Can I Run Phi-4 Mini on MacBook Air (M4, 16 GB)?
Written by Jakub Rusinowski · Last updated February 4, 2025
Yes — comfortably
Yes, comfortably — Phi-4 Mini (3.8B) at Q8_0 needs about 5.9 GB of the 12 GB usable on MacBook Air (M4, 16 GB), leaving ~6.1 GB spare and running at ~13.8 tok/s (estimated), with room for about 32,768 tokens of context.
Confidence: high · Recommended quantization: Q8_0 · Estimated speed: ~13.8 tok/s
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MacBook Air (M4, 16 GB) — what it gives a model
| Usable memory for models | 12 GB |
| Memory bandwidth | 120 GB/s |
| Form factor | Laptop |
| Operating system | macOS |
| Memory upgradeable | No — soldered |
Phi-4 Mini on MacBook Air (M4, 16 GB): memory by quantization
| Quant | Memory needed | Fits 12 GB? | Max context | Est. speed | Download |
|---|---|---|---|---|---|
| F16 | 9.5 GB | ✓ Yes | 16K | ~7.9 tok/s | 7.6 GB |
| Q8_0 | 5.9 GB | ✓ Yes | 32K | ~13.8 tok/s | 4 GB |
| Q6_K | 5 GB | ✓ Yes | 32K | ~17.1 tok/s | 3.1 GB |
| Q5_K_M | 4.6 GB | ✓ Yes | 32K | ~19.2 tok/s | 2.7 GB |
| Q4_K_M | 4.2 GB | ✓ Yes | 64K | ~21.7 tok/s | 2.3 GB |
| Q3_K_M | 3.5 GB | ✓ Yes | 64K | ~27.9 tok/s | 1.6 GB |
| Q2_K | 3.1 GB | ✓ Yes | 64K | ~33.2 tok/s | 1.2 GB |
What to watch out for
- Memory on this machine is not upgradeable, so the configuration you buy is the ceiling for every model you will ever run on it.
MacBook Air M4 16 GB limitations
- Fanless: sustained generation throttles on long runs in a way the same chip in a MacBook Pro does not.
- 16 GB unified memory is shared with the OS and every open app.
Recommended setup
Ollama or LM Studio (Metal) — MLX for the fastest Apple-native throughput
How these numbers are calculated
- Memory need = quantized weights + KV cache at 8,192 tokens (f16) + 0.8 GB runtime overhead.
- 16 GB unified memory at 120 GB/s, shared between CPU and GPU.
- macOS reserves a share of unified memory for the system, so not all of it is available to a model.
- Throughput is a memory-bandwidth roofline estimate, not a measurement. It is labelled "estimated" everywhere it appears.
- KV cache is computed from this model's published attention configuration.
FAQ
Can I run Phi-4 Mini on MacBook Air (M4, 16 GB)?
Yes, comfortably — Phi-4 Mini (3.8B) at Q8_0 needs about 5.9 GB of the 12 GB usable on MacBook Air (M4, 16 GB), leaving ~6.1 GB spare and running at ~13.8 tok/s (estimated), with room for about 32,768 tokens of context.
Which quantization of Phi-4 Mini should I use on MacBook Air (M4, 16 GB)?
Q8_0 — it needs about 5.9 GB of the 12 GB available, downloads as roughly 4 GB, and runs at an estimated 13.8 tokens/sec with up to 32K of context.
What limits Phi-4 Mini on MacBook Air (M4, 16 GB)?
Nothing binding — the model fits with headroom and generates at a usable speed on this hardware.
Which runtime should I use?
Ollama or LM Studio (Metal) — MLX for the fastest Apple-native throughput
Other Computers
- Phi-4 Mini on MacBook Pro M4 Max 128 GB
- Phi-4 Mini on MacBook Pro M4 Max 48 GB
- Phi-4 Mini on MacBook Pro M4 Pro 24 GB
Other Models on MacBook Air (M4, 16 GB)
- Qwen 2.5 Family on MacBook Air (M4, 16 GB)
- Qwen 2.5 VL on MacBook Air (M4, 16 GB)
- Qwen 3 on MacBook Air (M4, 16 GB)
- Qwen 3.5 on MacBook Air (M4, 16 GB)
- Qwen 3.6 on MacBook Air (M4, 16 GB)
Phi-4 Mini on GPUs
- Phi-4 Mini on NVIDIA GeForce RTX 5060 Ti 8GB
- Phi-4 Mini on NVIDIA GeForce RTX 5060
- Phi-4 Mini on NVIDIA GeForce RTX 4060
What This Model Is Good At
Model & Tools
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