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Yes. Gemma 4 12B fits in fast memory on M2 16GB at Q4_K_M (9.6 GB needed, 10.7 GB usable), about 10 tok/s (estimate).
Hardware: M2 16GB · Model: Gemma 4 12B
M2 16GB has 16 GB of unified memory and 100 GB/s of memory bandwidth. M3 16GB has the same memory and bandwidth, so the fit numbers match; this page is M2 16GB. The checker leaves macOS a share of unified memory, so Ollama can use 10.7 GB. Gemma 4 12B (12B, Google) at Q4_K_M is a 8 GB download and needs 9.6 GB with headroom for about 8k tokens.
| Best quant | Q4_K_M |
|---|---|
| Download size | 8 GB |
| Memory needed | 9.6 GB |
| Usable fast memory | 10.7 GB |
| Fit | fits in fast memory |
| Estimated speed | ~10 tok/s (estimate) |
| Command | ollama run gemma4:12b-it-q4_K_M |
Estimates, not benchmarks. Model sizes are ollama.com download sizes; memory needed adds headroom for ~8k tokens of context; speeds are rough figures from memory bandwidth. Data updated 2026-10-23.
A project by OnDevice Labs · llms.txt