base_model:
- google/gemma-2-2b-it
datasets:
- lavita/ChatDoctor-HealthCareMagic-100k
library_name: transformers
pipeline_tag: text-generation
Model Card for Model ID
Baymax is a conversational AI model built specifically to help answer patient questions about health concerns. It’s based on Gemma-2B-IT but fine-tuned with real doctor-patient conversation data, so it’s trained to understand the context and sensitivities of medical discussions. The goal with Baymax is to create a model that’s not just informative, but also empathetic—providing answers that feel supportive and helpful, just like a real conversation with a healthcare provider.
Model Details
Model Description
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by: [Samarth Mishra]
- Model type: [More Information Needed]
- Language(s) (NLP): [More Information Needed]
- License: [More Information Needed]
- Finetuned from model [optional]: [google-gemma-2-2b-it]
Model Sources [optional]
- Repository: [More Information Needed]
- Paper [optional]: [More Information Needed]
- Demo [optional]: [More Information Needed]
Uses
Recommendations
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
How to Get Started with the Model
Use the code below to get started with the model.
[More Information Needed]
Training Details
Training Data
[https://huggingface.co/datasets/lavita/ChatDoctor-HealthCareMagic-100k]