🧠 Recurv-Clinical-Deepseek-R1 Model
Overview
The Recurv-Clinical-Deepseek-R1 model is an upgraded version of Deepseek’s R1, specifically designed to provide accurate and contextually relevant support for healthcare professionals and researchers. This model excels at answering clinical questions, assisting in gathering patient histories, and generating detailed explanations tailored to various clinical situations through advanced instruction tuning techniques.
(Knowledge cut-off date: 22th January, 2025)
🎯 Key Features
- Optimized for clinical-specific queries across various specialties.
- Fine-tuned for clinical and research-oriented workflows.
- Lightweight parameter-efficient fine-tuning with safetensors format.
- Multi-turn conversation support for context-rich interactions.
- Generates comprehensive answers and evidence-based suggestions.
🚀 Model Card
| Parameter | Details |
|---|---|
| Base Model | DeepSeek R1 Distill Llama 8B |
| Fine-Tuning Framework | safetensors |
| Dataset Size | 12,632 high-quality Q&A pairs |
| Context Length | 4,096 tokens |
| Training Steps | 100,000 |
| Model Size | 8 billion parameters |
📊 Model Architecture
Dataset Sources
The dataset comprises high-quality Q&A pairs curated from clinical textbooks, research papers, and clinical guidelines.
| Source | Description |
|---|---|
| PubMed | Extracted insights from open-access clinical research. |
| Clinical Guidelines | Data sourced from WHO, CDC, and specialty-specific guidelines. |
| EHR-Simulated Data | Synthetic datasets modeled on real-world patient records for anamnesis workflows. |
🌟 Try The Model
🚀 Recurv-Clinical-Deepseek-R1 on Our Website
🙌 Contributing
We welcome contributions to enhance Recurv-Clinical-Deepseek-R1. You can:
- Share feedback or suggestions on the Hugging Face Model Hub
- Submit pull requests or issues for model improvement.
📜 License
This model is licensed under the MIT License.
📞 Community
For questions or support, connect with us via:
- Twitter: RecurvAI
- Email: [email protected]
🤝 Acknowledgments
Special thanks to the clinical community and researchers for their valuable insights and support in building this model. Together, we’re advancing AI in healthcare.
Model tree for RecurvAI/Recurv-Clinical-Deepseek-R1
Base model
deepseek-ai/DeepSeek-R1