Can I Run Qwen 3.6 Plus on a NVIDIA B200?
Runs at Q5_K_M — good quality with reasonable headroom.
2 quantizations fit your 192GB
| Quant | Min VRAM | Recommended | File size | Headroom |
|---|---|---|---|---|
| Q5_K_MBEST | 167.8 GB | 169.3 GB | 166.8 GB | +24.2 GB |
| Q4_K_M | 143.5 GB | 145.0 GB | 142.5 GB | +48.5 GB |
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Top-ranked open-source models that fit in 192GB.
FAQ
Can the NVIDIA B200 run Qwen 3.6 Plus?
Yes. The NVIDIA B200's 192GB of VRAM is enough to run Qwen 3.6 Plus at Q5_K_M quantization (167.8GB required).
What's the best quantization to use?
Q5_K_M is the highest-precision quantization that fits in your 192GB. It uses about 167.8GB of memory and 169.3GB 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.