Can I Run / Mistral Small 4 / on NVIDIA B100
Can I Run Mistral Small 4 on a NVIDIA B100?
Yes
Runs at Q8_0 — near-lossless quality.
Model size
119B
GPU memory
192GB
Smallest quant
Q4_K_M
Best fit
Q8_0
4 quantizations fit your 192GB
| Quant | Min VRAM | Recommended | File size | Headroom |
|---|---|---|---|---|
| Q8_0BEST | 127.4 GB | 128.9 GB | 126.4 GB | +64.6 GB |
| Q6_K | 99.0 GB | 100.5 GB | 98.0 GB | +93.0 GB |
| Q5_K_M | 85.5 GB | 87.0 GB | 84.5 GB | +106.5 GB |
| Q4_K_M | 73.1 GB | 74.6 GB | 72.1 GB | +118.9 GB |
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Full model details
Mistral Small 4 →
All quant variants, benchmark scores, and use-case tags.
Best models for this GPU
NVIDIA B100 →
Top-ranked open-source models that fit in 192GB.
FAQ
Can the NVIDIA B100 run Mistral Small 4?
Yes. The NVIDIA B100's 192GB of VRAM is enough to run Mistral Small 4 at Q8_0 quantization (127.4GB required).
What's the best quantization to use?
Q8_0 is the highest-precision quantization that fits in your 192GB. It uses about 127.4GB of memory and 128.9GB 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.