Local AI Advisor

Can Mac mini M2 8 GB run Qwen3 30B-A3B Instruct 2507?

8 GB unified · 100 GB/s memory bandwidth · Qwen3 30B-A3B Instruct 2507 has 30.5B parameters (3.3B active per token).

Short answer

No. It doesn't fit in memory.

Needs ≈14 GB but only ≈0.5 GB is available after the OS, other apps and Open WebUI.

Why it doesn’t fit

Even its smallest practical version (3-bit) needs about 14 GB for the model, its context memory and the runtime. After macOS (≈3.5 GB), a browser with a few tabs (≈3.0 GB) and Open WebUI (≈1.0 GB), Mac mini M2 8 GB has about 0.5 GB left, so it’s 14 GB short.

Ways to make it work

  • Close everything else

    Not enough on its own: with every other app closed it’s still about 11 GB short.

  • Pick a smaller model from the same family

    No smaller Qwen3 model in our catalog runs well here. See the other models below.

  • Get more memory

    The same chip with 24 GB handles it: Comfortable.

  • Check your exact setup

    These pages assume typical settings. A shorter context or a lighter chat app can change the answer.

    Check Mac mini M2 8 GB

The same applies to every workload we rate (chat, coding questions, coding in a repository, agentic coding and long documents): they all need at least as much memory as chat.

Other models for Mac mini M2 8 GB

The best-rated models for chat on this machine.

Nothing runs well next to other apps on this machine. With everything else closed, try MiniCPM5 2B, Llama 3.2 3B Instruct or Qwen3.5 4B; expect it to feel tight.

Everything Mac mini M2 8 GB can run

Cheapest machines for Qwen3 30B-A3B Instruct 2507

Hardware rated comfortable or better for chat, lowest price first.

Same chip, other memory: 16 GB, 24 GB

Different tool, context size or workload?

These pages use typical settings. The full check models your exact setup.

Open sourceCheck my exact setup