Can I Run Devstral Small 2 on a AMD Ryzen AI Max 390 (64GB)?
Runs at full precision (fp16). Zero quality loss.
5 quantizations fit your 48.0GB
| Quant | Min VRAM | Recommended | File size | Headroom |
|---|---|---|---|---|
| fp16BEST | 15.0 GB | 16.5 GB | 14.0 GB | +33.0 GB |
| Q8_0 | 8.4 GB | 9.9 GB | 7.4 GB | +39.6 GB |
| Q6_K | 6.8 GB | 8.3 GB | 5.8 GB | +41.2 GB |
| Q5_K_M | 6.0 GB | 7.5 GB | 5.0 GB | +42.0 GB |
| Q4_K_M | 5.2 GB | 6.7 GB | 4.2 GB | +42.8 GB |
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Top-ranked open-source models that fit in 48.0GB.
FAQ
Can the AMD Ryzen AI Max 390 (64GB) run Devstral Small 2?
Yes. The AMD Ryzen AI Max 390 (64GB)'s 48.0GB of unified memory 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 48.0GB. 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.