Nousresearch Hermes 3 Llama 3 1 70B speed on Apple M3 Pro and quantization-level VRAM fit.
Apple M3 Pro meets the minimum VRAM requirement for Q4 inference of Nousresearch Hermes 3 Llama 3 1 70B. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
Apple M3 Pro can run Nousresearch Hermes 3 Llama 3 1 70B with Q4 quantization. At approximately 4 tokens/second, you can expect Low speed - consider quantization or stronger GPU.
VRAM usage will be very close to your GPU's limit. Consider closing other applications or using Q3 quantization for more margin.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 36GB | 36GB | 4.03 tok/s | ⚠️ Tight fit |
| Q8 | 71GB | 36GB | 2.82 tok/s | ❌ Not recommended |
| FP16 | 142GB | 36GB | 1.53 tok/s | ❌ Not recommended |
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Apple M3 Pro can run Nousresearch Hermes 3 Llama 3 1 70B at Q4 with an estimated 4 tok/s.
Q4 inference is estimated to need about 36GB VRAM on this page, while Apple M3 Pro has 36GB available.
If you need more speed or context headroom, compare alternative GPUs below and check higher-tier VRAM options.