StratifAI/PolarisFMv2-small

The Clinical Assertion and Negation Classification BERT is introduced in the paper Assertion Detection in Clinical Notes: Medical Language Models to the Rescue? . The model helps structure information in clinical patient letters by classifying medical conditions mentioned in the letter into…

GRamma-12B is a 12-billion-parameter instruction-tuned language model specialized for the Greek medical domain. It is built on top of Gemma 3 12B Instruct and adapted through parameter-efficient fine-tuning on a collection of Greek and bilingual medical question-answering data.

# MedicalLlama3.2-11B-IT ## Model Description This is a fine-tuned version of meta-llama/Llama-3.2-11B-Vision-Instruct on a multimodal dataset consisting of radiological images and associated medical concepts and captions extracted from the PMC Open Access Subset.

Typed-decision adapter for Qwen3.5-4B, tuned on clinical question answering, financial news sentiment and structured record-level workflow decisions.