Hugging Face Overview
R3-Qwen3-14B-14k: A Robust Rubric-Agnostic Reward Model
R3-Qwen3-14B-14k is a 14 billion parameter reward model developed by rubricreward, part of their R3 (Robust Rubric-Agnostic Reward Models) family. It is fine-tuned from the Qwen/Qwen3-14B architecture and specializes in evaluating responses based on provided rubrics and reasoning.
Key Capabilities
- Rubric-Agnostic Evaluation: Designed to provide robust assessments across various tasks without being tied to a single rubric format.
- Diverse Task Coverage: Trained on a curated R3 dataset encompassing 45 diverse sources, including classification, preference optimization, and question answering.
- Detailed Assessment: Each training example includes an instruction, task description, input, response(s), evaluation rubrics, a score, and corresponding reasoning, enabling the model to generate fair and detailed assessments.
- English Language Support: Primarily focused on English NLP tasks.
When to Use This Model
This model is ideal for applications requiring automated, detailed, and robust evaluation of generated text. It is particularly well-suited for:
- Automated Content Scoring: Assigning scores and providing reasoning for responses in various NLP tasks.
- Preference Optimization: Evaluating and ranking different responses based on specific criteria.
- Quality Assurance: Assessing the quality of generated content against defined rubrics.
For more technical details, refer to the project page and the associated research paper.