Apple M2 Ultra meets the minimum VRAM requirement for Q4 inference of meta-llama/Meta-Llama-3-70B-Instruct. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
Apple M2 Ultra can run meta-llama/Meta-Llama-3-70B-Instruct with Q4 quantization. At approximately 38 tokens/second, you can expect Moderate speed - useful for batch processing.
You have 158GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 34GB | 192GB | 37.90 tok/s | ✅ Fits comfortably |
| Q8 | 68GB | 192GB | 28.28 tok/s | ✅ Fits comfortably |
| FP16 | 137GB | 192GB | 14.22 tok/s | ✅ Fits comfortably |