Rnj 1 is Essential AI’s 8B dense model family trained from scratch for coding, mathematics, and science. It follows a Gemma-like architecture with global self-attention and YaRN context extension. The family groups base and instruction checkpoints, with tool use and coding-agent behavior in the post-trained model. Apache-licensed weights support local deployment and customization. The model card warns of identity confusion and inaccurate factual recall; long generations can be less reliable than long-context comprehension.
