Can I Run Llama 3.3 Nemotron Super 49B V1.5 on a Apple M4 Max (48GB)?
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 Apple M4 Max (48GB) run Llama 3.3 Nemotron Super 49B V1.5?
Yes. The Apple M4 Max (48GB)'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.