Can Phi-4 Mini Reasoning 4B run on MacBook Air M2 16GB?
YES — Runs Great
Phi-4 Mini Reasoning 4B needs ~6.4 GB VRAM. MacBook Air M2 16GB has 11.5 GB. With Q4_K_M quantization, expect ~30 tok/s.
Operating mode
Choose the run profile you care about
Interactive favors responsiveness, while light API and scale-out lean harder on serving readiness. The fit stays the same, but the recommendation lens changes.
Current mode
Balanced
Balanced for general local use. Keeps the ranking neutral across personal and serving workflows.
Select quantization to explore
Fit status
Runs well
Decode
30.1 tok/s
TTFT
6422 ms
Safe context
72K
Memory
6.4 GB / 11.5 GB
Memory breakdown
See how fast it feels
What limits this setup
This setup is broadly balanced for this model.
Shared-memory contention still exists
The OS, browser, and inference runtime all compete for the same physical memory pool, so real-world headroom is less forgiving than raw capacity suggests.
Best improvement path
Performance by workload
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | S | Runs well | 30.1 tok/s | 3503 ms | 72K |
| Coding | S | Runs well | 30.1 tok/s | 6422 ms | 72K |
| Agentic Coding | S | Runs well | 30.1 tok/s | 9342 ms | 72K |
| Reasoning | S | Runs well | 30.1 tok/s | 7590 ms | 72K |
| RAG | S | Runs well | 30.1 tok/s | 11677 ms | 72K |
Quantization options
How Phi-4 Mini Reasoning 4B (3.799999952316284B params) fits at each quantization level on MacBook Air M2 16GB (11.5 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 1.5 GB | Low | A85 |
Q3_K_S | 3 | 1.9 GB | Low | S85 |
NVFP4 | 4 | 2.1 GB | Medium | S86 |
Q4_K_M | 4 | 2.3 GB | Medium | S86 |
Q5_K_M | 5 | 2.7 GB | High | S86 |
Q6_K | 6 | 3.1 GB | High | S87 |
Q8_0 | 8 | 4.1 GB | Very High | S88 |
F16Best for your GPU | 16 | 7.8 GB | Maximum | S89 |
Get started
Copy-paste commands to run Phi-4 Mini Reasoning 4B on your machine.
Run
ollama run phi4-miniYour hardware
