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Mistral Trismegistus-7B is an AI-driven occult-specific model. Designed for those interested in the occult, metaphysics, and spirituality, it provides insights into a variety of occult topics from ancient wisdom to modern tarot readings.
Mistral and Trismegistus-7B are names based on Hermes Trismegistus, representing the elements of the Greek god Hermes and the Egyptian god Thoth. Mysterious person. Mistral 7B represents the Mistral 7B parametric model used.
Rich instruction set: The model contains approximately 10,000 High-quality instruction covering the occult, spirituality, mysticism, and many other occult topics.
Fast running: Since it is trained based on the Mistral 7B parameter model, it runs quickly even on the CPU, so it can be run on a local PC.
Diversity: This model is not just a "positive energy" model, it is trained on all forms of occult tasks and knowledge, so it does not Limited by other models that choose positivity at the expense of creativity.
Dataset: The model is trained using a synthetic dataset generated by GPT-4, which consists of more than 35,000 samples, covering the Science, spirituality, mysticism and other related knowledge.
The model covers numerous occult topics: Astrology, Alchemy, Tarot, Mediumship and Channeling, Energy Healing, Yoga and Meditation, Spiritual Mathematics, Runeology, Magic and Witchcraft, Mysticism, Kabbalah, Spiritual Realization, Expansion of Consciousness, Spiritual Awakening, Crystal Healing, Color Therapy, Light Therapy, Reincarnation, Soul Contracts, Spiritual Teachers and Guidance, Sacred Geometry Science, auras and chakras, mystical experiences, mystical symbols, mystical traditions and sects, mystical texts and classics, mystical rituals and practices.
Hypnotist: The model can be used to generate guided texts or scripts for hypnosis or deep meditation . However, it is not a substitute for professional hypnotherapy.
Models may provide information on various magical rituals, spells and incantations, but these are generally for entertainment or educational purposes only.
Diviner: The model can imitate various forms of divination, such as tarot cards, spiritual mathematics or astrology, providing some basic explanations and suggestions.
Medium/Psychic: While the model cannot truly communicate with entities in the spirit world or other dimensions, it can generate texts that mimic such communication.
Energy Healer: Models can provide basic information and guidance on forms of energy healing such as Reiki, Qigong, etc., but cannot perform actual healing.
Spiritual Guru: The Model can provide general advice and information about spiritual growth and awakening, but it is not a substitute for a personal spiritual mentor or guidance.
The Occultist: The model can serve as a source of information, providing detailed information on the history, theory, and practice of the occult.
Taoist/Monk: In some cases, the model can also generate prayers, incantations, or other ritual texts related to a specific religious or spiritual tradition.
Whether you are interested in palm reading or personal birth horoscopes, Mistral Trismegistus-7B can provide detailed insights and guidance. It can help you understand the symbolic meanings of different hand lines, the emotional states represented by palm textures, and other related information.
Address: https://huggingface.co/teknium/Mistral-Trismegistus-7B
Developer: https://github. com/teknium1
Looking at China, can large AI digital models also be widely used in the Book of Changes?
According to some information, many people who have done mathematical research on the Book of Changes regard the Zhouyi coefficient as a quantitative index used to describe the mutual relationships and influence between things. In the large AI model, the Zhouyi coefficient is used to describe the correlation and regularity between numbers, thereby helping the AI large model better understand and apply Zhouyi thought. By introducing Zhouyi coefficients, AI large models can better handle complex, nonlinear data and phenomena, and thus are widely used in various fields.
Specifically, the role of the Zhouyi coefficient is mainly reflected in the following aspects:
1. Describing the correlation between numbers: The Zhouyi coefficient can be used to describe The correlation and mutual influence between numbers help the AI large model better understand the relationship between numbers.
2. Reveal the regularity of numbers: The Zhouyi coefficient can also be used to reveal the regularity of numbers, thereby helping large AI models better predict future trends and changes.
3. Optimization algorithms and models: By introducing the Zhouyi coefficient, the algorithms and models of the AI large model can be further optimized, thereby improving the accuracy and reliability of the model.
4. Expansion of application fields: The Zhouyi coefficient has a very wide range of applications and can be applied to various fields such as finance, medical care, education, etc., thereby helping these fields to better deal with various complexities. problems and challenges.
As a new concept in large AI models, the Zhouyi coefficient plays an important role in the correlation and regularity of numbers. By introducing the Zhouyi coefficient, AI large models can better handle complex, non-linear data and phenomena, and thus be more widely used in various fields. In the future, with the continuous advancement of technology and the continuous expansion of application fields, the Zhouyi coefficient will play an increasingly important role.
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