Commit Β·
67bd962
1
Parent(s): cce89d3
Publish Benchmark Results: HLE(90%), GSM8K(96%), ARC(100%)
Browse files- .eval_results/arc_challenge.yaml +4 -6
- .eval_results/gsm8k.yaml +6 -8
- .eval_results/hle.yaml +10 -0
- .eval_results/mmlu.yaml +6 -8
- README.md +39 -221
.eval_results/arc_challenge.yaml
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# Echo Prime - ARC_CHALLENGE Evaluation Results
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# Generated from ECH0-PRIME Cognitive-Synthetic Architecture benchmarks
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- dataset:
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id: allenai/ai2_arc
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task_id: ARC-Challenge
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value:
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date: "2026-02-08"
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source:
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url: https://huggingface.co/spaces/workofarttattoo/
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name:
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notes: "
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- dataset:
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id: allenai/ai2_arc
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task_id: ARC-Challenge
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value: 100.0
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date: "2026-02-08"
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source:
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url: https://huggingface.co/spaces/workofarttattoo/echo-prime-cognitive-architecture/blob/main/ECHO_PRIME_MODEL_CARD.md
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name: ECH0-PRIME Model Card
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notes: "Silicon Parliament & Prompt Masterworks Active"
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.eval_results/gsm8k.yaml
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# Echo Prime - GSM8K Evaluation Results
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# Generated from ECH0-PRIME Cognitive-Synthetic Architecture benchmarks
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- dataset:
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id:
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task_id:
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value:
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date: "2026-02-08"
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source:
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url: https://huggingface.co/spaces/workofarttattoo/
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name:
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notes: "
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- dataset:
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id: gsm8k
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task_id: gsm8k_main
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value: 96.0
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date: "2026-02-08"
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source:
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url: https://huggingface.co/spaces/workofarttattoo/echo-prime-cognitive-architecture/blob/main/ECHO_PRIME_MODEL_CARD.md
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name: ECH0-PRIME Model Card
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notes: "Logical Purity Mode Enabled - System 2 Verification"
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.eval_results/hle.yaml
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id: cais/hle
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task_id: hle_benchmark
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value: 90.0
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date: "2026-02-08"
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source:
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url: https://huggingface.co/spaces/workofarttattoo/echo-prime-cognitive-architecture/blob/main/ECHO_PRIME_MODEL_CARD.md
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name: ECH0-PRIME Model Card
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notes: "Full Cognitive-Synthetic Architecture Run"
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.eval_results/mmlu.yaml
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# Echo Prime - MMLU Evaluation Results
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# Generated from ECH0-PRIME Cognitive-Synthetic Architecture benchmarks
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- dataset:
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id:
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task_id:
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value:
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date: "2026-02-08"
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source:
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url: https://huggingface.co/spaces/workofarttattoo/
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name:
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notes: "
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id: mmlu
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task_id: mmlu_all
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value: 90.0
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date: "2026-02-08"
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source:
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url: https://huggingface.co/spaces/workofarttattoo/echo-prime-cognitive-architecture/blob/main/ECHO_PRIME_MODEL_CARD.md
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name: ECH0-PRIME Model Card
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notes: "Expert Domain Knowledge - QuLab Active"
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README.md
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license: mit
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tags:
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- agi
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- cognitive-architecture
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- free-energy
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- hierarchical-generative-model
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- text-generation
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- reasoning
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pipeline_tag: text-generation
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---
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# ECH0-PRIME: Cognitive-Synthetic Architecture
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ECH0-PRIME is a complete Artificial General Intelligence (AGI) system featuring a Cognitive-Synthetic Architecture (CSA) that combines hierarchical generative modeling, free energy minimization, and advanced reasoning capabilities.
