Zai Org Glm 4 7 speed on Apple M2 Ultra and quantization-level VRAM fit.
Apple M2 Ultra meets the minimum VRAM requirement for Q4 inference of Zai Org Glm 4 7. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
Apple M2 Ultra can run Zai Org Glm 4 7 with Q4 quantization. At approximately 13 tokens/second, you can expect Basic speed - best for non-interactive tasks.
You have 12GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 180GB | 192GB | 12.88 tok/s | ✅ Fits comfortably |
| Q8 | 359GB | 192GB | 9.02 tok/s | ❌ Not recommended |
| FP16 | 717GB | 192GB | 4.90 tok/s | ❌ Not recommended |
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Apple M2 Ultra can run Zai Org Glm 4 7 at Q4 with an estimated 13 tok/s.
Q4 inference is estimated to need about 180GB VRAM on this page, while Apple M2 Ultra has 192GB available.
If you need more speed or context headroom, compare alternative GPUs below and check higher-tier VRAM options.