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No. North Mini Code 1.0 30B (MoE) does not fit on M2 16GB: Q4_K_M needs 21.1 GB and 10.7 GB is usable.
Hardware: M2 16GB · Model: North Mini Code 1.0 30B (MoE)
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. North Mini Code 1.0 30B (MoE) (30.5B, Cohere) at Q4_K_M is a 19 GB download and needs 21.1 GB with headroom for about 8k tokens.
| Best quant | Q4_K_M |
|---|---|
| Download size | 19 GB |
| Memory needed | 21.1 GB |
| Usable fast memory | 10.7 GB |
| Fit | does not fit |
| Estimated speed | no estimate, it does not fit |
| Command | ollama run north-mini-code-1.0:latest |
Smallest hardware that runs it: RTX 3060 12GB at Q4_K_M (partial offload (slower), 21.1 GB needed, 11.5 GB usable, about 4 tok/s (estimate)). Can a RTX 3060 12GB run North Mini Code 1.0 30B (MoE)?
No smaller Cohere model in this list fits M2 16GB.
Open M2 16GB in the checkerEstimates, 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