Apple M2 Max 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 Max can run meta-llama/Meta-Llama-3-8B-Instruct with Q4 quantization. At approximately 50 tokens/second, you can expect Moderate speed - useful for batch processing.
You have 92GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 4GB | 96GB | 49.87 tok/s | ✅ Fits comfortably |
| Q8 | 9GB | 96GB | 39.76 tok/s | ✅ Fits comfortably |
| FP16 | 17GB | 96GB | 20.49 tok/s | ✅ Fits comfortably |