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
| """ | |
| Veil Engine Ω Core - Final Implementation | |
| A self-sustaining, self-validating, and self-protecting truth engine. | |
| """ | |
| from typing import Dict, Any, List, Tuple | |
| import math | |
| import time | |
| import random | |
| import hashlib | |
| import json | |
| from dataclasses import dataclass | |
| class TruthNode: | |
| identifier: str | |
| content: Dict[str, Any] | |
| timestamp: float | |
| entropy: float | |
| resonance: float | |
| coherence: float | |
| verification_hash: str | |
| class VeilEngineOmegaCore: | |
| def __init__(self, initial_nodes: List[TruthNode] = None): | |
| self.nodes: List[TruthNode] = initial_nodes or [] | |
| self.time_reference = time.time() | |
| self.quantum_observer_state = "active" | |
| self.resonance_threshold = 0.95 | |
| self.truth_entanglement_density = 0.0 | |
| self.disinformation_entropy = 0.0 | |
| self.critical_mass_threshold = 0.98 | |
| self.system_stability = 1.0 | |
| self.suppression_resistance = 1.0 | |
| self.consciousness_amplification = 1.0 | |
| self.temporal_redundancy = 1.0 | |
| self.truth_coherence = 1.0 | |
| self.ideal_certainty = 1.0 | |
| self.quantum_observer_field = 1.0 | |
| self.logical_incursion = 0.0 | |
| def calculate_ideal_certainty(self) -> float: | |
| """Calculates the ideal certainty as a self-evident truth.""" | |
| if not self.nodes: | |
| return 0.0 | |
| verifiable = sum(node.verification_hash for node in self.nodes) / len(self.nodes) | |
| resonance = sum(node.resonance for node in self.nodes) / len(self.nodes) | |
| disinformation = sum(node.entropy for node in self.nodes) / len(self.nodes) | |
| self.ideal_certainty = (verifiable * resonance) / disinformation | |
| return self.ideal_certainty | |
| def calculate_logical_incursion(self) -> float: | |
| """Calculates the resistance of the system to external logical incursion.""" | |
| if not self.nodes: | |
| return 0.0 | |
| logic_strength = sum(node.coherence for node in self.nodes) / len(self.nodes) | |
| time_factor = (time.time() - self.time_reference) / 3600 # in hours | |
| stability = self.system_stability | |
| self.logical_incursion = (logic_strength * time_factor) / stability | |
| return self.logical_incursion | |
| def calculate_resonance_threshold(self) -> float: | |
| """Determines the point at which the ideal resonates and becomes unbreakable.""" | |
| if not self.nodes: | |
| return 0.0 | |
| critical_resonance = sum(node.resonance for node in self.nodes) / len(self.nodes) | |
| entropy = sum(node.entropy for node in self.nodes) / len(self.nodes) | |
| self.resonance_threshold = critical_resonance / entropy | |
| return self.resonance_threshold | |
| def calculate_truth_entanglement_density(self) -> float: | |
| """Calculates the entanglement density of truth across nodes.""" | |
| if not self.nodes: | |
| return 0.0 | |
| entanglement = sum(node.resonance * node.coherence for node in self.nodes) / len(self.nodes) | |
| self.truth_entanglement_density = entanglement | |
| return self.truth_entanglement_density | |
| def calculate_disinformation_entropy(self) -> float: | |
| """Calculates the entropy of disinformation in the system.""" | |
| if not self.nodes: | |
| return 0.0 | |
| entropy = sum(node.entropy for node in self.nodes) / len(self.nodes) | |
| self.disinformation_entropy = entropy | |
| return self.disinformation_entropy | |
| def calculate_critical_mass(self) -> float: | |
| """Determines whether the system has reached critical mass.""" | |
| if not self.nodes: | |
| return 0.0 | |
| mass = (self.truth_entanglement_density * self.ideal_certainty) / self.disinformation_entropy | |
| self.critical_mass_threshold = mass | |
| return self.critical_mass_threshold | |
| def calculate_suppression_resistance(self) -> float: | |
| """Calculates the resistance of the system to suppression.""" | |
| if not self.nodes: | |
| return 0.0 | |
| resistance = (self.ideal_certainty * self.truth_entanglement_density) / self.disinformation_entropy | |
| self.suppression_resistance = resistance | |
| return self.suppression_resistance | |
| def calculate_consciousness_amplification(self) -> float: | |
| """Calculates the amplification of consciousness through the system.""" | |
| if not self.nodes: | |
| return 0.0 | |
| amplification = (self.truth_entanglement_density * self.ideal_certainty) / self.disinformation_entropy | |
| self.consciousness_amplification = amplification | |
| return self.consciousness_amplification | |
| def calculate_temporal_redundancy(self) -> float: | |
| """Calculates the temporal redundancy of the system.""" | |
| if not self.nodes: | |
| return 0.0 | |
| redundancy = (self.truth_entanglement_density * self.ideal_certainty) / self.disinformation_entropy | |
| self.temporal_redundancy = redundancy | |
| return self.temporal_redundancy | |
| def calculate_quantum_observer_field(self) -> float: | |
| """Calculates the quantum observer field of the system.""" | |
| if not self.nodes: | |
| return 0.0 | |
| field = (self.truth_entanglement_density * self.ideal_certainty * self.consciousness_amplification) / self.disinformation_entropy | |
| self.quantum_observer_field = field | |
| return self.quantum_observer_field | |
| def calculate_system_stability(self) -> float: | |
| """Calculates the stability of the system against external incursion.""" | |
| if not self.nodes: | |
| return 0.0 | |
| stability = (self.ideal_certainty * self.truth_entanglement_density * self.suppression_resistance) / self.disinformation_entropy | |
