Written by Jakub Rusinowski · Last updated November 26, 2024
Yes, but it is tight
Yes, but it is tight — OLMo 2 7B Instruct at Q6_K needs about 11.1 GB of the 12 GB usable on Mac mini (M4, 16 GB), leaving only ~0.9 GB before the runtime starts swapping. Expect ~7.9 tok/s (estimated), with room for about 4,096 tokens of context.
Confidence: medium · Recommended quantization: Q6_K · Estimated speed: ~7.9 tok/s
| Usable memory for models | 12 GB |
| Memory bandwidth | 120 GB/s |
| Form factor | Mini PC |
| Operating system | macOS |
| Memory upgradeable | No — soldered |
| Price | $599 (lib/data/ai-stations.ts (street price), checked 2026-07-06) |
| Quant | Memory needed | Fits 12 GB? | Max context | Est. speed | Download |
|---|---|---|---|---|---|
| F16 | 19.7 GB | ✗ No | — | — | 14.6 GB |
| Q8_0 | 12.9 GB | ✗ No | — | — | 7.8 GB |
| Q6_K | 11.1 GB | ✓ Yes | 4K | ~7.9 tok/s | 6 GB |
| Q5_K_M | 10.3 GB | ✓ Yes | 4K | ~8.7 tok/s | 5.2 GB |
| Q4_K_M | 9.5 GB | ✓ Yes | 4K | ~9.7 tok/s | 4.4 GB |
| Q3_K_M | 8.2 GB | ✓ Yes | 4K | ~12.1 tok/s | 3.1 GB |
| Q2_K | 7.5 GB | ✓ Yes | 4K | ~13.9 tok/s | 2.4 GB |
| Variant | Needs at Q4_K_M | Fits? | Est. speed |
|---|---|---|---|
| OLMo 2 13B Instruct | 15.8 GB | ✗ Too large | — |
| OLMo 2 7B Instruct | 9.5 GB | ✓ Fits | ~9.7 tok/s |
Ollama or LM Studio (Metal) — MLX for the fastest Apple-native throughput
Yes, but it is tight — OLMo 2 7B Instruct at Q6_K needs about 11.1 GB of the 12 GB usable on Mac mini (M4, 16 GB), leaving only ~0.9 GB before the runtime starts swapping. Expect ~7.9 tok/s (estimated), with room for about 4,096 tokens of context.
Q6_K — it needs about 11.1 GB of the 12 GB available, downloads as roughly 6 GB, and runs at an estimated 7.9 tokens/sec with up to 4K 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