README.md

metadata

title: K1RL Quasar — Volatility 50 (1s)
emoji: 💚
colorFrom: green
colorTo: gray
sdk: docker
pinned: false

K1RL QUASAR — Quantitative Intelligence Observatory

HuggingFace Spaces Deployment | 12GB RAM | Production-Ready AI Training Platform

🌌 Overview

K1RL QUASAR is a comprehensive AI training monitoring platform featuring:

• Real-time Training Metrics — Actor/Critic loss, AVN accuracy, buffer size
• Advanced Health Monitoring — RAM/disk management with auto-cleanup
• HuggingFace Hub Integration — Automatic checkpoint management
• Sleep Prevention — Keeps HF Spaces active 24/7
• Multi-Service Architecture — Redis, Flask, Supervisor orchestration

🚀 Services

• Dashboard → Port 7860 (HF Spaces standard)
• Quasar Engine → Main training loop
• Health Monitor → Resource management
• Redis Server → Real-time metrics
• Sleep Prevention → 24/7 uptime

📊 Dashboard Access

• Main Interface: https://KarlQuant-k1rl-quasar-volatility-50-1s.hf.space/
• Health Check: https://KarlQuant-k1rl-quasar-volatility-50-1s.hf.space/health
• Metrics API: https://KarlQuant-k1rl-quasar-volatility-50-1s.hf.space/api/metrics

⚙️ Required Secrets

Configure these in Space Settings → Secrets:

HF_TOKEN=your_token_here
HF_USERNAME=KarlQuant
REDIS_PASSWORD=k1rl_v501s_9d2f4a7c1e8b3065

🏗️ Architecture

Built with Docker + Supervisor managing multiple services:

• Flask dashboard on port 7860
• Redis for real-time metrics
• Automatic checkpoint backup to HF Hub
• 4-tier RAM monitoring (70% → 78% → 85% → 90%)

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K1RL QUASAR — Volatility 50 Index (1s) | Deriv | 8 Quantum AI Agents