Can I Run Mistral Small 4 on a NVIDIA H100 NVL?
Runs at Q5_K_M — good quality with reasonable headroom.
2 quantizations fit your 94.0GB
| Quant | Min VRAM | Recommended | File size | Headroom |
|---|---|---|---|---|
| Q5_K_MBEST | 85.5 GB | 87.0 GB | 84.5 GB | +8.5 GB |
| Q4_K_M | 73.1 GB | 74.6 GB | 72.1 GB | +20.9 GB |
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Top-ranked open-source models that fit in 94.0GB.
FAQ
Can the NVIDIA H100 NVL run Mistral Small 4?
Yes. The NVIDIA H100 NVL's 94.0GB of VRAM is enough to run Mistral Small 4 at Q5_K_M quantization (85.5GB required).
What's the best quantization to use?
Q5_K_M is the highest-precision quantization that fits in your 94.0GB. It uses about 85.5GB of memory and 87.0GB 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.