Can I Run / Ministral 3 8B / on NVIDIA H200
Can I Run Ministral 3 8B on a NVIDIA H200?
Yes
Runs at full precision (f32). Zero quality loss.
Model size
8.0B
GPU memory
141GB
Smallest quant
Q2_K
Best fit
f32
13 quantizations fit your 141GB
| Quant | Min VRAM | Recommended | File size | Headroom |
|---|---|---|---|---|
| f32BEST | 33.0 GB | 34.5 GB | 1.7 GB | +108.0 GB |
| fp16 | 17.0 GB | 18.5 GB | 0.9 GB | +124.0 GB |
| Q8_0 | 9.5 GB | 11.0 GB | 9.0 GB | +131.5 GB |
| Q6_K | 7.6 GB | 9.1 GB | 7.0 GB | +133.4 GB |
| Q5_K_M | 6.7 GB | 8.2 GB | 6.1 GB | +134.3 GB |
| Q5_K_S | 6.5 GB | 8.0 GB | 5.9 GB | +134.5 GB |
| Q4_1 | 6.0 GB | 7.5 GB | 5.4 GB | +135.0 GB |
| Q4_K_M | 5.8 GB | 7.3 GB | 5.2 GB | +135.2 GB |
| Q4_K_S | 5.6 GB | 7.1 GB | 5.0 GB | +135.4 GB |
| Q4_0 | 5.5 GB | 7.0 GB | 4.9 GB | +135.5 GB |
| Q3_K_M | 4.3 GB | 5.8 GB | 4.2 GB | +136.7 GB |
| Q3_K_S | 4.1 GB | 5.6 GB | 3.9 GB | +136.9 GB |
| Q2_K | 3.6 GB | 5.1 GB | 3.4 GB | +137.4 GB |
Try it in the cloud first
Don't want to download Ministral 3 8B 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.
Advertisement
Full model details
Ministral 3 8B →
All quant variants, benchmark scores, and use-case tags.
Best models for this GPU
NVIDIA H200 →
Top-ranked open-source models that fit in 141GB.
FAQ
Can the NVIDIA H200 run Ministral 3 8B?
Yes. The NVIDIA H200's 141GB of VRAM is enough to run Ministral 3 8B at f32 quantization (33.0GB required).
What's the best quantization to use?
f32 is the highest-precision quantization that fits in your 141GB. It uses about 33.0GB of memory and 34.5GB 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.