Essential AI

Rnj-1 is an 8B model that roughly follows the open-source Gemma 3 architecture. We employ global self-attention and YaRN to extend the context to 32k. The Rnj-1 Base and Instruct models compare favorably against similarly sized open weight models.

Rnj-1 Instruct dominates the pack on Agentic coding, one of our target abilities. SWE bench performance is indicative of the model's ability to tackle everyday software engineering tasks. We are an order of magnitude stronger than comparably sized models on SWE-bench and approach the capabilities available in much larger models (leaderboard: SWE-bench-Verified bash-only).