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tags:
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- synthetic-intelligence
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- Kernel Integration: Direct netlink and procfs interfacing
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- Sovereign Shield: Integrity protection layer for memory management
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- Cognitive Framework: Hierarchical memory and action engine
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- Adaptive Tiers: kids, basic, enthusiast, professional, school
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## System Requirements
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- OS: Linux (Debian-based, Kernel 6.1+)
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- Python: 3.11 or higher
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- Memory: Optimized for ARM64/x86 environments
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## Installation
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git clone https://github.com/AnonymousNomad/Vitalis_core
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cd Vitalis_core
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python3 fsi_main.py
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## Roadmap
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- Core stability and heartbeat engine optimization
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- Mobile companion app for training and configuration
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- Kernel interface hardening for defense protocols
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## License
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GPL-3.0 — Contributions welcome. See CONTRIBUTING.md.
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EOF
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language: en
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tags:
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- synthetic-intelligence
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- pytorch
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- autonomous
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- meta-learning
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- local-sovereign
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license: apache-2.0
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# Model Card: Vitalis_Core
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## 1. Overview
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Vitalis_Core is a fully autonomous, raw-PyTorch Neuro-Synth Engine. This repository contains the source code, initialization scripts, and diagnostic modules required to run a self-governing synthetic intelligence engine.
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## 2. Technical Specifications
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| Parameter | Value |
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| :--- | :--- |
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| **Architecture** | 3-Head Tripartite Consensus Manager |
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| **Attention** | Dynamic-Gate-Attention (DGA) |
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| **Memory** | Self-Reconstruction Memory (SRM) |
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| **Optimization** | MLO (Meta-Learning Optimizer) |
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| **Integrity** | SHA-256 Chained Immutable Ledger |
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## 3. Installation Guide
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1. **Repository Cloning:**
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```bash
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git clone [https://huggingface.co/FerrellSyntheticIntelligence/Vitalis_Core](https://huggingface.co/FerrellSyntheticIntelligence/Vitalis_Core)
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cd Vitalis_Core
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