nikitaredy/medictron-7B

https://huggingface.co/nikitaredy/medictron-7B
Activeby nikitaredy8510updated 3 months ago
Python

A domain-adapted clinical LLM fine-tuned on synthetic Indian medical Q&A records using QLoRA (4-bit quantization) with Unsloth 2x speedup. Built to power the conversational AI layer.

Sourced from

  • HuggingFace — nikitaredy/medictron-7B

Related resources

LoRA fine-tune of Qwen3.5-9B on synthetic clinical triage Q&A pairs generated from PubMed Central open-access papers. The model is specialized for emergency-medicine decision-making: triaging patients, applying clinical decision rules, and generating protocol-grounded triage recommendations.

Active04 months ago
Python

Ultra-fast extraction of predefined clinical variables from free-text clinical notes.

Active982 weeks ago
Python

This model is a fine-tuned version of LiquidAI/LFM2.5-230M optimized for medical chat and consultation.

Active452 months ago

QLoRA adapter for Llama-3.1-8B-Instruct, fine-tuned on PubMedQA for yes / no / maybe biomedical question answering (run5).

Active213 months ago
Python

This model is a fine-tuned version of google/medgemma-4b-it adapted for binary mammogram classification on the OMAMA 256×256 dataset. The dataset consists of ~154k mammogram image slices (.npz) with metadata JSONs providing labels (NonCancer, Cancer).

Idle1511 months ago
Python