← CanIRunLocal · All hardware · All models
Yes. Mistral Nemo 12B fits in fast memory on Mac Studio M4 Max (32c GPU) 36GB at Q8_0 (14.2 GB needed, 27.0 GB usable), about 25 tok/s (estimate).
Hardware: Mac Studio M4 Max (32c GPU) 36GB · Model: Mistral Nemo 12B
Mac Studio M4 Max (32c GPU) 36GB has 36 GB of unified memory and 410 GB/s of memory bandwidth. M4 Max (32c GPU) 36GB has the same memory and bandwidth, so the fit numbers match; this page is Mac Studio M4 Max (32c GPU) 36GB. The checker leaves macOS a share of unified memory, so Ollama can use 27.0 GB. Mistral Nemo 12B (12.2B, Mistral) at Q8_0 is a 13 GB download and needs 14.2 GB with headroom for about 8k tokens.
| Best quant | Q8_0 |
|---|---|
| Download size | 13 GB |
| Memory needed | 14.2 GB |
| Usable fast memory | 27.0 GB |
| Fit | fits in fast memory |
| Estimated speed | ~25 tok/s (estimate) |
| Command | ollama run mistral-nemo:12b-instruct-2407-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