Can I Run / Seed OSS 36B Instruct / on NVIDIA B200
Can I Run Seed OSS 36B Instruct on a NVIDIA B200?
Yes
Runs at Q8_0 — near-lossless quality.
Model size
36.2B
GPU memory
192GB
Smallest quant
Q4_K_M
Best fit
Q8_0
3 quantizations fit your 192GB
| Quant | Min VRAM | Recommended | File size | Headroom |
|---|---|---|---|---|
| Q8_0BEST | 39.5 GB | 41.0 GB | 38.4 GB | +152.5 GB |
| Q6_K | 30.8 GB | 32.3 GB | 29.7 GB | +161.2 GB |
| Q4_K_M | 22.9 GB | 24.4 GB | 21.8 GB | +169.1 GB |
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Full model details
Seed OSS 36B Instruct →
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 Seed OSS 36B Instruct?
Yes. The NVIDIA B200's 192GB of VRAM is enough to run Seed OSS 36B Instruct at Q8_0 quantization (39.5GB required).
What's the best quantization to use?
Q8_0 is the highest-precision quantization that fits in your 192GB. It uses about 39.5GB of memory and 41.0GB 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.