Meditron

Meditron, developed by EPFL's Laboratory of Intelligent Systems, represents a pivotal shift in specialized vertical AI. Built upon the Llama 2 and Llama 3 architectures, Meditron is an open-source suite of large language models (7B and 70B parameters) specifically fine-tuned for the medical domain. Its 2026 market position is defined by its rigorous training on a curated 48.1 billion-token corpus, including peer-reviewed literature from PubMed, clinical guidelines from the Red Cross, and high-quality medical textbooks. Unlike general-purpose models, Meditron employs chain-of-thought (CoT) reasoning aligned with medical decision-making protocols. The architecture utilizes a low-rank adaptation (LoRA) strategy for efficient domain-specific fine-tuning, allowing it to outperform GPT-3.5 and Llama-base models on benchmarks like MedQA and MedMCQA. For the enterprise and healthcare provider, Meditron offers a sovereign alternative to proprietary medical APIs, ensuring data privacy through local deployment—a critical requirement for HIPAA and GDPR compliance in clinical environments. Its ability to synthesize evidence from diverse medical sources while maintaining a high degree of clinical accuracy makes it the preferred foundation for diagnostic support systems and medical research automation.