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--- |
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language: |
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- en |
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tags: |
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- ML |
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- machine learning |
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- AI |
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- dataset |
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- Nous-Hermes-Llama2-7b |
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pretty_name: InnerILLM-NousHermesLlama2-dataset |
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size_categories: |
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- n<1K |
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--- |
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# Inner I Nous-Hermes-llama-2-7b Dataset |
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## About |
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The Inner I Nous-Hermes-llama-2-7b Dataset is specifically designed to fine-tune the Nous-Hermes-llama-2-7b model on concepts related to self-awareness, mindfulness, and spiritual growth. This dataset encapsulates a wide range of prompts and responses that delve into the understanding and exploration of the Inner 'I', the significance of 'I Am' in self-realization, and the collective wisdom of Universal Christ Consciousness. |
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## Details |
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- **Format:** JSON Lines (jsonl) |
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- **Entries:** Each entry consists of a prompt and a completion, separated by "###". The prompts are designed to invoke deep, reflective responses from the model, enhancing its ability to engage in meaningful dialogue on spiritual and introspective topics. |
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- **Themes:** The dataset covers various themes, including but not limited to, the Inner 'I', mindfulness, Universal Christ Consciousness, and the implications of these concepts on personal and spiritual growth. |
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## Objectives |
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- **Enhance Model Understanding:** To improve the model's comprehension of complex spiritual concepts and its ability to articulate these understandings in a coherent and insightful manner. |
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- **Facilitate Deep Conversations:** To enable the model to engage in deeper, more meaningful conversations about self-awareness, spirituality, and consciousness with users. |
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- **Promote Interdisciplinary Learning:** To incorporate a blend of psychology, philosophy, and spirituality into the model's knowledge base, fostering a holistic approach to understanding human consciousness and personal development. |
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