QIAIUNCC/EYE-Llama_gqa
https://huggingface.co/QIAIUNCC/EYE-Llama_gqa## Model Description EYE-Llama_gqa is a large language model specifically designed for ophthalmic question-answering (QA). It is built upon the Llama 2 architecture and fine-tuned on a the EYE-lit and EYE-QA+ dataset.
Sourced from
- HuggingFace — QIAIUNCC/EYE-Llama_gqa
Related resources
Henrychur/MMedS-Llama-3-8B
by Henrychur# MMedS-Llama3 💻Github Repo 🖨️arXiv Paper
darkknight25/deepseek-16b-medical-GPT
by darkknight25darkknight25/deepseek-16b-medical-GPT is a fine-tuned version of deepseek-ai/deepseek-l6b-moe-chat, optimized for medical question answering, reasoning, and clinical summarization using QLoRA and open-access healthcare datasets.
Large Language and Vision Assistant for bioMedicine (i.e., “LLaVA-Med”) is a large language and vision model trained using a curriculum learning method for adapting LLaVA to the biomedical domain. It is an open-source release intended for research use only to facilitate reproducibility of the…
johnsnowlabs/JSL-MedLlama-3-8B-v2.0
by johnsnowlabs# JSL-MedLlama-3-8B-v2.0
Neeto-1.0-8b is an openly released biomedical large language model (LLM) created by BYOL Academy to assist learners and practitioners with medical exam study, literature understanding, and structured clinical reasoning.