# North Mini Code Projects at AI Tinkerers

> Canonical HTML: https://aitinkerers.org/technologies/north-mini-code
> Markdown URL: https://aitinkerers.org/technologies/north-mini-code.md
> Technology record last updated: 2026-06-11T18:42:31Z
> Generated: 2026-09-22T04:42:03Z

Cohere's open-weights 30B Mixture-of-Experts model designed to run high-performance, agentic software engineering tasks on local hardware.

North Mini Code is a decoder-only, sparse Mixture-of-Experts (MoE) model built specifically for local, agentic coding workflows. Released under an Apache 2.0 license, it packs 30 billion total parameters but activates only 3 billion per token, giving developers the speed of a lightweight model alongside the reasoning capacity of a much larger system. It handles a massive 256K token context window and generates up to 64K tokens of continuous output, making it highly effective for parsing entire codebases, executing complex terminal-based agent tasks, and powering self-hosted software engineering pipelines on a single GPU.

- Official technology site: https://huggingface.co/CohereLabs/North-Mini-Code-1.0
- Public AI Tinkerers demos and talks: 1
- Result page: 1 of 1

## Recent Public Talks and Demos

### [Meet North Mini Code: Cohere's first model for developers.](https://montreal.aitinkerers.org/talks/rsvp_RFfBetDE0zk)

North Mini Code is a 30B parameter MoE coding model (3B active) that Cohere released June 9 under Apache 2.0, trained specifically for agentic software engineering. We will demo it live in OpenCode so you can watch it work through an agentic coding task end to end. Alongside the live agent session, we'll walk through the architecture and the post-training pipeline that got it there: two stages of SFT followed by async RLVR across terminal and SWE environments.

- Event context: AI Tinkerers Montreal - June Demo Meetup — 2026-06-17 — Montreal
- Public talk page: https://montreal.aitinkerers.org/talks/rsvp_RFfBetDE0zk

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