Written by Jakub Rusinowski · Last updated December 8, 2024
Yes — comfortably
Yes, comfortably — Llama 3.3 70B Instruct at Q6_K needs about 60.9 GB of the 96 GB usable on MacBook Pro 16" (M5 Max, 128 GB), leaving ~35.1 GB spare and running at ~5.6 tok/s (estimated), with room for about 65,536 tokens of context.
Confidence: high · Recommended quantization: Q6_K · Estimated speed: ~5.6 tok/s
| Usable memory for models | 96 GB |
| Memory bandwidth | 614 GB/s |
| Form factor | Laptop |
| Operating system | macOS |
| Memory upgradeable | No — soldered |
| Quant | Memory needed | Fits 96 GB? | Max context | Est. speed | Download |
|---|---|---|---|---|---|
| F16 | 143.5 GB | ✗ No | — | — | 140 GB |
| Q8_0 | 77.9 GB | ✓ Yes | 32K | ~4.4 tok/s | 74.4 GB |
| Q6_K | 60.9 GB | ✓ Yes | 64K | ~5.6 tok/s | 57.4 GB |
| Q5_K_M | 53.1 GB | ✓ Yes | 128K | ~6.5 tok/s | 49.6 GB |
| Q4_K_M | 45.7 GB | ✓ Yes | 128K | ~7.5 tok/s | 42.3 GB |
| Q3_K_M | 33.3 GB | ✓ Yes | 128K | ~10.5 tok/s | 29.8 GB |
| Q2_K | 26.5 GB | ✓ Yes | 128K | ~13.3 tok/s | 23 GB |
Ollama or LM Studio (Metal) — MLX for the fastest Apple-native throughput
Yes, comfortably — Llama 3.3 70B Instruct at Q6_K needs about 60.9 GB of the 96 GB usable on MacBook Pro 16" (M5 Max, 128 GB), leaving ~35.1 GB spare and running at ~5.6 tok/s (estimated), with room for about 65,536 tokens of context.
Q6_K — it needs about 60.9 GB of the 96 GB available, downloads as roughly 57.4 GB, and runs at an estimated 5.6 tokens/sec with up to 64K of context.
Nothing binding — the model fits with headroom and generates at a usable speed on this hardware.
Ollama or LM Studio (Metal) — MLX for the fastest Apple-native throughput
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