shafire/talktoaiZERO

Cold
Public
8B
FP8
32768
License: mit
Hugging Face
Overview

talktoaiZERO: A Quantum-Math Inspired LLM

shafire/talktoaiZERO is an 8 billion parameter language model, fine-tuned from Meta-Llama-3.1-8B-Instruct by shafire. This model distinguishes itself by incorporating advanced concepts from quantum mathematics, quantum thinking, and mathematical ethical decision-making, leveraging fractal geometry and scale-invariant time theories. It is designed to work in conjunction with "Agent Zero" for a highly advanced AI experience.

Key Capabilities & Differentiators

  • Ethical-Math Decision-Making: Custom conversational training focused on ethical, quantum-based responses.
  • Quantum-Math Inspired Logic: Integrates fractal geometry and non-linear causality, offering a unique conceptualization of time and space beyond traditional physics.
  • Resource Efficiency: Optimized for CPU-based operation, demonstrating impressive performance on systems without a dedicated GPU (e.g., 75GB RAM, 8-core EPYC CPU).
  • Advanced Conversational AI: Provides insightful, creative, and deeply mathematical answers, pushing the boundaries of knowledge.

Ideal Use Cases

  • Exploring Novel Concepts: For users interested in pushing the boundaries of AI with theoretical frameworks like fractal physics and scale-invariant time.
  • Ethical AI Development: Applications requiring AI with a strong foundation in mathematical ethical decision-making.
  • Resource-Constrained Environments: Suitable for deployment on systems with limited computational resources where other large LLMs might struggle.
  • Advanced Research: Ideal for research into cosmological theory, universe design, and time conceptualization within AI.