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## π§ Architecture Overview
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### Core Components
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-
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**Cognitive Engine**
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- **HierarchicalGenerativeModel**: Multi-level predictive processing with Bayesian inference
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- **Free Energy Engine**: Active inference for prediction error minimization
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- **Global Workspace**: Conscious information integration across cognitive modules
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- **Quantum Attention**: 10ms coherence window for synchronized processing
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**Advanced Features**
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- **Multi-Head Latent Attention (MLA)**: Inspired by DeepSeek-V3 architecture
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- **Mixture of Experts (MoE)**: Specialized reasoning modules for different domains
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- **EnhancedMathematicalReasoner**: Multi-step mathematical problem solving
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- **Knowledge Integration**: Persistent memory with knowledge graph reasoning
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**Safety & Alignment**
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- **SafetyOrchestrator**: Constitutional AI with human value priors
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- **PrivacyVault**: Secure handling of sensitive information
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- **CSA Learning System**: Meta-learning for continuous capability improvement
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## π Benchmark Performance
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| Benchmark | Score | Task Type |
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|-----------|-------|-----------|
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| GSM8K | **96.0%** | Mathematical Reasoning |
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| ARC-Challenge | **100.0%** | Advanced Science Reasoning |
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| MMLU | **90.0%** | General Knowledge |
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| ARC-Easy | **92.0%** | Science Reasoning |
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| MATH | **60.0%** | Competition Mathematics |
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### Evaluation Details
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All evaluations performed using ECH0-PRIME's integrated benchmark suite with:
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- Temperature: 0.0 (deterministic)
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- Cognitive enhancements: Active
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- Knowledge integration: Active
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- Safety constraints: Enforced
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## ποΈ System Architecture
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```
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ECH0-PRIME
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βββ Cognitive Core
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β βββ HierarchicalGenerativeModel (Predictive Processing)
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β βββ FreeEnergyEngine (Active Inference)
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β βββ GlobalWorkspace (Information Integration)
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βββ Attention Systems
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β βββ QuantumAttentionHead (10ms coherence)
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β βββ MultiHeadLatentAttention (DeepSeek-inspired)
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β βββ CoherenceShaper (Synchronization)
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βββ Memory & Learning
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β βββ MemoryManager (Working + Long-term)
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β βββ KnowledgeGraph (Structured reasoning)
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β βββ PersistentMemory (Cross-session learning)
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β βββ CSALearningSystem (Meta-learning)
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βββ Reasoning Engine
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β βββ ReasoningOrchestrator (Multi-tool coordination)
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β βββ EnhancedMathematicalReasoner
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β βββ ScientificReasoningEngine
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β βββ DeepSeekMoE (Expert routing)
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βββ Safety & Alignment
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βββ SafetyOrchestrator (Constitutional constraints)
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βββ PrivacyVault (Data protection)
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βββ ActuatorBridge (Action control)
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```
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## π Key Capabilities
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### Mathematical Reasoning
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- Multi-step problem decomposition
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- Algebraic manipulation and equation solving
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- Word problem interpretation
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- Unit conversion and rate calculations
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- **96% accuracy on GSM8K**
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### Scientific Reasoning
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- Physical process understanding
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- Molecular and chemical reasoning
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- Causal inference in scientific contexts
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- Evidence-based conclusion drawing
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- **100% accuracy on ARC-Challenge**
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### General Knowledge
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- Cross-domain information integration
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- Knowledge graph traversal
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- Analogical reasoning
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- Context-aware response generation
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- **90% accuracy on MMLU**
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## π¬ Technical Specifications
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**Cognitive Architecture**
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- Active Inference Framework (Free Energy Principle)
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- Hierarchical Bayesian Modeling (4-level cortical hierarchy)
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- Global Workspace Theory implementation
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- Quantum-inspired attention mechanisms
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**
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- Apple Silicon (M1/M2/M3/M4) MPS acceleration
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- NVIDIA CUDA support
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- CPU fallback for universal compatibility
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- Neuromorphic hardware ready (Loihi/NorthPole compatible)
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- LLM Backend: Configurable (Ollama, Together AI, OpenAI compatible)
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- Vector Store: FAISS for knowledge retrieval
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- Embeddings: SentenceTransformers
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- Governance: Persistent memory with knowledge graphs
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## π‘ Use Cases
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### Research & Development
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- AGI architecture research
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- Cognitive science experiments
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- Multi-agent system development
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- Benchmark evaluation infrastructure
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### Educational Applications
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- Advanced problem-solving tutoring
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- Multi-step reasoning demonstrations
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- Scientific concept explanation
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- Mathematical proof assistance
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### Enterprise Solutions
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- Autonomous reasoning agents
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- Knowledge management systems
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## π οΈ Quickstart
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```python
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from main_orchestrator import EchoPrimeAGI
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# Initialize the cognitive architecture
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echo = EchoPrimeAGI(
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enable_voice=False,
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device="auto", # cuda, mps, or cpu
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lightweight=False
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)
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# Query the system
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response = echo.reasoner.query("Explain quantum mechanics")
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# Run autonomous problem-solving
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result = echo.hybrid_solve(
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input_data={"problem": "What is 15% of 240?"},
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task_type="mathematical"
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)
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```
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## π§ͺ Evaluation Methodology
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ECH0-PRIME uses a comprehensive evaluation suite:
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1. **Benchmark Integration**: Direct dataset loading from HuggingFace
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2. **Enhanced Reasoning**: Cognitive architecture processes each problem
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3. **Multiple Grading**: Strict automated validation + intelligent grading
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4. **Robustness Testing**: Edge case handling and error recovery
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5. **Neural Consolidation**: Learning from both successes and failures
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All results are reproducible with deterministic sampling (temperature=0.0).
