Can I Run / Ministral 3 14B / on NVIDIA L40S
Can I Run Ministral 3 14B on a NVIDIA L40S?
Yes
Runs at full precision (fp16). Zero quality loss.
Model size
14.0B
GPU memory
48.0GB
Smallest quant
Q4_K_M
Best fit
fp16
5 quantizations fit your 48.0GB
| Quant | Min VRAM | Recommended | File size | Headroom |
|---|---|---|---|---|
| fp16BEST | 29.0 GB | 30.5 GB | 28.0 GB | +19.0 GB |
| Q8_0 | 15.9 GB | 17.4 GB | 14.9 GB | +32.1 GB |
| Q6_K | 12.5 GB | 14.0 GB | 11.5 GB | +35.5 GB |
| Q5_K_M | 10.9 GB | 12.4 GB | 9.9 GB | +37.1 GB |
| Q4_K_M | 9.5 GB | 11.0 GB | 8.5 GB | +38.5 GB |
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Full model details
Ministral 3 14B →
All quant variants, benchmark scores, and use-case tags.
Best models for this GPU
NVIDIA L40S →
Top-ranked open-source models that fit in 48.0GB.
FAQ
Can the NVIDIA L40S run Ministral 3 14B?
Yes. The NVIDIA L40S's 48.0GB of VRAM is enough to run Ministral 3 14B at fp16 quantization (29.0GB required).
What's the best quantization to use?
fp16 is the highest-precision quantization that fits in your 48.0GB. It uses about 29.0GB of memory and 30.5GB 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.