Written by Jakub Rusinowski · Last updated July 23, 2024
Yes — comfortably
Yes, comfortably — Llama 3.1 8B Instruct at Q8_0 needs about 10.4 GB of the 48 GB usable on Mac Studio (M4 Max, 64 GB), leaving ~37.6 GB spare and running at ~30.1 tok/s (estimated), with room for about 131,072 tokens of context.
Confidence: high · Recommended quantization: Q8_0 · Estimated speed: ~30.1 tok/s
| Usable memory for models | 48 GB |
| Memory bandwidth | 546 GB/s |
| Form factor | Desktop |
| Operating system | macOS |
| Memory upgradeable | No — soldered |
| Quant | Memory needed | Fits 48 GB? | Max context | Est. speed | Download |
|---|---|---|---|---|---|
| F16 | 17.9 GB | ✓ Yes | 128K | ~17.2 tok/s | 16 GB |
| Q8_0 | 10.4 GB | ✓ Yes | 128K | ~30.1 tok/s | 8.5 GB |
| Q6_K | 8.4 GB | ✓ Yes | 128K | ~37.4 tok/s | 6.6 GB |
| Q5_K_M | 7.5 GB | ✓ Yes | 128K | ~42.1 tok/s | 5.7 GB |
| Q4_K_M | 6.7 GB | ✓ Yes | 128K | ~47.8 tok/s | 4.8 GB |
| Q3_K_M | 5.3 GB | ✓ Yes | 128K | ~61.8 tok/s | 3.4 GB |
| Q2_K | 4.5 GB | ✓ Yes | 128K | ~73.6 tok/s | 2.6 GB |
Ollama or LM Studio (Metal) — MLX for the fastest Apple-native throughput
Yes, comfortably — Llama 3.1 8B Instruct at Q8_0 needs about 10.4 GB of the 48 GB usable on Mac Studio (M4 Max, 64 GB), leaving ~37.6 GB spare and running at ~30.1 tok/s (estimated), with room for about 131,072 tokens of context.
Q8_0 — it needs about 10.4 GB of the 48 GB available, downloads as roughly 8.5 GB, and runs at an estimated 30.1 tokens/sec with up to 128K 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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