Rnj-1

What it does

Rnj-1 is an 8B-parameter open-weight dense model family from Essential AI. rnj-1 (base) and rnj-1-instruct (instruction-tuned) deliver strong code, agentic, tool-calling, math, and science capabilities—on par with leading open-weight models.

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

Rnj-1 is a family of 8B parameter open-weight, dense models trained from scratch by Essential AI, optimized for code and STEM with capabilities on par with SOTA open-weight models. These models perform well across a range of programming languages and boast strong agentic capabilities (e.g., inside agentic frameworks like mini-SWE-agent), while also excelling at tool-calling. They additionally exhibit strong capabilities in math and science. Herein, rnj-1 refers to the base model, while rnj-1-instruct refers to the post-trained instruction tuned model. We evaluate Rnj-1 models against models of comparable size. In addition to accuracy, we also show the FLOPs used in pre-training for each…from huggingface.co

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