Can I Run Qwen3 Next 80B A3B Instruct (free) on a Apple M1 Ultra (128GB)?
Runs at Q4_K_M — good quality with reasonable headroom.
6 quantizations fit your 128GB
| Quant | Min VRAM | Recommended | File size | Headroom |
|---|---|---|---|---|
| Q4_K_MBEST | 50.3 GB | 51.8 GB | 48.5 GB | +77.7 GB |
| Q4_K_S | 47.5 GB | 49.0 GB | 45.5 GB | +80.5 GB |
| Q4_0 | 46.7 GB | 48.2 GB | 45.3 GB | +81.3 GB |
| Q3_K_M | 35.0 GB | 36.5 GB | 38.3 GB | +93.0 GB |
| Q3_K_S | 32.3 GB | 33.8 GB | 34.6 GB | +95.7 GB |
| Q2_K | 27.7 GB | 29.2 GB | 29.2 GB | +100.3 GB |
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Top-ranked open-source models that fit in 128GB.
FAQ
Can the Apple M1 Ultra (128GB) run Qwen3 Next 80B A3B Instruct (free)?
Yes. The Apple M1 Ultra (128GB)'s 128GB of unified memory is enough to run Qwen3 Next 80B A3B Instruct (free) at Q4_K_M quantization (50.3GB required).
What's the best quantization to use?
Q4_K_M is the highest-precision quantization that fits in your 128GB. It uses about 50.3GB of memory and 51.8GB 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.