epfLLM/meditron

Health v2 · maintenance only

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Adoption not part of the score

2208 stars · 217 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Meditron is a suite of open-source medical large language models (7B and 70B) adapted from Llama-2 via continued pretraining on a curated medical corpus including PubMed content and clinical guidelines. The repository provides code and instructions for downloading and preprocessing the training data and loading the models via Hugging Face Transformers.

Use cases

• run a medical domain LLM locally
• answer medical exam-style reasoning questions with an open model
• preprocess PubMed abstracts and clinical guidelines for LLM pretraining
• finetune a medical base model on clinical data
• compare open medical LLMs against GPT-3.5 and Flan-PaLM
• download the GAP-Replay medical pretraining corpus

When to choose

• you need an open-weights LLM with strong medical knowledge for research
• you want a base model to finetune for healthcare NLP tasks
• you need the clinical guidelines corpus or GAP-Replay dataset for your own pretraining

When to avoid

• you need a production clinical decision-support system - the authors warn against deployment without extensive alignment and trials
• you need up-to-date medical information past the August 2023 knowledge cutoff
• you lack GPU resources for 7B/70B inference

Facets

library · maturity maintenance

llm-training machine-learning nlp etl healthcare large-language-models deep-learning python medical-llm llama-2 continued-pretraining huggingface clinical-guidelines domain-adaptive-pretraining natural-language-processing gpu linux

Member repositories

For agents

markdown · JSON · MCP: product_card(name="epfLLM/meditron")