Can I Run Mistral Medium 3.5 128B on a Apple M5 Max (128GB)?
Runs comfortably at Q6_K — minimal quality loss.
4 quantizations fit your 128GB
| Quant | Min VRAM | Recommended | File size | Headroom |
|---|---|---|---|---|
| Q6_KBEST | 106.2 GB | 107.7 GB | 102.6 GB | +21.8 GB |
| Q5_K_M | 91.7 GB | 93.2 GB | 88.3 GB | +36.3 GB |
| Q4_K_M | 78.4 GB | 79.9 GB | 74.9 GB | +49.6 GB |
| Q2_K | 43.0 GB | 44.5 GB | 46.6 GB | +85.0 GB |
Try it in the cloud first
Don't want to download Mistral Medium 3.5 128B 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.
All quant variants, benchmark scores, and use-case tags.
Top-ranked open-source models that fit in 128GB.
FAQ
Can the Apple M5 Max (128GB) run Mistral Medium 3.5 128B?
Yes. The Apple M5 Max (128GB)'s 128GB of unified memory is enough to run Mistral Medium 3.5 128B at Q6_K quantization (106.2GB required).
What's the best quantization to use?
Q6_K is the highest-precision quantization that fits in your 128GB. It uses about 106.2GB of memory and 107.7GB 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.