Apple M2 Max meets the minimum VRAM requirement for Q4 inference of meta-llama/Llama-3.1-70B-Instruct. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
Apple M2 Max can run meta-llama/Llama-3.1-70B-Instruct with Q4 quantization. At approximately 19 tokens/second, you can expect Basic speed - best for non-interactive tasks.
You have 62GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 34GB | 96GB | 19.26 tok/s | ✅ Fits comfortably |
| Q8 | 68GB | 96GB | 13.19 tok/s | ✅ Fits comfortably |
| FP16 | 137GB | 96GB | 6.84 tok/s | ❌ Not recommended |