con-cord/Mod1_3-no-ref
VISIONConcurrent Unit Cost:1Model Size:4.3BQuant:BF16Context Size:32kPublished:Jul 17, 2026Architecture:Transformer Featherless Exclusive Cold
con-cord/Mod1_3-no-ref is a 4.3 billion parameter medical LLM-as-a-Judge model built upon the Gemma-3-4B architecture. This version is specifically fine-tuned for evaluating generated medical responses without relying on expert reference answers. It is designed to assess medical answers against predefined clinical evaluation criteria, making it suitable for automated quality assurance in medical AI applications.
Loading preview...
Overview of con-cord/Mod1_3-no-ref
This model, developed by con-cord, is a specialized medical LLM-as-a-Judge, leveraging the Gemma-3-4B base architecture. With 4.3 billion parameters, it is specifically engineered for the critical task of evaluating the quality of generated medical responses.
Key Capabilities
- Medical Response Evaluation: Designed to assess AI-generated answers in medical contexts.
- Reference-Free Assessment: Uniquely operates without the need for expert reference answers, evaluating responses based on predefined clinical criteria.
- Gemma-3-4B Foundation: Built on a robust base model, utilizing frameworks like Transformers, PEFT/LoRA, and TRL for fine-tuning.
Good For
- Automated Quality Assurance: Ideal for systems requiring automated evaluation of medical text outputs where expert reference answers are unavailable or impractical.
- Clinical Evaluation: Useful for assessing adherence to clinical evaluation criteria in AI-generated medical content.
- Research in Medical AI: Provides a tool for researchers exploring methods of medical response assessment without direct comparison to human-written gold standards.