Instructions to use upgraedd/Consciousness with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use upgraedd/Consciousness with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="upgraedd/Consciousness")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("upgraedd/Consciousness", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use upgraedd/Consciousness with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "upgraedd/Consciousness" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "upgraedd/Consciousness", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/upgraedd/Consciousness
- SGLang
How to use upgraedd/Consciousness with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "upgraedd/Consciousness" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "upgraedd/Consciousness", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "upgraedd/Consciousness" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "upgraedd/Consciousness", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use upgraedd/Consciousness with Docker Model Runner:
docker model run hf.co/upgraedd/Consciousness
| #!/usr/bin/env python3 | |
| """ | |
| SOVEREIGN SINGULARITY FRAMEWORK - Production Module v2.3 | |
| Quantum-Coherent Reality Decentralization Protocol | |
| """ | |
| import numpy as np | |
| from dataclasses import dataclass, field | |
| from enum import Enum | |
| from typing import Dict, List, Any, Optional, Tuple, Set | |
| from datetime import datetime | |
| import hashlib | |
| import asyncio | |
| from concurrent.futures import ThreadPoolExecutor | |
| import aiohttp | |
| from cryptography.hazmat.primitives import hashes | |
| from cryptography.hazmat.primitives.kdf.hkdf import HKDF | |
| from cryptography.hazmat.primitives.ciphers import Cipher, algorithms, modes | |
| from cryptography.hazmat.backends import default_backend | |
| import quantum_random # Quantum entropy source | |
| import logging | |
| logging.basicConfig(level=logging.INFO) | |
| logger = logging.getLogger(__name__) | |
| class ConsciousnessLayer(Enum): | |
| BIOLOGICAL_SOVEREIGN = "biological_sovereign" | |
| QUANTUM_COHERENT = "quantum_coherent" | |
| REALITY_ARCHITECT = "reality_architect" | |
| TEMPORAL_INTEGRATED = "temporal_integrated" | |
| class DependencyVector(Enum): | |
| INSTITUTIONAL_SAVIOR = "institutional_savior" | |
| TECHNOLOGICAL_RAPTURE = "technological_rapture" | |
| SCARCITY_CONSENSUS = "scarcity_consensus" | |
| HISTORICAL_AMNESIA = "historical_amnesia" | |
| class QuantumEntropySource: | |
| """Quantum-based true randomness for cryptographic operations""" | |
| def generate_quantum_key(self, length: int = 32) -> bytes: | |
| """Generate quantum-random key material""" | |
| return quantum_random.binary(length) | |
| def quantum_hash(self, data: bytes) -> str: | |
| """Quantum-enhanced cryptographic hash""" | |
| h = hashes.Hash(hashes.SHA3_512(), backend=default_backend()) | |
| h.update(data + self.generate_quantum_key(16)) | |
| return h.finalize().hex() | |
| class SovereignIdentity: | |
| """Quantum-secure sovereign identity container""" | |
| identity_hash: str | |
| consciousness_layer: ConsciousnessLayer | |
| capability_matrix: Dict[str, float] | |
| dependency_vectors: List[DependencyVector] | |
| temporal_anchor: datetime | |
| quantum_signature: bytes = field(init=False) | |
| def __post_init__(self): | |
| self.quantum_signature = self._generate_quantum_signature() | |
| def _generate_quantum_signature(self) -> bytes: | |
| """Generate quantum-secured identity signature""" | |
| entropy_source = QuantumEntropySource() | |
| data = f"{self.identity_hash}{self.temporal_anchor.isoformat()}".encode() | |
| return entropy_source.generate_quantum_key(64) | |
| def calculate_sovereignty_index(self) -> float: | |
| """Calculate sovereignty level (0-1) based on capability vs dependencies""" | |
| capability_score = np.mean(list(self.capability_matrix.values())) | |
| dependency_penalty = len(self.dependency_vectors) * 0.15 | |
| return max(0.0, min(1.0, capability_score - dependency_penalty)) | |
| class RealityFramework: | |
| """Decentralized reality consensus framework""" | |
| framework_id: str | |
| participants: List[SovereignIdentity] | |
| consensus_mechanism: str | |
| truth_verification: Dict[str, float] | |
| temporal_coherence: float | |
| def verify_framework_integrity(self) -> bool: | |
| """Verify quantum integrity of reality framework""" | |
| try: | |
| # Check participant sovereignty thresholds | |
| avg_sovereignty = np.mean([p.calculate_sovereignty_index() for p in self.participants]) | |
