Can I Run / Mistral Medium 3.5 / on NVIDIA A100 80GB
Can I Run Mistral Medium 3.5 on a NVIDIA A100 80GB?
Yes
Runs at Q8_0 — near-lossless quality.
Model size
70.0B
GPU memory
80.0GB
Smallest quant
Q4_K_M
Best fit
Q8_0
4 quantizations fit your 80.0GB
| Quant | Min VRAM | Recommended | File size | Headroom |
|---|---|---|---|---|
| Q8_0BEST | 75.4 GB | 76.9 GB | 74.4 GB | +4.6 GB |
| Q6_K | 58.7 GB | 60.2 GB | 57.7 GB | +21.3 GB |
| Q5_K_M | 50.7 GB | 52.2 GB | 49.7 GB | +29.3 GB |
| Q4_K_M | 43.4 GB | 44.9 GB | 42.4 GB | +36.6 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 A100 80GB →
Top-ranked open-source models that fit in 80.0GB.
FAQ
Can the NVIDIA A100 80GB run Mistral Medium 3.5?
Yes. The NVIDIA A100 80GB's 80.0GB 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 80.0GB. 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.