Can I Run / Mistral Medium 3.5 / on NVIDIA H100 NVL
Can I Run Mistral Medium 3.5 on a NVIDIA H100 NVL?
Yes
Runs at Q8_0 — near-lossless quality.
Model size
70.0B
GPU memory
94.0GB
Smallest quant
Q4_K_M
Best fit
Q8_0
4 quantizations fit your 94.0GB
| Quant | Min VRAM | Recommended | File size | Headroom |
|---|---|---|---|---|
| Q8_0BEST | 75.4 GB | 76.9 GB | 74.4 GB | +18.6 GB |
| Q6_K | 58.7 GB | 60.2 GB | 57.7 GB | +35.3 GB |
| Q5_K_M | 50.7 GB | 52.2 GB | 49.7 GB | +43.3 GB |
| Q4_K_M | 43.4 GB | 44.9 GB | 42.4 GB | +50.6 GB |
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Full model details
Mistral Medium 3.5 →
All quant variants, benchmark scores, and use-case tags.
Best models for this GPU
NVIDIA H100 NVL →
Top-ranked open-source models that fit in 94.0GB.
FAQ
Can the NVIDIA H100 NVL run Mistral Medium 3.5?
Yes. The NVIDIA H100 NVL's 94.0GB of VRAM is enough to run Mistral Medium 3.5 at Q8_0 quantization (75.4GB required).
What's the best quantization to use?
Q8_0 is the highest-precision quantization that fits in your 94.0GB. It uses about 75.4GB of memory and 76.9GB 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.