Can I Run Mistral Medium 3.5 128B on a NVIDIA H100 NVL?
Runs at Q5_K_M — good quality with reasonable headroom.
3 quantizations fit your 94.0GB
| Quant | Min VRAM | Recommended | File size | Headroom |
|---|---|---|---|---|
| Q5_K_MBEST | 91.7 GB | 93.2 GB | 88.3 GB | +2.3 GB |
| Q4_K_M | 78.4 GB | 79.9 GB | 74.9 GB | +15.6 GB |
| Q2_K | 43.0 GB | 44.5 GB | 46.6 GB | +51.0 GB |
Try it in the cloud first
Don't want to download Mistral Medium 3.5 128B just to try it? Use a hosted API or rent a GPU by the second.
Affiliate links — we earn a commission at no cost to you.
All quant variants, benchmark scores, and use-case tags.
Top-ranked open-source models that fit in 94.0GB.
FAQ
Can the NVIDIA H100 NVL run Mistral Medium 3.5 128B?
Yes. The NVIDIA H100 NVL's 94.0GB of VRAM is enough to run Mistral Medium 3.5 128B at Q5_K_M quantization (91.7GB 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 91.7GB of memory and 93.2GB 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.