Apple M2 Ultra meets the minimum VRAM requirement for Q4 inference of meta-llama/Meta-Llama-3-8B-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-3-8B-Instruct with Q4 quantization. At approximately 102 tokens/second, you can expect Excellent speed - conversational response times under 1 second.
You have 188GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 4GB | 192GB | 102.09 tok/s | ✅ Fits comfortably |
| Q8 | 9GB | 192GB | 73.22 tok/s | ✅ Fits comfortably |
| FP16 | 17GB | 192GB | 40.94 tok/s | ✅ Fits comfortably |