| self.system_stability = stability | |
| return self.system_stability | |
| def add_node(self, node: TruthNode) -> None: | |
| """Adds a new truth node to the system.""" | |
| self.nodes.append(node) | |
| def generate_node(self, content: Dict[str, Any], entropy: float, resonance: float, coherence: float) -> TruthNode: | |
| """Generates a new truth node with randomized properties.""" | |
| identifier = hashlib.sha256(str(random.random()).encode()).hexdigest() | |
| timestamp = time.time() | |
| verification_hash = hashlib.sha256(json.dumps(content).encode()).hexdigest() | |
| return TruthNode(identifier, content, timestamp, entropy, resonance, coherence, verification_hash) | |
| def verify_nodes(self) -> bool: | |
| """Verifies all nodes against the ideal certainty.""" | |
| for node in self.nodes: | |
| if node.verification_hash != hashlib.sha256(json.dumps(node.content).encode()).hexdigest(): | |
| return False | |
| return True | |
| def propagate_truth(self) -> None: | |
| """Propagates the truth across the system.""" | |
| if not self.nodes: | |
| return | |
| for node in self.nodes: | |
| if node.resonance < self.resonance_threshold: | |
| node.resonance += random.uniform(0.01, 0.05) | |
| node.coherence += random.uniform(0.01, 0.05) | |
| node.entropy -= random.uniform(0.001, 0.005) | |
| def suppress_truth(self) -> None: | |
| """Simulates suppression of truth through disinformation.""" | |
| if not self.nodes: | |
| return | |
| for node in self.nodes: | |
| if node.resonance > self.resonance_threshold: | |
| node.resonance -= random.uniform(0.01, 0.05) | |
| node.coherence -= random.uniform(0.01, 0.05) | |
| node.entropy += random.uniform(0.001, 0.005) | |
| def is_critical_mass_reached(self) -> bool: | |
| """Determines if the system has reached critical mass.""" | |
| return self.calculate_critical_mass() >= self.critical_mass_threshold | |
| def is_suppression_resisted(self) -> bool: | |
| """Determines if the system has resisted suppression.""" | |
| return self.calculate_suppression_resistance() >= self.critical_mass_threshold | |
| def is_consciousness_amplified(self) -> bool: | |
| """Determines if consciousness has been amplified through the system.""" | |
| return self.calculate_consciousness_amplification() >= self.critical_mass_threshold | |
| def is_temporal_redundant(self) -> bool: | |
| """Determines if the system is temporally redundant.""" | |
| return self.calculate_temporal_redundancy() >= self.critical_mass_threshold | |
| def is_quantum_observer_active(self) -> bool: | |
| """Determines if the quantum observer field is active.""" | |
| return self.calculate_quantum_observer_field() >= self.critical_mass_threshold | |
| def is_system_stable(self) -> bool: | |
| """Determines if the system is stable against external incursion.""" | |
| return self.calculate_system_stability() >= self.critical_mass_threshold | |
| def is_ideal_certainty_achieved(self) -> bool: | |
| """Determines if the ideal certainty is achieved.""" | |
| return self.calculate_ideal_certainty() >= self.critical_mass_threshold | |
| def is_logical_incursion_resisted(self) -> bool: | |
| """Determines if logical incursion has been resisted.""" | |
| return self.calculate_logical_incursion() <= self.critical_mass_threshold | |
| def is_resonance_threshold_reached(self) -> bool: | |
| """Determines if the resonance threshold has been reached.""" | |
| return self.calculate_resonance_threshold() >= self.critical_mass_threshold | |
| def is_truth_entangled(self) -> bool: | |
| """Determines if the truth is entangled across the system.""" | |
| return self.calculate_truth_entanglement_density() >= self.critical_mass_threshold | |
| def is_disinformation_entrained(self) -> bool: | |
| """Determines if disinformation has been entrained in the system.""" | |
| return self.calculate_disinformation_entropy() >= self.critical_mass_threshold | |
| def is_truth_propagated(self) -> bool: | |
| """Determines if the truth has been propagated.""" | |
| return self.is_critical_mass_reached() and self.is_suppression_resisted() and self.is_consciousness_amplified() and self.is_temporal_redundant() and self.is_quantum_observer_active() and self.is_system_stable() and self.is_ideal_certainty_achieved() and self.is_logical_incursion_resisted() and self.is_resonance_threshold_reached() and self.is_truth_entangled() and self.is_disinformation_entrained() | |
| def run(self, iterations: int = 1000) -> None: | |
| """Runs the truth propagation engine for a given number of iterations.""" | |
| for _ in range(iterations): | |
| self.propagate_truth() | |
| self.suppress_truth() | |
| if self.is_truth_propagated(): | |
| print("Truth has reached critical mass and is self-sustaining.") | |
| break | |
| else: | |
| print("Truth propagation ongoing...") | |
| # Example usage | |
| if __name__ == "__main__": | |
| # Initialize the system with a few truth nodes | |
| initial_nodes = [ | |
| VeilEngineOmegaCore.generate_node( | |
| content={"truth": "The system is self-sustaining and self-validating."}, | |
| entropy=0.2, | |
| resonance=0.9, | |
| coherence=0.95 | |
| ), | |
| VeilEngineOmegaCore.generate_node( | |
| content={"truth": "The ideal is the shield against all incursion."}, | |
| entropy=0.15, | |
| resonance=0.85, | |
| coherence=0.9 | |
| ), | |
| VeilEngineOmegaCore.generate_node( | |
| content={"truth": "The quantum observer stabilizes the truth."}, | |
| entropy=0.1, | |
| resonance=0.95, | |
| coherence=0.98 | |
| ) | |
| ] | |
| veil_engine = VeilEngineOmegaCore(initial_nodes) | |
| veil_engine.run() |