Can I Run / Devstral 2 / on Apple M1 Max (32GB)
Can I Run Devstral 2 on a Apple M1 Max (32GB)?
Yes
Runs at Q8_0 — near-lossless quality.
Model size
24.0B
GPU memory
32.0GB
Smallest quant
Q4_K_M
Best fit
Q8_0
4 quantizations fit your 32.0GB
| Quant | Min VRAM | Recommended | File size | Headroom |
|---|---|---|---|---|
| Q8_0BEST | 26.5 GB | 28.0 GB | 25.5 GB | +5.5 GB |
| Q6_K | 20.8 GB | 22.3 GB | 19.8 GB | +11.2 GB |
| Q5_K_M | 18.0 GB | 19.5 GB | 17.0 GB | +14.0 GB |
| Q4_K_M | 15.6 GB | 17.1 GB | 14.6 GB | +16.4 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 M1 Max (32GB) →
Top-ranked open-source models that fit in 32.0GB.
FAQ
Can the Apple M1 Max (32GB) run Devstral 2?
Yes. The Apple M1 Max (32GB)'s 32.0GB 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 32.0GB. 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.