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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.

Capabilities

Trained for tool use

ReasoningSupports reasoning

Minimum system memory

6GB

rnj-1

Public

Forked from essentialai/rnj-1

Model

Revisions

README

Parameters

Custom configuration options included with this model

Reasoning Section Parsing

{ "enabled": true, "startString": "THOUGHT:", "endString": "RESPONSE:" }

Temperature

0.2

Top P Sampling

0.95

Sources

The underlying model files this model uses

Based on

🤗lmstudio-community/rnj-1-instruct-GGUF→

GGUF

rnj-1 by EssentialAI

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.