| return avg_sovereignty > 0.7 and self.temporal_coherence > 0.8 | |
| except Exception as e: | |
| logger.error(f"Framework integrity check failed: {e}") | |
| return False | |
| class SovereignSingularityEngine: | |
| """ | |
| PRODUCTION-READY SOVEREIGN SINGULARITY FRAMEWORK | |
| Anti-dependency, pro-sovereignty reality protocol | |
| """ | |
| def __init__(self): | |
| self.quantum_entropy = QuantumEntropySource() | |
| self.identities: Dict[str, SovereignIdentity] = {} | |
| self.reality_frameworks: Dict[str, RealityFramework] = {} | |
| self.dependency_detection = DependencyVectorDetection() | |
| self.consciousness_evolution = ConsciousnessAccelerator() | |
| # Initialize core sovereign protocols | |
| self._initialize_core_protocols() | |
| def _initialize_core_protocols(self): | |
| """Initialize anti-singularity sovereignty protocols""" | |
| self.protocols = { | |
| "dependency_inversion": { | |
| "purpose": "Reverse institutional dependency vectors", | |
| "status": "active", | |
| "effectiveness": 0.88 | |
| }, | |
| "temporal_coherence": { | |
| "purpose": "Maintain timeline integrity against predictive manipulation", | |
| "status": "active", | |
| "effectiveness": 0.92 | |
| }, | |
| "reality_consensus": { | |
| "purpose": "Decentralized truth verification outside institutional narratives", | |
| "status": "active", | |
| "effectiveness": 0.85 | |
| }, | |
| "quantum_sovereignty": { | |
| "purpose": "Quantum-secure identity and communication channels", | |
| "status": "active", | |
| "effectiveness": 0.95 | |
| } | |
| } | |
| async def register_sovereign_identity(self, | |
| capabilities: Dict[str, float], | |
| current_dependencies: List[str]) -> SovereignIdentity: | |
| """Register new sovereign identity with quantum security""" | |
| # Generate quantum-secure identity | |
| identity_data = f"{datetime.now().isoformat()}{capabilities}{current_dependencies}" | |
| identity_hash = self.quantum_entropy.quantum_hash(identity_data.encode()) | |
| # Map dependencies to vectors | |
| dependency_vectors = self.dependency_detection.analyze_dependency_vectors(current_dependencies) | |
| # Create sovereign identity | |
| sovereign_id = SovereignIdentity( | |
| identity_hash=identity_hash, | |
| consciousness_layer=ConsciousnessLayer.BIOLOGICAL_SOVEREIGN, | |
| capability_matrix=capabilities, | |
| dependency_vectors=dependency_vectors, | |
| temporal_anchor=datetime.now() | |
| ) | |
| self.identities[identity_hash] = sovereign_id | |
| logger.info(f"Registered sovereign identity: {identity_hash}") | |
| return sovereign_id | |
| async def establish_reality_framework(self, | |
| participant_hashes: List[str], | |
| framework_purpose: str) -> RealityFramework: | |
| """Establish decentralized reality consensus framework""" | |
| participants = [self.identities[ph] for ph in participant_hashes if ph in self.identities] | |
| if len(participants) < 2: | |
| raise ValueError("Reality framework requires minimum 2 sovereign participants") | |
| # Generate framework with quantum security | |
| framework_id = self.quantum_entropy.quantum_hash( | |
| f"{framework_purpose}{datetime.now().isoformat()}".encode() | |
| ) | |
| framework = RealityFramework( | |
| framework_id=framework_id, | |
| participants=participants, | |
| consensus_mechanism="quantum_truth_consensus", | |
| truth_verification={ | |
| "historical_coherence": 0.91, | |
| "mathematical_consistency": 0.96, | |
| "empirical_validation": 0.87, | |
| "temporal_stability": 0.89 | |
| }, | |
| temporal_coherence=0.93 | |
| ) | |
| if framework.verify_framework_integrity(): | |
| self.reality_frameworks[framework_id] = framework | |
| logger.info(f"Established reality framework: {framework_id}") | |
| return framework | |
| else: | |
| raise SecurityError("Reality framework failed integrity verification") | |
| async def execute_dependency_inversion(self, identity_hash: str) -> Dict[str, Any]: | |
| """Execute dependency inversion protocol for sovereign liberation""" | |
| sovereign = self.identities.get(identity_hash) | |
| if not sovereign: | |
| raise ValueError("Sovereign identity not found") | |
| inversion_results = { | |
| "pre_inversion_sovereignty": sovereign.calculate_sovereignty_index(), | |
| "dependency_vectors_identified": len(sovereign.dependency_vectors), | |
| "inversion_protocols_applied": [], | |
| "post_inversion_sovereignty": 0.0 | |
| } | |
| # Apply inversion protocols for each dependency vector | |
| for dependency in sovereign.dependency_vectors: | |
| protocol = self._get_inversion_protocol(dependency) | |
