Home / Can I run it? / Gemma 3 12B / Gemma 3 12B on a Mac mini 16GB

Yes. Gemma 3 12B at Q4_K_M needs about 9.5 GB, and the Mac mini M6 16GB has 12.0 GB usable at a ~4k context.

Can I run Gemma 3 12B on a Mac mini 16GB?

Gemma 3 12B at Q4_K_M needs about 9.5 GB, and the Mac mini M6 16GB has 12.0 GB usable. That figure is 16 GB of unified memory on the spec sheet, of which 12.0 GB is usable for weights and cache, at 153 GB/s memory bandwidth. Google’s mid-small Gemma 3, sized for 12–16 GB cards that want more than a 4B or 8B. These are estimates from our formula, not measured benchmarks.

Quant that fits

Q4_K_M Fits with headroom

Memory needed

9.5 GB at Q4_K_M, ~4k context

Usable unified memory

12.0 GB of 16 GB unified memory

Est. tokens/sec

9–17 estimate

gemma-3-12b-it · Mac mini M6 16GB · Everything this machine runs · Q4 vs Q8 vs FP16

Memory at each quant

Estimated tokens per second

Estimate: 9–17 tokens/sec at Q4_K_M. This is a bandwidth-derived range, not a bench. Efficiency is a 45–80% unified-memory band from How we calculate.

Context headroom

We do not have a published KV config for this model, so the memory need is the ~4k-context estimate only. Use the VRAM calculator to explore longer chats.

What to do instead

• Q8_0 needs 15.9 GB and does not fit here. The GeForce RTX 4060 Ti 16GB has 16.0 GB usable, enough for Q8.
• See the best GPU for this model family and the gemma-3-12b-it model page.

Other hardware for Gemma 3 12B

• Gemma 3 12B on an RTX 3060 12GBFits
• Gemma 3 12B on an RTX 3070 TiWon’t fit
• Gemma 3 12B on an RTX 3080Tight
• Gemma 3 12B on an RTX 4060 Ti 16GBTight
• Gemma 3 12B on an RTX 4070 Ti SuperTight
• Gemma 3 12B on an RTX 4090Fits

Other models on a Mac mini 16GB

• Qwen3-32B on a Mac mini 16GBWon’t fit
• Qwen3-30B-A3B on a Mac mini 16GBWon’t fit
• Qwen3.8-27B on a Mac mini 16GBWon’t fit
• Gemma 3 27B on a Mac mini 16GBWon’t fit
• Gemma 4 31B on a Mac mini 16GBWon’t fit
• gpt-oss-20b on a Mac mini 16GBWon’t fit