Recurv-Medical-Deepseek-R1
| Property | Value |
|---|---|
| Base Model | DeepSeek R1 Distill Llama 8B |
| Parameters | 8 billion |
| Context Length | 4,096 tokens |
| Training Dataset | 67,299 Q&A pairs |
| License | MIT License |
| Model URL | Hugging Face |
What is Recurv-Medical-Deepseek-R1?
Recurv-Medical-Deepseek-R1 is a specialized medical AI model that enhances the capabilities of DeepSeek's R1 architecture for healthcare applications. Built on an 8B parameter foundation, this model has been extensively fine-tuned using over 67,000 high-quality medical Q&A pairs, making it particularly effective for healthcare professionals and researchers.
Implementation Details
The model utilizes lightweight parameter-efficient fine-tuning with safetensors format and supports multi-turn conversations with a 4,096 token context window. Training data is sourced from PubMed, clinical guidelines (WHO, CDC), and synthetic EHR data, ensuring comprehensive coverage of medical knowledge.
- Specialized medical query optimization across multiple specialties
- Clinical and research workflow integration
- Evidence-based suggestion generation
- Advanced instruction tuning techniques
Core Capabilities
- Medical question answering and clinical support
- Patient history gathering and analysis
- Research-oriented data interpretation
- Comprehensive medical explanations
- Context-rich multi-turn conversations
Frequently Asked Questions
Q: What makes this model unique?
The model's specialized medical training, combined with its efficient 8B parameter architecture and extensive medical dataset, makes it particularly effective for healthcare applications while maintaining computational efficiency.
Q: What are the recommended use cases?
The model excels in clinical decision support, patient history documentation, medical research assistance, and providing evidence-based medical explanations. It's designed specifically for healthcare professionals and researchers.
