Can I Run Qwen3 14B on a Apple M4 (16GB)?
Yes
Runs comfortably at Q6_K — minimal quality loss.
Model size
14.8B
GPU memory
16.0GB
Smallest quant
Q2_K
Best fit
Q6_K
12 quantizations fit your 16.0GB
| Quant | Min VRAM | Recommended | File size | Headroom |
|---|---|---|---|---|
| Q6_KBEST | 13.2 GB | 14.7 GB | 12.1 GB | +2.8 GB |
| Q5_K_M | 11.5 GB | 13.0 GB | 10.5 GB | +4.5 GB |
| Q5_K_S | 11.2 GB | 12.7 GB | 10.3 GB | +4.8 GB |
| Q5_0 | 11.2 GB | 12.7 GB | 10.3 GB | +4.8 GB |
| Q4_1 | 10.3 GB | 11.8 GB | 9.4 GB | +5.8 GB |
| Q4_K_M | 10.0 GB | 11.5 GB | 9.0 GB | +6.0 GB |
| Q4_K_S | 9.5 GB | 11.0 GB | 8.6 GB | +6.5 GB |
| Q4_0 | 9.3 GB | 10.8 GB | 8.5 GB | +6.7 GB |
| Q3_K_L | 7.6 GB | 9.1 GB | 7.9 GB | +8.4 GB |
| Q3_K_M | 7.2 GB | 8.7 GB | 7.3 GB | +8.8 GB |
| Q3_K_S | 6.7 GB | 8.2 GB | 6.7 GB | +9.3 GB |
| Q2_K | 5.9 GB | 7.4 GB | 5.8 GB | +10.1 GB |
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Full model details
Qwen3 14B →
All quant variants, benchmark scores, and use-case tags.
Best models for this GPU
Apple M4 (16GB) →
Top-ranked open-source models that fit in 16.0GB.
FAQ
Can the Apple M4 (16GB) run Qwen3 14B?
Yes. The Apple M4 (16GB)'s 16.0GB of unified memory is enough to run Qwen3 14B at Q6_K quantization (13.2GB required).
What's the best quantization to use?
Q6_K is the highest-precision quantization that fits in your 16.0GB. It uses about 13.2GB of memory and 14.7GB recommended for comfortable inference.
What if I need more headroom for context length?
KV cache memory grows with context length. The numbers above assume a baseline 2K-4K context. For long-context use (32K+), add another 2-6GB depending on the model architecture.