HomeCan I run it?Gemma 3 4BGemma 3 4B on a Mac mini 16GB
Yes, but it is tight. Gemma 3 4B at FP16 needs about 10.9 GB, and the Mac mini M6 16GB has 12.0 GB usable at a ~4k context.
Can I run Gemma 3 4B on a Mac mini 16GB?
Gemma 3 4B at FP16 needs about 10.9 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 small Gemma 3 instruct model, a good low-VRAM option with a different flavor from Llama 3.2 3B. These are estimates from our formula, not measured benchmarks.
- Quant that fits
- FP16 Fits, short context only
- Memory needed
- 10.9 GB at FP16, ~4k context
- Usable unified memory
- 12.0 GB of 16 GB unified memory
- Est. tokens/sec
- 8–14 estimate
Memory at each quant
| Quant | Need vs 12.0 GB | Verdict |
|---|---|---|
| Q4_K_M | 4.0 GB | Q4Fits |
| Q8_0 | 6.3 GB | Q8Fits |
| FP16 | 10.9 GB | FP16Tight |
Estimated tokens per second
Estimate: 8–14 tokens/sec at FP16. 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
- Run Llama 3.2 3B instead (3.2 GB at Q4). It is a different model, not a drop-in, but it does fit this machine.
- Keep context short, close other GPU work, and avoid a higher quant. The VRAM calculator shows how the KV cache grows.
- See the best GPU for this model family and the gemma-3-4b-it model page.
Other hardware for Gemma 3 4B
- Gemma 3 4B on an RTX 3060 12GBTight
- Gemma 3 4B on an RTX 3070 TiFits
- Gemma 3 4B on an RTX 4060 Ti 16GBFits
- Gemma 3 4B on an RTX 4090Fits
- Gemma 3 4B on an Arc B580Tight
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
Quick answers
- Can I run Gemma 3 4B on a Mac mini 16GB?
- Yes, but it is tight. Gemma 3 4B at FP16 needs about 10.9 GB, and the Mac mini M6 16GB has 12.0 GB usable.
- How much VRAM does Gemma 3 4B need?
- About 4.0 GB at Q4_K_M, 6.3 GB at Q8_0 and 10.9 GB at FP16, estimated for a ~4k context.
- How fast is Gemma 3 4B on a Mac mini 16GB?
- Our estimate is 8–14 tokens per second at FP16. It is not a measured benchmark.