Model Detail
North-Mini-Code-1.0
—North-Mini-Code-1.0 is a code generation model with 15.2B parameters released by CohereLabs. The model is registered under the text-generation pipeline tag on Hugging Face, distributed under the permissive apache-2.0 license.
North-Mini-Code-1.0 ships with 15.2B parameters. Total weight footprint is approximately 30.5 GB, which is the relevant figure when planning local-inference VRAM. The apache-2.0 license is permissive, allowing commercial deployment and derivative work without per-seat fees, though attribution requirements still apply.
North-Mini-Code-1.0 is best fit for code completion, repository-scale Q&A, and pair-programming integrations. It is a less obvious choice for one-shot generation of security-critical code without review. Treat this as a starting matrix rather than a benchmark verdict — the right deployment usually depends on the specific evaluation suite that mirrors your workload.
BOUTEF: A Multilingual Corpus for FakeNews in North Africa -- Language as a Weapon
arXiv:2606.00193v2 Announce Type: replace Abstract: The rapid spread of fake news on social media has become a major challenge, particularly in multilingual and under-resourced contexts such as North Africa. In this paper, we introduce BOUTEF, a large-scale multilingual corpus designed to study the
Introducing North Mini Code: Cohere’s First Model For Developers
Towards High-Quality Machine Translation for Kokborok: A Low-Resource Tibeto-Burman Language of Northeast India
arXiv:2604.19778v1 Announce Type: new Abstract: We present KokborokMT, a high-quality neural machine translation (NMT) system for Kokborok (ISO 639-3), a Tibeto-Burman language spoken primarily in Tripura, India with approximately 1.5 million speakers. Despite its status as an official language of T
AI-informed model-analogs for understanding subseasonal-to-seasonal jet stream and North American temperature predictability
arXiv:2506.14022v3 Announce Type: replace-cross Abstract: Subseasonal-to-seasonal forecasting is crucial for public health, disaster preparedness, and agriculture, and yet it remains a particularly challenging timescale to predict. We explore the use of an interpretable AI-informed model analog fore
FLEURS-Kobani: Extending the FLEURS Dataset for Northern Kurdish
arXiv:2603.29892v1 Announce Type: new Abstract: FLEURS offers n-way parallel speech for 100+ languages, but Northern Kurdish is not one of them, which limits benchmarking for automatic speech recognition and speech translation tasks in this language. We present FLEURS-Kobani, a Northern Kurdish (ISO
