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No. North Mini Code 1.0 30B (MoE) does not fit on M2 8GB: Q4_K_M needs 21.1 GB and 5.4 GB is usable.
Hardware: M2 8GB · Model: North Mini Code 1.0 30B (MoE)
M2 8GB has 8 GB of unified memory and 100 GB/s of memory bandwidth. M3 8GB has the same memory and bandwidth, so the fit numbers match; this page is M2 8GB. The checker leaves macOS a share of unified memory, so Ollama can use 5.4 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 | 5.4 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 8GB.
Open M2 8GB 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