aiqbench analysis
Cohere's North Mini Code delivers a sovereign AI solution by enabling capable coding agents to run on a single H100 via a sparse MoE architecture with only 3B active parameters. The model supports a 256K context window and covers agentic software engineering tasks, offering a practical path for teams to self-host without large GPU clusters. Weights are available under Apache 2.0, facilitating immediate deployment for code generation and terminal operations.
Meet ‘North Mini Code’: Cohere’s 30B Open-Weight Mixture-of-Experts Model With 3B Active Parameters for Agentic Coding
Cohere's first developer coding model is a 30B mixture-of-experts running on a single H100 with 256K context length. The post Meet ‘North Mini Code’: Cohere’s 30B Open-Weight Mixture-of-Experts Model With 3B Active Parameters for Agentic Coding appeared first on MarkTechPost.
This week, Cohere AI team shipped its first developer-facing coding model named ‘North Mini Code‘. ‘North Mini Code’ is open-weight and focused at software engineers. It is a mixture-of-experts (MoE) model with 30B total parameters. Only 3B of those parameters activate per token. The release is positioned around “sovereign” AI. The idea is simple: run capable models on your own terms. Small, efficient coding models let teams self-host without large GPU clusters. North Mini Code targets that gap directly. North Mini Code is a 30B-A3B parameter model. The A3B stands for three…
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