Can I Run MiMo V2 Omni on a Apple M3 Ultra (512GB)?
Runs at full precision (fp16). Zero quality loss.
5 quantizations fit your 512GB
| Quant | Min VRAM | Recommended | File size | Headroom |
|---|---|---|---|---|
| fp16BEST | 241.0 GB | 242.5 GB | 240.0 GB | +271.0 GB |
| Q8_0 | 128.5 GB | 130.0 GB | 127.5 GB | +383.5 GB |
| Q6_K | 99.8 GB | 101.3 GB | 98.8 GB | +412.1 GB |
| Q5_K_M | 86.2 GB | 87.7 GB | 85.2 GB | +425.8 GB |
| Q4_K_M | 73.8 GB | 75.3 GB | 72.8 GB | +438.3 GB |
Try it in the cloud first
Don't want to download MiMo V2 Omni 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 512GB.
FAQ
Can the Apple M3 Ultra (512GB) run MiMo V2 Omni?
Yes. The Apple M3 Ultra (512GB)'s 512GB of unified memory is enough to run MiMo V2 Omni at fp16 quantization (241.0GB required).
What's the best quantization to use?
fp16 is the highest-precision quantization that fits in your 512GB. It uses about 241.0GB of memory and 242.5GB 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.