Can Qwen 3 30B A3B run on Mac mini M4 64GB?
YES — Runs Great
Qwen 3 30B A3B needs ~27.8 GB VRAM. Mac mini M4 64GB has 46.1 GB. With Q4_K_M quantization, expect ~16 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
17.0 tok/s
TTFT
11399 ms
Safe context
131K
Memory
27.8 GB / 46.1 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 | 17.0 tok/s | 6218 ms | 131K |
| Coding | S | Runs well | 15.6 tok/s | 12396 ms | 131K |
| Agentic Coding | S | Runs well | 17.0 tok/s | 16580 ms | 131K |
| Reasoning | S | Runs well | 17.0 tok/s | 13471 ms | 131K |
| RAG | S | Runs well | 15.6 tok/s | 22539 ms | 131K |
Quantization options
How Qwen 3 30B A3B (30.5B params) fits at each quantization level on Mac mini M4 64GB (46.1 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 11.9 GB | Low | A84 |
Q3_K_S | 3 | 14.9 GB | Low | S85 |
NVFP4 | 4 | 17.1 GB | Medium | S86 |
Q4_K_M | 4 | 18.6 GB | Medium | S87 |
Q5_K_M | 5 | 22.0 GB | High | S88 |
Q6_K | 6 | 25.0 GB | High | S89 |
Q8_0Best for your GPU | 8 | 32.6 GB | Very High | S88 |
F16 | 16 | 62.5 GB | Maximum | F0 |
Get started
Copy-paste commands to run Qwen 3 30B A3B on your machine.
Run
ollama run qwen3:30b-a3bYour hardware
More models your Mac mini M4 64GB can run
| Model | Params | Grade | Decode | Capabilities |
|---|---|---|---|---|
| 35B | S | 15.7 tok/s | ||
| 35B | S | 17.1 tok/s | ||
| 32B | S | 10.2 tok/s |
Frequently asked questions
Can Mac mini M4 64GB run Qwen 3 30B A3B?
Yes, Mac mini M4 64GB can run Qwen 3 30B A3B with a S grade (Runs well). Expected decode speed: 15.6 tok/s.
How much VRAM does Qwen 3 30B A3B need?
Qwen 3 30B A3B (30.5B parameters) requires approximately 27.8 GB of memory with Q4_K_M quantization.
What is the best quantization for Qwen 3 30B A3B?
The recommended quantization for Qwen 3 30B A3B is Q4_K_M, which balances quality and memory efficiency.
What speed will Qwen 3 30B A3B run at on Mac mini M4 64GB?
On Mac mini M4 64GB, Qwen 3 30B A3B achieves approximately 15.6 tokens per second decode speed with a time-to-first-token of 12396ms using Q4_K_M quantization.
Can Mac mini M4 64GB run Qwen 3 30B A3B for coding?
For coding workloads, Qwen 3 30B A3B on Mac mini M4 64GB receives a S grade with 15.6 tok/s and 131K context.
What context window can Qwen 3 30B A3B use on Mac mini M4 64GB?
On Mac mini M4 64GB, Qwen 3 30B A3B can safely use up to 131K tokens of context. The model's official context limit is 131K, but available memory constrains the safe maximum.
Is unified memory on Mac mini M4 64GB as fast as VRAM for Qwen 3 30B A3B?
Not always. Mac mini M4 64GB can often fit larger models thanks to unified memory, but a discrete GPU with dedicated high-bandwidth VRAM may still decode faster once the model fits. For this combination, the important distinction is capacity versus sustained throughput.
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