Written by Jakub Rusinowski · Last updated June 27, 2024
Yes, but it is tight
Yes, but it is tight — Gemma 2 9B IT at Q6_K needs about 11 GB of the 12 GB usable on MacBook Air (M4, 16 GB), leaving only ~1 GB before the runtime starts swapping. Expect ~7.3 tok/s (estimated), with room for about 8,192 tokens of context.
Confidence: medium · Recommended quantization: Q6_K · Estimated speed: ~7.3 tok/s
| Usable memory for models | 12 GB |
| Memory bandwidth | 120 GB/s |
| Form factor | Laptop |
| Operating system | macOS |
| Memory upgradeable | No — soldered |
| Quant | Memory needed | Fits 12 GB? | Max context | Est. speed | Download |
|---|---|---|---|---|---|
| F16 | 21.6 GB | ✗ No | — | — | 18 GB |
| Q8_0 | 13.2 GB | ✗ No | — | — | 9.6 GB |
| Q6_K | 11 GB | ✓ Yes | 8K | ~7.3 tok/s | 7.4 GB |
| Q5_K_M | 10 GB | ✓ Yes | 8K | ~8.2 tok/s | 6.4 GB |
| Q4_K_M | 9.1 GB | ✓ Yes | 8K | ~9.3 tok/s | 5.4 GB |
| Q3_K_M | 7.5 GB | ✓ Yes | 8K | ~12.1 tok/s | 3.8 GB |
| Q2_K | 6.6 GB | ✓ Yes | 8K | ~14.4 tok/s | 3 GB |
Ollama or LM Studio (Metal) — MLX for the fastest Apple-native throughput
Yes, but it is tight — Gemma 2 9B IT at Q6_K needs about 11 GB of the 12 GB usable on MacBook Air (M4, 16 GB), leaving only ~1 GB before the runtime starts swapping. Expect ~7.3 tok/s (estimated), with room for about 8,192 tokens of context.
Q6_K — it needs about 11 GB of the 12 GB available, downloads as roughly 7.4 GB, and runs at an estimated 7.3 tokens/sec with up to 8K 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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