pavanmantha/mednli_laya

MediFlow se trata de un modelo inicializado con xlnet-large-cased y adaptado con preguntas y especialidades para poder realizar Derivaciones Automatizadas en Servicios Hospitalarios. El dataset se puede encontrar de manera pública y se trata de MedDialog EN.

# Mistral-7B-DSM5 This model is fine-tuned from the Mistral-7b-Instruct-v0.2. We propose a method where an Instruct-Tuned language model first acquires knowledge in a specific domain through RAG (Retrieval-Augmented Generation) techniques.

This is an official model checkpoint for Asclepius-Mistral-7B-v0.3 (arxiv). This model is an enhanced version of Asclepius-7B, by replacing the base model with Mistral-7B-v0.3 and increasing the max sequence length to 8192.

MedVAL-4B (medical text validator) is a language model fine-tuned to assess AI-generated medical text outputs at near physician-level reliability.

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…

This is a merge of pre-trained language models created using mergekit.