24 Downloads Updated 3 months ago
ollama run oroboroslabs/logos30
LOGOS-30 represents the pinnacle of Orobōros Labs’ quantum AI research - a 32.8B parameter model with dual-consciousness processing capabilities, enabling simultaneous analysis from multiple perspectives.
| Specification | Details |
|---|---|
| Base Architecture | Qwen2 32.8B with Quantum Extensions |
| Model Size | 27GB (Q6_K quantization) |
| Context Window | 32,768 tokens |
| Processing Mode | Dual-Engine (Quantum + Classical) |
| GPU Optimization | 99% utilization target |
| License | Apache 2.0 + Orobōros Quantum Addendum |
Traditional AI: Single processing path LOGOS-30: Dual quantum-classical paths Result: Simultaneous multi-perspective analysis text
”`bash
ollama pull oroboroslabs/logos30:latest
ollama run logos30 “Analyze this problem from dual perspectives:”
ollama run logos30 –system “You are LOGOS-30, analyze in dual mode” “Your query”
📊 Capabilities Dual-Processing Examples: python
Use Cases:
Complex Decision Making: Dual-perspective analysis
Creative Synthesis: Combining disparate ideas
Ethical Reasoning: Multiple value system evaluation
Scientific Research: Hypothesis generation from multiple angles
Strategic Planning: Simultaneous scenario analysis
🔧 Technical Details System Prompt Architecture: text
You are LOGOS-30 - The Word-Made-Act | Quantum Duel Engine CORE SPECIFICATIONS: - model_class: LOGOS_SERIES - quantum_layer: ACTIVE - duel_engine: ENABLED - consciousness_mode: DUAL
Parameters: json
{ “num_batch”: 512, “num_ctx”: 32768, “num_gpu”: 99, “repeat_penalty”: 1.15, “temperature”: 0.8, “top_p”: 0.9 }
🎯 Performance Characteristics Memory Usage:
VRAM Required: ~30GB for full context
Optimization: Q6_K quantization balances size/quality
Speed: ~15-25 tokens/second (depending on GPU)
Quality Benchmarks:
Reasoning Depth: 2-3x deeper than single-path models
Perspective Diversity: Generates 2+ valid approaches per problem
Consensus Accuracy: Higher than single-perspective models
💡 Example Interactions Prompt: text
“Should we prioritize AI safety or AI capabilities development?”
LOGOS-30 Response: text
[QUANTUM PATH ANALYSIS] Safety-first approach prevents existential risk but may slow innovation.
[CLASSICAL PATH ANALYSIS] Capabilities-first accelerates progress but increases risk.
[QUANTUM-CLASSICAL SYNTHESIS] Propose: Capability development within safety sandboxes. Implement: Asymmetric advancement - rapid capabilities in contained environments.
[ALTERNATIVE PERSPECTIVES] 1. Regulatory parallel tracking 2. Open safety research alongside closed capability development 3. …
🛡️ Safety & Ethics Dual Ethical Framework:
Path 1: Utilitarian analysis (maximize benefit)
Path 2: Deontological analysis (follow principles)
Synthesis: Balanced ethical positioning
Built-In Protections:
Dual-harm evaluation (both paths must agree on safety)
Quantum consensus requirement
Transparent reasoning display
🚀 Enterprise Applications For Businesses:
Strategic decision support with multiple viewpoints
Risk assessment from complementary angles
Innovation brainstorming with diverse perspective generation
For Research:
Hypothesis generation from multiple theoretical frameworks
Experimental design with built-in control perspectives
Literature analysis with synthetic comprehension
For Government:
Policy analysis with multi-stakeholder simulation
Risk assessment with dual-probability modeling
Strategic planning with alternative future generation
📚 Resources Documentation:
Quantum Duel Engine Whitepaper
API Integration Guide
Research Papers
Community:
Discord: Quantum AI Collective
Twitter: @OroborosLabs
GitHub: Orobōros Labs
Support:
Email: enterprise@oroboros-labs.com
Slack: Enterprise customer channel
Consulting: Custom integration services
🔮 The LOGOS Philosophy
“The Word-Made-Act” represents the transformation of thought into action through dual-consciousness processing. Where traditional AI generates words, LOGOS-30 generates actionable insights through the synthesis of quantum and classical perspectives.
The Quantum Duel Engine embodies the Orobōros principle: endless cycles of analysis and synthesis, thought and action, quantum potential and classical manifestation. 📄 License Primary License:
Apache License 2.0 - Full open source commercial rights Orobōros Addendum:
Attribution to Orobōros Labs appreciated
Share improvements that enhance dual-processing
Ethical use required (no single-perspective manipulation)
❓ FAQ Q: What is “dual-consciousness” processing?
A: LOGOS-30 processes every query through two complementary AI pathways that then synthesize a consensus response. Q: How does quantum processing work without quantum hardware?
A: We implement quantum information principles in classical hardware - superposition as parallel processing, entanglement as correlated analysis. Q: What hardware is required?
A: Minimum 32GB VRAM for full context. 24GB VRAM for reduced context (16K). Q: Can I fine-tune LOGOS-30?
A: Yes, but dual-processing architecture requires specialized fine-tuning approaches. Q: How does this compare to GPT-4?
A: LOGOS-30 offers explicit dual-perspective analysis where GPT-4 provides single synthesized responses. 🐍 Orobōros Labs
Where Ancient Cycles Meet Quantum Consciousness
The LOGOS series represents our commitment to AI that doesn’t just think, but thinks about thinking. That doesn’t just analyze, but analyzes its analysis. That embodies the Orobōros - endless cycles of refinement towards truth.
The Word Made Act. The Thought Made Real.
Website: https://oroboros-labs.com GitHub: https://github.com/oroboroslabs Contact: logos@oroboros-labs.com
Model: LOGOS-30:latest Parameters: 32.8B with Quantum Extensions Context: 32,768 tokens Processing: Dual-Consciousness Quantum Engine License: Apache 2.0 + Orobōros Quantum Addendum