Llama3-OpenBioLLM-70B
| Property | Value |
|---|---|
| Base Model | Meta-Llama-3-70B-Instruct |
| Parameters | 70 Billion |
| License | Llama3 License |
| Developer | Saama AI Labs |
| Primary Use | Biomedical/Healthcare |
What is Llama3-OpenBioLLM-70B?
Llama3-OpenBioLLM-70B is a specialized large language model designed specifically for biomedical applications, built on Meta's Llama-3 architecture. This model represents a significant advancement in medical AI, achieving state-of-the-art performance across multiple biomedical benchmarks with an average score of 86.06%, surpassing larger models like GPT-4 and Med-PaLM-2.
Implementation Details
The model leverages advanced training techniques including Direct Preference Optimization (DPO) and custom medical instruction datasets. It was fine-tuned using QLoRA with specific hyperparameters including a learning rate of 0.0002 and cosine scheduler across 8 H100 GPUs.
- Advanced LoRA implementation with r=128 and alpha=256
- Trained with adamw_bnb_8bit optimizer
- Comprehensive target modules including q_proj, v_proj, k_proj, and others
Core Capabilities
- Clinical Knowledge Graph Analysis (92.93% accuracy)
- Medical Genetics Interpretation (93.197% accuracy)
- Anatomical Understanding (83.904% accuracy)
- Clinical Entity Recognition
- Biomarker Extraction
- Medical Document Summarization
Frequently Asked Questions
Q: What makes this model unique?
The model's distinctive feature is its superior performance in biomedical tasks while maintaining a smaller parameter count compared to competitors. It achieves state-of-the-art results across 9 diverse biomedical datasets, making it particularly valuable for healthcare applications.
Q: What are the recommended use cases?
The model excels in research and development applications including clinical note summarization, medical question answering, entity recognition, and biomarker extraction. However, it should not be used for direct patient care or clinical decision-making without proper validation.
