vikash06/doctorLLM
TEXT GENERATIONConcurrency Cost:1Model Size:7BQuant:FP8Ctx Length:4kPublished:Feb 3, 2024License:mitArchitecture:Transformer0.0K Open Weights Cold
The vikash06/doctorLLM is a 7 billion parameter language model fine-tuned for generating creative medical responses. It is specifically designed to handle questions or instructions requiring general medical knowledge without external searching. This model excels at providing detailed, constrained, and instruction-following medical responses, making it suitable for applications needing nuanced medical dialogue.
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Overview
vikash06/doctorLLM is a 7 billion parameter language model developed by vikash06, specifically fine-tuned for generating creative and instruction-adherent medical responses. It was trained over 10 epochs on 2000 data points, leveraging the ChatDoctor dataset as its reference.
Key Capabilities
- Creative Medical Response Generation: Designed to produce imaginative yet medically sound answers to complex prompts.
- Instruction Following: Excels at adhering to specific constraints, guidelines, and requirements provided in the input prompt.
- General Medical Knowledge: Capable of responding to questions that require a broad understanding of medical concepts without needing to search for information.
Good For
- Medical Dialogue Simulation: Ideal for creating realistic doctor-patient interactions or medical scenario training.
- Content Generation: Useful for generating creative medical content, such as hypothetical patient cases or educational materials.
- Constraint-Based Response: Applications where responses must strictly follow given instructions and formats.