Can I Run Qwen 3 Next 80B A3B on a Apple M3 Ultra (64GB)?
Runs at Q5_K_M — good quality with reasonable headroom.
2 quantizations fit your 64.0GB
| Quant | Min VRAM | Recommended | File size | Headroom |
|---|---|---|---|---|
| Q5_K_MBEST | 57.8 GB | 59.3 GB | 56.8 GB | +6.2 GB |
| Q4_K_M | 49.5 GB | 51.0 GB | 48.5 GB | +14.5 GB |
Try it in the cloud first
Don't want to download Qwen 3 Next 80B A3B just to try it? Use a hosted API or rent a GPU by the second.
Affiliate links — we earn a commission at no cost to you.
All quant variants, benchmark scores, and use-case tags.
Top-ranked open-source models that fit in 64.0GB.
FAQ
Can the Apple M3 Ultra (64GB) run Qwen 3 Next 80B A3B?
Yes. The Apple M3 Ultra (64GB)'s 64.0GB of unified memory is enough to run Qwen 3 Next 80B A3B at Q5_K_M quantization (57.8GB required).
What's the best quantization to use?
Q5_K_M is the highest-precision quantization that fits in your 64.0GB. It uses about 57.8GB of memory and 59.3GB 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.