BioMedLM
Stanford CRFM
• Framework: PyTorchBioMedLM is a specialized open-source language model developed by Stanford's Center for Biomedical Informatics Research. Built with PyTorch and licensed under Apache 2.0, it focuses on understanding and generating biomedical and clinical text, supporting applications like medical research, clinical decision support, and bioinformatics.
BioMedLM AI Model
Model Performance Statistics
Views
Released
Last Checked
Version
- Medical QA
- Literature Synthesis
- Parameter Count
- N/A
Dataset Used
PubMed, MIMIC-III, ClinicalTrials.gov
Related AI Models
Discover similar AI models that might interest you
OpenBioLLM-7B
OpenBioLLM-7B
Saama AI Labs
OpenBioLLM-7B is a specialized open-source large language model designed for biomedical and life sciences applications. Built with PyTorch and released under the Apache 2.0 license, it provides advanced natural language understanding capabilities tailored to bioinformatics, medical research, and clinical data analysis, enabling improved insights and automation in biomedical workflows.
EvoDiff
EvoDiff
Microsoft Research
EvoDiff is an innovative open-source AI model by Microsoft Research, built to generate novel protein sequences using diffusion models. It supports bioengineering and synthetic biology tasks by providing biologically plausible protein structures, trained on extensive biological datasets. Released under the MIT license and built with PyTorch.
Emu2-Chat
Emu2-Chat
Beijing Academy of AI
Emu2-Chat is a conversational AI model designed for engaging and context-aware chat interactions. It is optimized for natural language understanding and generating human-like responses across various domains. Ideal for chatbots, virtual assistants, and customer support automation.