Can I Run Nemotron 3 Nano 30B A3B (free) on a Apple M2 Ultra (64GB)?
Runs at Q8_0 — near-lossless quality.
4 quantizations fit your 64.0GB
| Quant | Min VRAM | Recommended | File size | Headroom |
|---|---|---|---|---|
| Q8_0BEST | 34.6 GB | 36.1 GB | 33.6 GB | +29.4 GB |
| Q6_K | 27.0 GB | 28.5 GB | 33.5 GB | +37.0 GB |
| Q4_K_M | 20.2 GB | 21.7 GB | 24.5 GB | +43.8 GB |
| Q3_K_L | 15.1 GB | 16.6 GB | 20.8 GB | +48.9 GB |
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Top-ranked open-source models that fit in 64.0GB.
FAQ
Can the Apple M2 Ultra (64GB) run Nemotron 3 Nano 30B A3B (free)?
Yes. The Apple M2 Ultra (64GB)'s 64.0GB of unified memory is enough to run Nemotron 3 Nano 30B A3B (free) at Q8_0 quantization (34.6GB required).
What's the best quantization to use?
Q8_0 is the highest-precision quantization that fits in your 64.0GB. It uses about 34.6GB of memory and 36.1GB 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.