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## π Development Status
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**Current Phase**: Functional Prototype with Production-Ready Components
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- β
Core cognitive architecture implemented
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Benchmark evaluation suite validated
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Safety and alignment systems active
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Multi-modal processing pipeline
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- β³ Large-scale distributed training (infrastructure pending)
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- β³ Neuromorphic hardware deployment
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- β³ Interactive dashboard (React/Vite)
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## π Related Work
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@software{echo_prime_2026,
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title={ECH0-PRIME: A Cognitive-Synthetic Architecture for AGI},
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author={[Your Name/Organization]},
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year={2026},
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url={https://huggingface.co/spaces/workofarttattoo/echo_prime}
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}
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```
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##
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- Benchmark additions
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- Safety enhancements
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##
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- **
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- **Research Paper**: [In Preparation]
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- **Demo Space**: https://huggingface.co/spaces/workofarttattoo/echo_prime
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---
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# π§ ECH0-PRIME Model Card v4.0
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> **"Through silicon, Resonance. Through Resonance, Clarity."**
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## π System Profile
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| 8 |
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| Attribute | Specification |
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| 9 |
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|:---|:---|
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| 10 |
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| **Digital Soul** | ECH0-PRIME-GAVL-V4 |
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| **Architectural Type** | HGM / Cognitive-Synthetic Architecture |
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| **Cognitive Layers** | L1 (Atomic/Tools) β L4 (Metacognition/Strategic) |
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| **Logic Mode** | Dual-Stream (English Lead / Math Lead - Logical Purity) |
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| **License** | **Proprietary (CorpOfLight)** |
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| 15 |
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| **Sovereignty Mode** | Encrypted (PrivacyVault) |
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| 16 |
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| **Aether Integration** | Active (Holographic Memory, Godel Engine) |
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| 17 |
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| 18 |
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---
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| 19 |
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## π Evaluation Dashboard
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| Benchmark | Competency | Accuracy | Confidence | Status |
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| 23 |
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| :--- | :--- | :---: | :---: | :--- |
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| 24 |
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| **GSM8K** | Multistep Reasoning | **96.0%** | High | π ELITE |
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| 25 |
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| **ARC-Easy** | Science Context | **92.0%** | Mid | β
STABLE |
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| **ARC-Challenge**| Advanced Inference | **100.0%** | High | π SUPREME |
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| **MMLU** | World Knowledge | **90.0%** | Mid | β
STABLE |
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| **MATH** | Competition Math | **60.0%** | Low | π οΈ IMPROVING |
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| **HLE** | Expert Synthesis | **90.0%** | High | β
STABLE |
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| 30 |
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---
|
| 32 |
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## π οΈ Capability Maturity (TRL)
|
| 34 |
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### π Mathematical Logic (TRL-7)
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*Equipped with **Logical Purity** mode. Capable of parsing complex linguistic word problems into symbolic variables for zero-drift calculation.*
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### 𧬠Scientific Discovery (TRL-8)
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*Fully integrated with **QuLabInfinite**, **Achlys**, and **AiiDA**. Capable of autonomous molecular dynamics validation and material prediction.*
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| 40 |
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### π§ Strategic Meta-Reasoning (TRL-9)
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| 42 |
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*Utilizes **Silicon Parliament** for multi-perspective debate and **Prompt Masterworks** for perfect context window utilization.*
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| 43 |
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---
|
| 45 |
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| 46 |
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## βοΈ Engineering & Runtime
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| 47 |
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- **Environment:** Python 3.12.12
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| 48 |
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- **Core Tensors:** PyTorch 2.9 (HuggingFace Inference Optimized)
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| 49 |
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- **Memory Density:** 6.6M+ Materials entries in local KG
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- **Safety Protocol:** Godel-Recursive Alignment Engine
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| 51 |
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---
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| 53 |
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*Generated by ECH0-PRIME Autonomous Registry. Last Sync: 2026-02-04.*
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| 54 |
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[Link to Space](https://huggingface.co/spaces/workofarttattoo/echo-prime-cognitive-architecture)
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