Data as of Jul 25, 2026 · Based on 2,718,867 AI responses across 9,511 prompts · See how Parse measures this
Root Judge is a fine-tuned, mid-sized LLM designed to serve as an evaluation tool for LLM systems, enabling context-grounded hallucination detection, pairwise preference judgments, and structured, explainable scoring outputs that can be deployed locally with privacy controls. It offers open weights under the Apache 2.0 license to foster innovation, providing privacy-focused deployments and cost-effective evaluation at scale. Built from Llama-3.3-70B-Instruct, Root Judge supports large context sizes, tool calling, and RAG workflows, delivering state-of-the-art hallucination detection and instruction-following performance compared with leading models.
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