Can I Run / MiMo V2 Omni / on AMD Instinct MI250X
Can I Run MiMo V2 Omni on a AMD Instinct MI250X?
Yes
Runs comfortably at Q6_K — minimal quality loss.
Model size
120B
GPU memory
128GB
Smallest quant
Q4_K_M
Best fit
Q6_K
3 quantizations fit your 128GB
| Quant | Min VRAM | Recommended | File size | Headroom |
|---|---|---|---|---|
| Q6_KBEST | 99.8 GB | 101.3 GB | 98.8 GB | +28.2 GB |
| Q5_K_M | 86.2 GB | 87.7 GB | 85.2 GB | +41.8 GB |
| Q4_K_M | 73.8 GB | 75.3 GB | 72.8 GB | +54.3 GB |
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Full model details
MiMo V2 Omni →
All quant variants, benchmark scores, and use-case tags.
Best models for this GPU
AMD Instinct MI250X →
Top-ranked open-source models that fit in 128GB.
FAQ
Can the AMD Instinct MI250X run MiMo V2 Omni?
Yes. The AMD Instinct MI250X's 128GB of VRAM is enough to run MiMo V2 Omni at Q6_K quantization (99.8GB required).
What's the best quantization to use?
Q6_K is the highest-precision quantization that fits in your 128GB. It uses about 99.8GB of memory and 101.3GB 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.