Can I Run Mistral Medium 3.5 on a Apple M2 Ultra (128GB)?
Runs at Q8_0 — near-lossless quality.
4 quantizations fit your 128GB
| Quant | Min VRAM | Recommended | File size | Headroom |
|---|---|---|---|---|
| Q8_0BEST | 75.4 GB | 76.9 GB | 74.4 GB | +52.6 GB |
| Q6_K | 58.7 GB | 60.2 GB | 57.7 GB | +69.3 GB |
| Q5_K_M | 50.7 GB | 52.2 GB | 49.7 GB | +77.3 GB |
| Q4_K_M | 43.4 GB | 44.9 GB | 42.4 GB | +84.6 GB |
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Top-ranked open-source models that fit in 128GB.
FAQ
Can the Apple M2 Ultra (128GB) run Mistral Medium 3.5?
Yes. The Apple M2 Ultra (128GB)'s 128GB of unified memory is enough to run Mistral Medium 3.5 at Q8_0 quantization (75.4GB required).
What's the best quantization to use?
Q8_0 is the highest-precision quantization that fits in your 128GB. It uses about 75.4GB of memory and 76.9GB 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.