MetaLlama 3.1 70B Instruct on Apple M4 Max (128GB Unified)
M4 Max (128GB Unified) runs Llama 3.1 70B Instruct at Q5_K_M — 7 tok/s. Usable on 128 GB VRAM — see full quantization options below.
Model Size
70.6B
Device VRAM
128 GB
Bandwidth
546 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 Max (128GB Unified) 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 | 7 tok/s | 1800ms | ✓ Yes | Acceptable | estimated |
Notes
Q5_K_M
Q5 at 47GB fits comfortably in 128GB. Higher quality than Q4 with room for concurrent models. The 70B bandwidth bottleneck is real though.
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 Max (128GB Unified)
Apple M4 Max (128GB Unified) has 128 GB at 546 GB/s. Available in MacBook Pro 16", Mac Studio.
See all models Apple M4 Max (128GB Unified) can run →Estimate method: MLX 70B model reports. Reference hardware source: github.com (2026-01-15)
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.