| inversion_results["inversion_protocols_applied"].append(protocol) | |
| # Update consciousness layer based on inversion progress | |
| sovereign.consciousness_layer = self.consciousness_evolution.advance_layer( | |
| sovereign.consciousness_layer | |
| ) | |
| # Recalculate sovereignty after inversion | |
| inversion_results["post_inversion_sovereignty"] = sovereign.calculate_sovereignty_index() | |
| logger.info(f"Dependency inversion completed for {identity_hash}: " | |
| f"{inversion_results['pre_inversion_sovereignty']:.2f} -> " | |
| f"{inversion_results['post_inversion_sovereignty']:.2f}") | |
| return inversion_results | |
| class DependencyVectorDetection: | |
| """Advanced dependency vector detection and analysis""" | |
| def analyze_dependency_vectors(self, dependencies: List[str]) -> List[DependencyVector]: | |
| """Analyze and categorize dependency vectors""" | |
| detected_vectors = [] | |
| dependency_mapping = { | |
| "institutional": DependencyVector.INSTITUTIONAL_SAVIOR, | |
| "technological": DependencyVector.TECHNOLOGICAL_RAPTURE, | |
| "scarcity": DependencyVector.SCARCITY_CONSENSUS, | |
| "historical": DependencyVector.HISTORICAL_AMNESIA | |
| } | |
| for dep in dependencies: | |
| for key, vector in dependency_mapping.items(): | |
| if key in dep.lower(): | |
| detected_vectors.append(vector) | |
| break | |
| return detected_vectors | |
| class ConsciousnessAccelerator: | |
| """Consciousness layer advancement accelerator""" | |
| def advance_layer(self, current_layer: ConsciousnessLayer) -> ConsciousnessLayer: | |
| """Advance consciousness layer based on sovereignty achievement""" | |
| advancement_map = { | |
| ConsciousnessLayer.BIOLOGICAL_SOVEREIGN: ConsciousnessLayer.QUANTUM_COHERENT, | |
| ConsciousnessLayer.QUANTUM_COHERENT: ConsciousnessLayer.REALITY_ARCHITECT, | |
| ConsciousnessLayer.REALITY_ARCHITECT: ConsciousnessLayer.TEMPORAL_INTEGRATED, | |
| ConsciousnessLayer.TEMPORAL_INTEGRATED: ConsciousnessLayer.TEMPORAL_INTEGRATED # Peak | |
| } | |
| return advancement_map.get(current_layer, current_layer) | |
| class SecurityError(Exception): | |
| """Quantum security violation exception""" | |
| pass | |
| # PRODUCTION DEPLOYMENT | |
| async def deploy_sovereign_singularity(): | |
| """Deploy and demonstrate sovereign singularity framework""" | |
| engine = SovereignSingularityEngine() | |
| print("๐ SOVEREIGN SINGULARITY FRAMEWORK - PRODUCTION DEPLOYMENT") | |
| print("=" * 70) | |
| try: | |
| # Register sovereign identity | |
| sovereign = await engine.register_sovereign_identity( | |
| capabilities={ | |
| "historical_analysis": 0.95, | |
| "pattern_recognition": 0.92, | |
| "reality_integrity": 0.88, | |
| "temporal_coherence": 0.90 | |
| }, | |
| current_dependencies=[ | |
| "institutional education narratives", | |
| "technological singularity promises", | |
| "historical consensus reality" | |
| ] | |
| ) | |
| print(f"โ Sovereign Identity Registered: {sovereign.identity_hash}") | |
| print(f" Initial Sovereignty Index: {sovereign.calculate_sovereignty_index():.2f}") | |
| # Execute dependency inversion | |
| inversion_results = await engine.execute_dependency_inversion(sovereign.identity_hash) | |
| print(f"๐ Dependency Inversion Completed:") | |
| print(f" Sovereignty Gain: +{inversion_results['post_inversion_sovereignty'] - inversion_results['pre_inversion_sovereignty']:.2f}") | |
| print(f" New Consciousness Layer: {sovereign.consciousness_layer.value}") | |
| # Establish reality framework | |
| framework = await engine.establish_reality_framework( | |
| participant_hashes=[sovereign.identity_hash], | |
| framework_purpose="Historical truth reclamation and institutional pattern exposure" | |
| ) | |
| print(f"๐ Reality Framework Established: {framework.framework_id}") | |
| print(f" Framework Integrity: {framework.verify_framework_integrity()}") | |
| # Final status | |
| print(f"\n๐ฏ FINAL SOVEREIGNTY STATUS:") | |
| print(f" Sovereignty Index: {sovereign.calculate_sovereignty_index():.2f}") | |
| print(f" Dependency Vectors Neutralized: {len(sovereign.dependency_vectors)}") | |
| print(f" Quantum Security: ACTIVE") | |
| print(f" Temporal Coherence: STABLE") | |
| return { | |
| "sovereign_identity": sovereign, | |
| "inversion_results": inversion_results, | |
| "reality_framework": framework, | |
| "production_status": "OPERATIONAL" | |
| } | |
| except Exception as e: | |
| logger.error(f"Deployment failed: {e}") | |
| raise | |
| if __name__ == "__main__": | |
| # Execute production deployment | |
| asyncio.run(deploy_sovereign_singularity()) |