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README.md

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+# Model Card: Fine-tuned Phi3-mini for Mental Health FAQs
+
+## Model Details
+
+- **Model Name**: Phi3-mini-MentalHealth
+- **Base Model**: Phi3-mini
+- **Model Type**: Language Model
+- **Framework**: MLX
+- **Fine-tuning Dataset**: Mental Health FAQ data from Kaggle
+- **Format**: GGUF (GPT Quantized)
+
+## Intended Use
+
+This model is designed to provide empathetic and informative responses to frequently asked questions about mental health. It can be used in applications such as:
+
+- Mental health chatbots
+- Educational resources about mental health
+- Preliminary mental health screening tools (with appropriate disclaimers)
+
+## Training Data
+
+The model was fine-tuned on a dataset of Mental Health FAQs from Kaggle. This dataset likely includes:
+
+- Common questions about mental health conditions
+- Basic information about symptoms and treatments
+- General mental health and wellness advice
+
+Note: The exact contents and size of the dataset should be verified and added here.
+
+## Fine-tuning Process
+
+The Phi3-mini model was fine-tuned using the MLX framework. Specific details about the fine-tuning process, such as number of epochs, learning rate, and other hyperparameters, should be added here.
+
+## Performance and Limitations
+
+- **Improved Empathy**: The fine-tuned model demonstrates increased empathy in its responses compared to the base model.
+- **Domain Specificity**: The model's knowledge is focused on mental health topics covered in the FAQ dataset.
+- **Limitations**: 
+  - The model's knowledge is limited to the scope of the training data.
+  - It should not be used as a substitute for professional mental health advice or diagnosis.
+  - The model may not be up-to-date with the latest mental health research or treatments.
+
+## Ethical Considerations
+
+- **Privacy**: The model should be used in ways that protect user privacy, especially given the sensitive nature of mental health discussions.
+- **Bias**: While efforts have been made to improve empathy, the model may still exhibit biases present in the training data.
+- **Misuse Potential**: Care should be taken to prevent the model from being used to provide medical advice it's not qualified to give.
+
+## Additional Information
+
+- **License**: Apache 2.0
+- **Developer**: Dattaraj Rao - Persistent
+- **Date Created**: 16-Jul-2024
+- **Version**: 1.0
+
+For more information or to report issues, please contact: https://www.linkedin.com/in/dattarajrao/