memory
48.0GB
Smallest quant
Q4_K_M
Best fit
Q8_0
4 quantizations fit your 48.0GB
| Quant | Min VRAM | Recommended | File size | Headroom |
|---|---|---|---|---|
| Q8_0BEST | 26.5 GB | 28.0 GB | 25.5 GB | +21.5 GB |
| Q6_K | 20.8 GB | 22.3 GB | 19.8 GB | +27.2 GB |
| Q5_K_M | 18.0 GB | 19.5 GB | 17.0 GB | +30.0 GB |
| Q4_K_M | 15.6 GB | 17.1 GB | 14.6 GB | +32.5 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 Pro (48GB) →
Top-ranked open-source models that fit in 48.0GB.
FAQ
Can the Apple M5 Pro (48GB) run Devstral 2?
Yes. The Apple M5 Pro (48GB)'s 48.0GB of unified memory is enough to run Devstral 2 at Q8_0 quantization (26.5GB required).
What's the best quantization to use?
Q8_0 is the highest-precision quantization that fits in your 48.0GB. It uses about 26.5GB of memory and 28.0GB 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.