Mac mini M4 16GB
Apple · M4 · 16GB Unified Memory · Can run 19 models
| Manufacturer | Apple |
| Unified Memory | 16 GB |
| Chip | M4 |
| CPU Cores | 10 |
| GPU Cores | 10 |
| Neural Engine Cores | 16 |
| Memory Bandwidth | 120 GB/s |
| MSRP | $599 |
| Released | Nov 8, 2024 |
AI Notes
The Mac mini M4 16GB is the most affordable entry point for local AI on Apple Silicon. With 16GB of unified memory, it can run 7B models comfortably and 13B models with Q4 quantization. Its compact form factor and low power consumption make it ideal as a dedicated AI inference server.
Compatible Models
| Model | Parameters | Best Quant | VRAM Used | Fit |
|---|---|---|---|---|
| Llama 3.2 1B | 1B | Q8_0 | 3 GB | Runs |
| Gemma 2 2B | 2B | Q8_0 | 4 GB | Runs |
| Llama 3.2 3B | 3B | Q8_0 | 5 GB | Runs |
| Phi-3 Mini 3.8B | 3.8B | Q8_0 | 5.8 GB | Runs |
| DeepSeek R1 7B | 7B | Q8_0 | 9 GB | Runs |
| Mistral 7B | 7B | Q8_0 | 9 GB | Runs |
| Qwen 2.5 7B | 7B | Q8_0 | 9 GB | Runs |
| Qwen 2.5 Coder 7B | 7B | Q8_0 | 9 GB | Runs |
| Llama 3.1 8B | 8B | Q8_0 | 10 GB | Runs |
| Gemma 2 9B | 9B | Q8_0 | 11 GB | Runs |
| DeepSeek R1 14B | 14B | Q4_K_M | 9.9 GB | Runs |
| Phi-4 14B | 14B | Q4_K_M | 9.9 GB | Runs |
| Qwen 2.5 14B | 14B | Q4_K_M | 9.9 GB | Runs |
| Codestral 22B | 22B | Q4_K_M | 14.7 GB | Runs (tight) |
| StarCoder2 15B | 15B | Q8_0 | 17 GB | CPU Offload |
| Gemma 2 27B | 27B | Q4_K_M | 17.7 GB | CPU Offload |
| DeepSeek R1 32B | 32B | Q4_K_M | 20.7 GB | CPU Offload |
| Qwen 2.5 32B | 32B | Q4_K_M | 20.7 GB | CPU Offload |
| Command R 35B | 35B | Q4_K_M | 22.5 GB | CPU Offload |
6
model(s) are too large for this hardware.