Meta Llama Llama 2 13B Chat HF speed on Apple M4 Max and quantization-level VRAM fit.
Apple M4 Max meets the minimum VRAM requirement for Q4 inference of Meta Llama Llama 2 13B Chat HF. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
Apple M4 Max can run Meta Llama Llama 2 13B Chat HF with Q4 quantization. At approximately 55 tokens/second, you can expect Good speed - acceptable for interactive use.
You have 121GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 7GB | 128GB | 54.93 tok/s | ✅ Fits comfortably |
| Q8 | 13GB | 128GB | 38.45 tok/s | ✅ Fits comfortably |
| FP16 | 26GB | 128GB | 20.87 tok/s | ✅ Fits comfortably |
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Apple M4 Max can run Meta Llama Llama 2 13B Chat HF at Q4 with an estimated 55 tok/s.
Q4 inference is estimated to need about 7GB VRAM on this page, while Apple M4 Max has 128GB available.
If you need more speed or context headroom, compare alternative GPUs below and check higher-tier VRAM options.