jilp00/Hermes-2-SOLAR-10.7B-Symbolic
TEXT GENERATIONConcurrency Cost:1Model Size:10.7BQuant:FP8Ctx Length:4kPublished:Jan 6, 2024License:apache-2.0Architecture:Transformer0.0K Open Weights Cold
jilp00/Hermes-2-SOLAR-10.7B-Symbolic is a 10.7 billion parameter model, fine-tuned from Nous-Hermes-2-SOLAR-10.7B. It specializes in understanding and generating complex, hierarchical ICD medical coding systems. The model was trained on 93,000 meticulously curated samples to enhance its symbolic reasoning capabilities for medical coding tasks.
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Model Overview
jilp00/Hermes-2-SOLAR-10.7B-Symbolic is a specialized large language model, a fine-tuned variant of the Nous-Hermes-2-SOLAR-10.7B architecture. With 10.7 billion parameters, this model has been specifically trained to excel in a niche but critical domain: ICD medical coding.
Key Capabilities
- Specialized Medical Coding: The model's primary strength lies in its ability to process and generate information related to the International Classification of Diseases (ICD) system.
- Hierarchical Understanding: It is designed to comprehend the complex, hierarchical structure inherent in ICD codes, which is crucial for accurate medical documentation and billing.
- Symbolic Reasoning: Fine-tuning on 93,000 carefully structured samples has enhanced its symbolic reasoning, allowing it to better interpret and apply medical coding rules.
Good For
- Automated Medical Coding: Ideal for applications requiring the generation or interpretation of ICD codes from clinical text or other medical data.
- Healthcare Data Processing: Useful in scenarios where understanding the nuances of medical classification systems is paramount.
- Research in Medical NLP: Provides a strong baseline for further research into symbolic reasoning within healthcare-specific natural language processing tasks.