Meta Llama Llama 3 1 8B Instruct speed on Apple M3 Max and quantization-level VRAM fit.
Apple M3 Max meets the minimum VRAM requirement for Q4 inference of Meta Llama Llama 3 1 8B Instruct. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
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Meta llama llama 3 1 8b instruct speed on apple m3 max
Meta Llama Llama 3 1 8B Instruct runs on Apple M3 Max at about 40 tok/s at Q4 in our current compatibility dataset.
Based on 124 impressions tracked in Search Console.
Apple M3 Max can run Meta Llama Llama 3 1 8B Instruct with Q4 quantization. At approximately 40 tokens/second, you can expect Moderate speed - useful for batch processing.
You have 123GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 5GB | 128GB | 40.26 tok/s | ✅ Fits comfortably |
| Q8 | 9GB | 128GB | 28.18 tok/s | ✅ Fits comfortably |
| FP16 | 17GB | 128GB | 15.30 tok/s | ✅ Fits comfortably |
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Apple M3 Max can run Meta Llama Llama 3 1 8B Instruct at Q4 with an estimated 40 tok/s.
Q4 inference is estimated to need about 5GB VRAM on this page, while Apple M3 Max has 128GB available.
If you need more speed or context headroom, compare alternative GPUs below and check higher-tier VRAM options.