๏ฟฝ Mamba Encoder Swarm v2.0 - Novel Architecture
๐ This is a test language model using a custom built MAMBA architecture Features intelligent Mamba encoder swarm architecture with advanced domain routing, comprehensive performance analytics, and multi-tier quality protection. Currently optimized for CPU with GPU Mamba encoders ready for activation.
๐ MAMBA ARCHITECTURE (CPU Mode): ๐ข CPU Optimized - Mamba Encoders will be active with GPU
Automatically search web for current information when needed
๏ฟฝ Mamba Encoder Swarm - Hybrid Intelligence Dashboard
๐ Hybrid Architecture Status: โ Local AI + Web Intelligence Active
- Intelligence Level: Revolutionary Hybrid Multi-Domain AI
- Processing Mode: Mamba Encoder Swarm + Real-time Web Search
- Current Configuration: CPU-Optimized AI + Internet-Connected Intelligence
- Activation Status: Hybrid mode active, Mamba encoders ready for GPU
๐ Hybrid Intelligence Features:
- Web Search Engine: โ DuckDuckGo + Wikipedia Integration
- Smart Query Detection: โ Automatic current info detection
- Source Integration: โ Real-time fact checking and validation
- Cache System: โ Intelligent result caching for performance
๐ป Hardware Configuration:
- Processing Unit: CPU Only
- System RAM: 123.8GB (93.1% used)
- Available RAM: 8.6GB
- Network: โ Internet connectivity for hybrid intelligence
- Mamba Readiness: ๐ก CPU Mode - GPU Needed for Mamba
๐ Hybrid Performance Analytics:
- Total Requests: 0
- Success Rate: N/A
- Quality Rate: N/A
- Processing Speed: N/A tokens/sec
- Model Adaptations: 0
- Quality Filters Activated: 0
๐ Web Intelligence Analytics:
- Total Searches: 0
- Avg Search Time: N/A
- Search Success Rate: Ready
- Cache Efficiency: 0 results cached
- Popular Domains: Initializing
๐ฏ Adaptive Domain Intelligence:
- Supported Domains: 8 specialized domains with adaptive learning
- Encoder Pool: 100 virtual encoders with dynamic routing
- Quality Protection: Multi-layer intelligence validation + web fact-checking
- Learning Systems: Revolutionary 4-layer adaptive learning + web pattern recognition
๐ Hybrid Capabilities:
- Local AI Mode: High-performance CPU processing with GPT-2 models
- Web Intelligence: Real-time information retrieval and integration
- Smart Routing: Automatic detection of queries needing current information
- Source Attribution: Transparent web source integration and validation
- Hybrid Fallbacks: Enhanced responses combining local knowledge + web data
๐ Mamba Encoder Status:
- Current Mode: CPU Alternative with hybrid web intelligence
- GPU Readiness: Ready for Mamba activation (requires uncommenting mamba_ssm)
- Architecture: Full Mamba swarm intelligence preserved + web enhancement
| ๐ Enter Your Query | ๐ Max Response Length | ๐ก๏ธ Creativity Level | ๐ฏ Focus Level (Top-p) | ๐ข Active Encoders | ๐ค Model Size Selection | ๐ Show Intelligence Analysis |
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๐ Hybrid Intelligence System Features
- ๐ Revolutionary Web Integration - Real-time search with DuckDuckGo + Wikipedia
- ๐ง Smart Query Detection - Automatically identifies when current information is needed
- ๐ฏ Elite Domain Routing - 7 specialized domains with confidence-based encoder selection
- โก Advanced State-Space Processing - Intelligent encoder swarm architecture + web intelligence
- ๐ก๏ธ Enhanced Quality Assurance - Multi-layer validation + web fact-checking
- ๐ Comprehensive Analytics - Real-time performance + search metrics monitoring
- ๐ Hybrid Fallbacks - Local knowledge enhanced with real-time web data
- ๐๏ธ Intelligent Control - Adaptive model switching + search optimization
- ๐ Adaptive Learning - 4-layer machine learning + web pattern recognition
- ๏ฟฝ Mamba Ready - Full architecture preserved, ready for GPU activation
๐ Hybrid Intelligence Mode: Combining the best of local AI processing with real-time web search capabilities for unprecedented accuracy and current information access.
Current Status: ๐ฅ๏ธ CPU Mode Active | ๐ Mamba Encoders Ready for GPU Activation | โก Instant Hardware Detection