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As AI becomes integrated into every industry, without a sovereign solution, you run the risk of your infrastructure shutting down at a moment's notice.
— Cohere (@cohere) 22 juin 2026
Cohere CEO @aidangomez live at @FII_Institute1: pic.twitter.com/WCL6RISah5
As AI integrates into every industry, without a sovereign solution, you run the risk of your infrastructure suddenly stopping at any moment. CEO of Cohere @aidangomez live at @FII_Institute1:
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North Mini Code is now supported on @ollama. Now run our model locally and use it with Codex, OpenClaw, and more. Download it here: https:// cohere.link/SVwVbGZ
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You can also use North Mini Code via the @OpenRouter API for free. Experiment with the weights and make it your own creation. Weights: https://cohere.link/9tsaUH8
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4-bit quantization is now available, making our first open-source agentic coding model small enough to run on a Mac. Get the weights here:
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Four days ago, co-founder @nickfrosst warned about the dangers of subscriptions to proprietary LLMs on @MTSlive:
— Cohere (@cohere) 14 juin 2026
"We released [North Mini Code] because we think this technology needs to be sovereign. It needs to be owned, and controlled, by the people who use it." pic.twitter.com/c5t2muvvdW
Four days ago, co-founder @nickfrosst warned against the dangers of subscriptions to proprietary large language models on @MTSlive: "We published [North Mini Code] because we believe this technology must be sovereign. It must be
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When you rent your artificial intelligence, you have no control and no choice. That is why sovereignty and ownership matter. Whether it means using your own hardware, open source software, or extensive customization. Own.
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A huge shoutout to michaelasper on Hugging Face/corruptbytes on Reddit for building support in oMLX
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Our community moves fast. Unsloth GGUFs are already up. Run North Mini Code locally with a llama.cpp setup, Ollama, or vLLM, with quants from 9GB to full BF16
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The #1 ask, delivered by devs. llama.cpp support is under review thanks to michaelw9999 on GitHub/ElectronicStranger53 on Reddit
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These tests measure performance in varying signal-to-noise conditions: the kinds of audio found in meeting rooms, contact centres, & phone calls. In other words, environments where enterprise speech applications actually operate. Cohere Transcribe ranked #1 across every metric: