Cohere North Mini Code
Cohere North Mini Code loads in 19 GB at Q4_K_M and decodes at the speed of its 3B active path, comfortably from 36 GB of memory — Macs included, starting at the MacBook Pro M5 Pro 48GB. Below is the memory math we ran for it, the cheapest card that fits, and the fastest machine we track.
How much memory does Cohere North Mini Code need?
Cohere North Mini Code is a 30B mixture-of-experts model (3B active per token) built for agentic coding, repo-scale software engineering. The weights alone take 19 GB at Q4_K_M; add context and the OS, and it belongs in the 36 GB memory class. Every number below comes from the ModelFit engine — speeds are estimates, labeled est., because we do not benchmark hardware ourselves.
KV = fp16 estimate (q8_0 cache roughly halves it). "Comfortable" = weights + KV within the engine's tiered budget (~70-85% of memory).
Which machines run Cohere North Mini Code?
Verdicts come from the same engine that powers our fit checker — memory capacity first, bandwidth for speed. How we compute these numbers · Official source
Frequently asked questions
How much memory does Cohere North Mini Code need?
19 GB for the Q4_K_M weights, plus ~4.0 GB of KV-cache at 16k context — about 23.0 GB total. Comfortable from 36 GB of VRAM or unified memory.
Does Cohere North Mini Code run on a Mac?
Yes — from the MacBook Pro M5 Pro 48GB (~42 tok/s est.). Unified memory means the RAM budget is the only limit.
What is the cheapest GPU for Cohere North Mini Code?
The AMD Radeon RX 7900 XTX is the cheapest tracked card that runs Cohere North Mini Code comfortably — ~77 tok/s est. at ~$700 used.
Cite this page
ModelFit: Cohere North Mini Code — specs, memory math and hardware verdicts. https://modelfit.io/models/north-mini-code-1/ (dataset updated 2026-09-03, CC BY 4.0).