← CanIRunLocal · All hardware · All models
Yes. Gemma 3 4B fits in fast memory on Mac Studio M5 Ultra (64c GPU) 256GB at Q8_0 (6.2 GB needed, 192.0 GB usable), about 192 tok/s (estimate).
Hardware: Mac Studio M5 Ultra (64c GPU) 256GB · Model: Gemma 3 4B
Mac Studio M5 Ultra (64c GPU) 256GB has 256 GB of unified memory and 1200 GB/s of memory bandwidth. Mac Studio M5 Ultra (80c GPU) 256GB has the same memory and bandwidth, so the fit numbers match; this page is Mac Studio M5 Ultra (64c GPU) 256GB. The checker leaves macOS a share of unified memory, so Ollama can use 192.0 GB. Gemma 3 4B (4.3B, Google) at Q8_0 is a 5 GB download and needs 6.2 GB with headroom for about 8k tokens.
| Best quant | Q8_0 |
|---|---|
| Download size | 5 GB |
| Memory needed | 6.2 GB |
| Usable fast memory | 192.0 GB |
| Fit | fits in fast memory |
| Estimated speed | ~192 tok/s (estimate) |
| Command | ollama run gemma3:4b-it-q8_0 |
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