Can I Run / Devstral 2 / on NVIDIA RTX A5000
Can I Run Devstral 2 on a NVIDIA RTX A5000?
Yes
Runs comfortably at Q6_K — minimal quality loss.
Model size
24.0B
GPU memory
24.0GB
Smallest quant
Q4_K_M
Best fit
Q6_K
3 quantizations fit your 24.0GB
| Quant | Min VRAM | Recommended | File size | Headroom |
|---|---|---|---|---|
| Q6_KBEST | 20.8 GB | 22.3 GB | 19.8 GB | +3.2 GB |
| Q5_K_M | 18.0 GB | 19.5 GB | 17.0 GB | +6.0 GB |
| Q4_K_M | 15.6 GB | 17.1 GB | 14.6 GB | +8.4 GB |
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Full model details
Devstral 2 →
All quant variants, benchmark scores, and use-case tags.
Best models for this GPU
NVIDIA RTX A5000 →
Top-ranked open-source models that fit in 24.0GB.
FAQ
Can the NVIDIA RTX A5000 run Devstral 2?
Yes. The NVIDIA RTX A5000's 24.0GB of VRAM is enough to run Devstral 2 at Q6_K quantization (20.8GB required).
What's the best quantization to use?
Q6_K is the highest-precision quantization that fits in your 24.0GB. It uses about 20.8GB of memory and 22.3GB 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.