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SFT_AW-no-ref
con-cord/SFT_AW-no-ref
SFT_AW-no-ref is a machine learning model from con-cord. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
This repository contains a medical LLM-as-a-Judge model based on Gemma-3-4B and fine-tuned for medical response evaluation tasks. This version uses agreement-weighted SFT without reference answers. - Base architecture…
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At a glance
- Model type
- gemma3
- Access
- Public
- Created
- Jul 17, 2026
- Updated
- Jul 17, 2026
- SHA
- a04b0ef2
Model card
From the Hugging Face model README
Overview
This repository contains a medical LLM-as-a-Judge model based on Gemma-3-4B and fine-tuned for medical response evaluation tasks. This version uses agreement-weighted SFT without reference answers.
Base Model
- Base architecture: Gemma-3-4B
- Frameworks:
- Transformers
- PEFT / LoRA
- TRL
Training Objective
The model is designed to evaluate generated medical answers according to predefined clinical evaluation criteria. Depending on the version, the model may operate:
- with expert reference answers (
with-ref) - without reference answers (
no-ref)
- Type
- gemma3
- Created
- Jul 17, 2026
- Updated
- Jul 17, 2026