Tag
3 articles
Learn how Cohere's North Mini Code uses mixture-of-experts architecture to enable efficient, large-scale coding assistance with 30B parameters and 3B active parameters.
Learn to deploy and use Cohere's Command A+ 218B parameter model for agentic workflows, optimized to run efficiently on just two H100 GPUs with W4A4 quantization.
Researchers at the Allen Institute for AI and UC Berkeley have developed EMO, a mixture-of-experts model that maintains near-full performance using only 12.5% of its experts, making it more practical for memory-constrained settings.