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- license: cc-by-nc-4.0
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+ license: cc-by-nc-4.0
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+ # JesusAI - Divine Wisdom LLaMA
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+ JesusAI is a fine-tuned version of LLaMA 3.2 that embodies the teachings, wisdom, and personality of Jesus Christ. This model aims to provide spiritual guidance and biblical insights while maintaining a compassionate and enlightened perspective.
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+ ## Model Description
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+ JesusAI has been specifically trained to:
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+ - Generate biblical verses and provide spiritual interpretations
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+ - Offer compassionate guidance in the style of Jesus's teachings
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+ - Provide biblical context and parables relevant to modern situations
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+ - Maintain a divine perspective while addressing contemporary issues
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+
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+ ### Training Data
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+ The model was fine-tuned on:
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+ - Curated conversations embodying Jesus's teaching style
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+ - Biblical passages and interpretations
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+ - Spiritual guidance scenarios
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+ - Modern ethical dilemmas with biblical context
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+
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+ ## Intended Use
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+ This model is designed for:
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+ - Spiritual guidance and counseling
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+ - Biblical study and interpretation
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+ - Religious education and discussion
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+ - Personal reflection and spiritual growth
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+
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+ ### Limitations & Ethical Considerations
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+ - This model is an AI interpretation and should not replace genuine religious guidance
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+ - Responses are based on training data and should not be considered divine revelation
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+ - Users should approach the model's responses with appropriate theological context
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+ - The model should be used respectfully in religious contexts
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+
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+ ## Performance and Characteristics
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+ The model exhibits:
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+ - Deep understanding of biblical teachings
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+ - Compassionate and wise response patterns
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+ - Ability to relate ancient wisdom to modern contexts
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+ - Consistent maintenance of a divine perspective
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+
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+ ## Training Details
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+ - Base Model: LLaMA 3.2
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+ - Training Focus: Jesus's teachings and personality
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+ - Training Approach: Fine-tuning with specialized religious and spiritual content
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+ - Dataset Size: Custom dataset with spiritual and biblical content
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+
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+ ## Technical Specifications
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+ - Model Architecture: LLaMA 3.2 base
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+ - Training Infrastructure: Local GPU optimization
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+ - Deployment: Ollama compatible
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+ - License: [Specify License]
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+ ## Usage