Nousresearch Meta Llama 3.1 8B Instruct speed on Apple M2 Pro and quantization-level VRAM fit.
Apple M2 Pro meets the minimum VRAM requirement for Q4 inference of Nousresearch Meta Llama 3.1 8B Instruct. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
Apple M2 Pro can run Nousresearch Meta Llama 3.1 8B Instruct with Q4 quantization. At approximately 20 tokens/second, you can expect Moderate speed - useful for batch processing.
You have 27GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 5GB | 32GB | 20.13 tok/s | ✅ Fits comfortably |
| Q8 | 9GB | 32GB | 14.09 tok/s | ✅ Fits comfortably |
| FP16 | 17GB | 32GB | 7.65 tok/s | ✅ Fits comfortably |
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Apple M2 Pro can run Nousresearch Meta Llama 3.1 8B Instruct at Q4 with an estimated 20 tok/s.
Q4 inference is estimated to need about 5GB VRAM on this page, while Apple M2 Pro has 32GB available.
If you need more speed or context headroom, compare alternative GPUs below and check higher-tier VRAM options.