Can I Run / MiniMax M2.7 / on NVIDIA B200
Can I Run MiniMax M2.7 on a NVIDIA B200?
Yes
Runs comfortably at Q6_K — minimal quality loss.
Model size
229B
GPU memory
192GB
Smallest quant
Q4_K_M
Best fit
Q6_K
3 quantizations fit your 192GB
| Quant | Min VRAM | Recommended | File size | Headroom |
|---|---|---|---|---|
| Q6_KBEST | 189.4 GB | 190.9 GB | 188.4 GB | +2.6 GB |
| Q5_K_M | 163.4 GB | 164.9 GB | 162.4 GB | +28.6 GB |
| Q4_K_M | 139.7 GB | 141.2 GB | 138.7 GB | +52.3 GB |
Try it in the cloud first
Don't want to download MiniMax M2.7 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.
Advertisement
Full model details
MiniMax M2.7 →
All quant variants, benchmark scores, and use-case tags.
Best models for this GPU
NVIDIA B200 →
Top-ranked open-source models that fit in 192GB.
FAQ
Can the NVIDIA B200 run MiniMax M2.7?
Yes. The NVIDIA B200's 192GB of VRAM is enough to run MiniMax M2.7 at Q6_K quantization (189.4GB required).
What's the best quantization to use?
Q6_K is the highest-precision quantization that fits in your 192GB. It uses about 189.4GB of memory and 190.9GB 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.