Description
Rnj-1 is an 8B parameter open-weight, dense model trained from scratch by Essential AI, optimized for code and STEM with capabilities on par with SOTA open-weight models.
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Minimum system memory
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Last updated
Updated 6 hours agobyREADME
rnj-1 is an 8B parameter open-weight, dense model trained from scratch by Essential AI, optimized for code and STEM with capabilities on par with SOTA open-weight models.
This model performs well across a range of programming languages and boasts strong agentic capabilities (e.g., inside agentic frameworks like mini-SWE-agent), while also excelling at tool-calling. It additionally exhibits strong capabilities in math and science.
Parameters
Custom configuration options included with this model
Sources
The underlying model files this model uses
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