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--- |
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base_model: |
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- google/gemma-2-9b-it |
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datasets: |
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- lavita/ChatDoctor-HealthCareMagic-100k |
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library_name: transformers |
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pipeline_tag: text-generation |
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--- |
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# Model Card for Model ID |
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<!-- Provide a quick summary of what the model is/does. --> |
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Baymax is a conversational AI model built specifically to help answer patient questions about health concerns. It’s based on Gemma-2-9B-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. |
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## Model Details |
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### Model Description |
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<!-- Provide a longer summary of what this model is. --> |
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This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated. |
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- **Developed by:** [Samarth Mishra] |
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- **Finetuned from model [optional]:** [google-gemma-2-9b-it] |
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## Uses |
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<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. --> |
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### Recommendations |
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<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> |
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. |
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