MetaLlama 3.1 70B Instruct on Apple M4 Ultra (192GB)
M4 Ultra (192GB) runs Llama 3.1 70B Instruct at Q5_K_M — 11 tok/s. Usable on 192 GB VRAM — see full quantization options below.
Model Size
70.6B
Device VRAM
192 GB
Bandwidth
819 GB/s
Quantization
Q5_K_M
Performance by Quantization
OwnRig currently has one published compatibility entry for Llama 3.1 70B Instruct on Apple M4 Ultra (192GB) at Q5_K_M. This is the best supported pairing we can stand behind today.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| Q5_K_M | 11 tok/s | 1200ms | ✓ Yes | Acceptable | estimated |
Notes
Q5_K_M
M4 Ultra: ~1.5x M4 Max performance due to higher memory bandwidth and GPU cores.
About Llama 3.1 70B Instruct
Llama 3.1 70B Instruct (70.6B) is a chat, coding, ai coding, reasoning, multi-purpose model. Frontier-class open model. Approaches GPT-4 quality on many benchmarks. Requires significant VRAM; 48 GB+ recommended for usable quantizations. Well suited for serious local deployment.
View all Llama 3.1 70B Instruct hardware options →About Apple M4 Ultra (192GB)
Apple M4 Ultra (192GB) has 192 GB at 819 GB/s. Available in Mac Studio, Mac Pro.
See all models Apple M4 Ultra (192GB) can run →Estimate method: Estimated from M4 Max benchmarks scaled by memory bandwidth ratio (819/546 GB/s). Reference hardware source: github.com (2026-03-14)
Performance varies by driver version, inference engine, quantization method, context length, and system configuration. Figures shown are estimates based on community benchmarks and may not reflect your exact setup. Product names are trademarks of their respective owners. OwnRig is independent and not affiliated with any hardware or AI model provider.