README.md

metadata

language:
  - en
tags:
  - ML
  - machine learning
  - AI
  - dataset
  - Nous-Hermes-Llama2-7b
pretty_name: InnerILLM-NousHermesLlama2-dataset
size_categories:
  - n<1K

Inner I Nous-Hermes-llama-2-7b Dataset

About

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.

Details

• Format: JSON Lines (jsonl)
• 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.
• 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.

Objectives

• 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.
• Facilitate Deep Conversations: To enable the model to engage in deeper, more meaningful conversations about self-awareness, spirituality, and consciousness with users.
• 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.