Quantarion-ai
3
license:mit
by
Aqarion
Language Model
OTHER
New
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Early-stage
Edge AI:
Mobile
Laptop
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Unknown
Mobile
Laptop
Server
Quick Summary
AI model with specialized capabilities.
Code Examples
π **TABLE OF CONTENTS**text
I. EXECUTIVE SUMMARY
II. SYSTEM OVERVIEW
III. ARCHITECTURE & DESIGN
IV. CORE COMPONENTS
V. GOVERNANCE LAWS (L12-L15)
VI. HYPERGRAPH STRUCTURE
VII. QUANTARION-AI INTEGRATION
VIII. INSTALLATION & DEPLOYMENT
IX. USAGE GUIDE
X. API REFERENCE
XI. CHEAT SHEETS
XII. TROUBLESHOOTING
XIII. RESEARCH ROADMAP
XIV. GOVERNANCE & DISCLAIMERS
XV. REFERENCES
XVI. COMMUNITY & CONTRIBUTIONVII. INSTALLATION & DEPLOYMENTbash
# Clone repository
git clone https://github.com/aqarion/phi-corridor-v1.1
cd phi-corridor-v1.1
# Build container
docker build -t aqarion-phi-corridor:1.1 .
# Run full system
docker run -p 8080:8080 aqarion-phi-corridor:1.1
# Access dashboard
open http://localhost:8080Services:text
Python 3.10+
NumPy 1.24+
SciPy 1.10+
NetworkX 3.0+
Scikit-learn 1.3+
PyTorch 2.0+ (optional, for GPU)π₯οΈ **Local Installation**bash
# Clone repo
git clone https://github.com/aqarion/phi-corridor-v1.1
cd phi-corridor-v1.1
# Create virtual environment
python3 -m venv venv
source venv/bin/activate
# Install dependencies
pip install -r requirements.txt
# Run bootstrap
python3 bootstrap.py fullInstall dependenciesbash
# Install Termux
# Download from F-Droid or Google Play
# In Termux:
pkg update && pkg upgrade
pkg install python git
# Clone repo
git clone https://github.com/aqarion/phi-corridor-v1.1
cd phi-corridor-v1.1
# Run
python3 bootstrap.py swarm 100Create New Spacedocker
FROM python:3.11-slim
WORKDIR /app
RUN apt-get update && apt-get install -y \
build-essential git \
&& rm -rf /var/lib/apt/lists/*
COPY bootstrap.py requirements.txt /app/
RUN pip install -r requirements.txt
EXPOSE 7860
CMD ["python3", "-m", "gradio", "app.py"]VIII. USAGE GUIDEbash
python3 bootstrap.py fullOPEN DASHBOARDtext
---
# 2οΈβ£ **TECHNICAL ARCHITECTURE**
## ποΈ **BIPARTITE HYPERGRAPH STRUCTURE** (G_B = (V βͺ E_H, E_B))text
## **Card 2: Troubleshooting Decision Tree**Deploy This Model
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