xmutly/OmniMed-Jev-4B

MedJev is [OpenJev Flash 9B] adapted to medicine. This repository adds a zero-shot medical evaluation, Open MedJev: How Far Do Zero-Shot System-One Decisions Go in Medicine?

MedDecider-31B is the flagship of the MedDecider family. Given a clinical state (a note, a trial record or any JSON) and a question with 2 to 10 answer options, it returns a calibrated probability for every option in a single scoring pass, without generating text.

MedDecider-27B is the most robust mid-size member of the MedDecider family. Given a clinical state (a note, a trial record or any JSON) and a question with 2 to 10 answer options, it returns a calibrated probability for every option in a single scoring pass, without generating text.

MedDecider-4B is the smallest member of the MedDecider family, for screening on modest hardware. Given a clinical state (a note, a trial record or any JSON) and a question with 2 to 10 answer options, it returns a calibrated probability for every option in a single scoring pass, without generating…

This repository contains LoRA finetunes of DiffusionGemma (image-conditioned discrete-diffusion LLM) for radiology visual question answering, each paired with an autoregressive Gemma-4 finetune as a controlled baseline. It corresponds to the paper Discrete Diffusion Language Models for Interactive…

MedDecider-9B brings the family's training to a model that runs on a single mid-range GPU. Given a clinical state (a note, a trial record or any JSON) and a question with 2 to 10 answer options, it returns a calibrated probability for every option in a single scoring pass, without generating text.