Can I Run Devstral Small 2 on a NVIDIA RTX 4090?
Runs at full precision (fp16). Zero quality loss.
5 quantizations fit your 24.0GB
| Quant | Min VRAM | Recommended | File size | Headroom |
|---|---|---|---|---|
| fp16BEST | 15.0 GB | 16.5 GB | 14.0 GB | +9.0 GB |
| Q8_0 | 8.4 GB | 9.9 GB | 7.4 GB | +15.6 GB |
| Q6_K | 6.8 GB | 8.3 GB | 5.8 GB | +17.2 GB |
| Q5_K_M | 6.0 GB | 7.5 GB | 5.0 GB | +18.0 GB |
| Q4_K_M | 5.2 GB | 6.7 GB | 4.2 GB | +18.8 GB |
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FAQ
Can the NVIDIA RTX 4090 run Devstral Small 2?
Yes. The NVIDIA RTX 4090's 24.0GB of VRAM is enough to run Devstral Small 2 at fp16 quantization (15.0GB required).
What's the best quantization to use?
fp16 is the highest-precision quantization that fits in your 24.0GB. It uses about 15.0GB of memory and 16.5GB 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.