DeepSeek-R1-Medical-COT
| Property | Value |
|---|---|
| Base Model | unsloth/deepseek-r1-distill-llama-8b-unsloth-bnb-4bit |
| Developer | hitty28 |
| License | Apache-2.0 |
| Model Hub | Hugging Face |
What is DeepSeek-R1-Medical-COT?
DeepSeek-R1-Medical-COT is a specialized medical language model that builds upon the DeepSeek R1 architecture. This model has been specifically optimized for medical applications using chain-of-thought reasoning approaches. It leverages the Unsloth optimization framework to achieve faster training speeds while maintaining high performance.
Implementation Details
The model is built on the DeepSeek R1 architecture and has been fine-tuned using a combination of Unsloth and Hugging Face's TRL (Transformer Reinforcement Learning) library. This implementation achieves training speeds up to 2x faster than conventional approaches while maintaining model quality.
- Utilizes the 8-bit variant of the DeepSeek R1 architecture
- Implements chain-of-thought reasoning for medical applications
- Optimized using Unsloth framework for improved training efficiency
- Integrated with HuggingFace's TRL library for enhanced fine-tuning capabilities
Core Capabilities
- Medical domain-specific reasoning and analysis
- Chain-of-thought processing for complex medical queries
- Efficient inference with 4-bit quantization
- Optimized for medical knowledge applications
Frequently Asked Questions
Q: What makes this model unique?
This model combines medical domain expertise with chain-of-thought reasoning capabilities, while leveraging advanced optimization techniques through Unsloth for improved training efficiency.
Q: What are the recommended use cases?
The model is particularly suited for medical domain applications requiring complex reasoning, including medical diagnosis support, medical literature analysis, and healthcare-related query processing.
