Can I Run Llama 3.3 Nemotron Super 49B V1.5 on a AMD Ryzen AI Max+ 395 (64GB)?
Runs comfortably at Q6_K — minimal quality loss.
13 quantizations fit your 48.0GB
| Quant | Min VRAM | Recommended | File size | Headroom |
|---|---|---|---|---|
| Q6_KBEST | 42.1 GB | 43.6 GB | 40.9 GB | +5.9 GB |
| Q5_1 | 38.4 GB | 39.9 GB | 37.4 GB | +9.6 GB |
| Q5_K_M | 36.4 GB | 37.9 GB | 35.4 GB | +11.6 GB |
| Q5_K_S | 35.4 GB | 36.9 GB | 34.4 GB | +12.6 GB |
| Q5_0 | 35.3 GB | 36.8 GB | 34.3 GB | +12.7 GB |
| Q4_1 | 32.2 GB | 33.7 GB | 31.4 GB | +15.8 GB |
| Q4_K_M | 31.3 GB | 32.8 GB | 30.2 GB | +16.8 GB |
| Q4_K_S | 29.6 GB | 31.1 GB | 28.6 GB | +18.4 GB |
| Q4_0 | 29.1 GB | 30.6 GB | 28.5 GB | +18.9 GB |
| Q3_K_L | 23.2 GB | 24.7 GB | 26.3 GB | +24.8 GB |
| Q3_K_M | 21.9 GB | 23.4 GB | 24.3 GB | +26.1 GB |
| Q3_K_S | 20.2 GB | 21.7 GB | 22.0 GB | +27.8 GB |
| Q2_K | 17.4 GB | 18.9 GB | 18.7 GB | +30.6 GB |
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All quant variants, benchmark scores, and use-case tags.
Top-ranked open-source models that fit in 48.0GB.
FAQ
Can the AMD Ryzen AI Max+ 395 (64GB) run Llama 3.3 Nemotron Super 49B V1.5?
Yes. The AMD Ryzen AI Max+ 395 (64GB)'s 48.0GB of unified memory is enough to run Llama 3.3 Nemotron Super 49B V1.5 at Q6_K quantization (42.1GB required).
What's the best quantization to use?
Q6_K is the highest-precision quantization that fits in your 48.0GB. It uses about 42.1GB of memory and 43.6GB 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.