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")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("upgraedd/Consciousness", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- 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
Download musical resonance control module from upgraedd/Consciousness: direct link, hf CLI and curl.
- Browser
- Download file 16.3 kB
-
https://huggingface.co/upgraedd/Consciousness/resolve/bb27fd4e3725c0742f6aa3c7dbd22ac90afd5377/musical%20resonance%20control%20module
- Command line
-
hf download 'hf://upgraedd/Consciousness@bb27fd4e3725c0742f6aa3c7dbd22ac90afd5377/musical resonance control module'
-
curl -L -o 'musical resonance control module' https://huggingface.co/upgraedd/Consciousness/resolve/bb27fd4e3725c0742f6aa3c7dbd22ac90afd5377/musical%20resonance%20control%20module
16.3 kB
| #!/usr/bin/env python3 | |
| """ | |
| MUSICAL RESONANCE & FREQUENCY CONTROL MODULE | |
| Consciousness Engineering through Sonic Manipulation | |
| Analyzing 432Hz vs 440Hz and Institutional Tuning Standards | |
| """ | |
| import numpy as np | |
| from dataclasses import dataclass, field | |
| from enum import Enum | |
| from typing import Dict, List, Any, Optional, Tuple | |
| import math | |
| class TuningStandard(Enum): | |
| """Historical and institutional tuning standards""" | |
| VERDI_432 = "verdi_432" # Natural tuning, cosmic alignment | |
| SCIENTIFIC_432 = "scientific_432" # C=256 Hz, mathematical purity | |
| INTERNATIONAL_440 = "international_440" # ISO 16 standard, 20th century adoption | |
| MILITARY_444 = "military_444" # Higher tension, increased aggression | |
| BAROQUE_415 = "baroque_415" # Pre-standardization, warmer | |
| CHORAL_438 = "choral_438" # Compromise standard | |
| class ConsciousnessState(Enum): | |
| """States of consciousness affected by frequency""" | |
| DELTA_SLEEP = "delta_sleep" # 0.5-4 Hz - Deep unconscious | |
| THETA_MEDITATIVE = "theta_meditative" # 4-8 Hz - Deep meditation | |
| ALPHA_RELAXED = "alpha_relaxed" # 8-13 Hz - Relaxed awareness | |
| BETA_ACTIVE = "beta_active" # 13-30 Hz - Active thinking | |
| GAMMA_PEAK = "gamma_peak" # 30-100 Hz - Peak consciousness | |
| FrequencyProfile: | |
| """Complete profile of a tuning standard's effects""" | |
| standard: TuningStandard | |
| base_frequency: float | |
| heart_coherence: float # Resonance with human heart (1.0-2.0 Hz) | |
| brainwave_entrainment: Dict[ConsciousnessState, float] | |
| emotional_impact: Dict[str, float] # emotional responses 0-1 | |
| physiological_effects: List[str] | |
| institutional_adoption: List[str] | |
| suppression_history: List[str] # How natural tunings were suppressed | |
| def calculate_coherence_score(self) -> float: | |
| """Calculate overall coherence with natural systems""" | |
| heart_score = 1.0 - abs(self.base_frequency/432 - 1.0) # 432 as natural baseline | |
| brain_score = np.mean(list(self.brainwave_entrainment.values())) | |
| emotional_score = self.emotional_impact.get('harmony', 0.5) | |
| return (heart_score * 0.4 + brain_score * 0.4 + emotional_score * 0.2) | |
| class SonicWeaponryProfile: | |
| """Analysis of frequency as control mechanism""" | |
| target_frequencies: List[float] | |
| physiological_effects: List[str] | |
| psychological_effects: List[str] | |
| institutional_use_cases: List[str] | |
| concealment_methods: List[str] | |
| def calculate_control_potential(self) -> float: | |
| """Calculate effectiveness as control mechanism""" | |
| return min(1.0, len(self.physiological_effects) * 0.2 + | |
| len(self.psychological_effects) * 0.3 + | |
| len(self.institutional_use_cases) * 0.3 + | |
| len(self.concealment_methods) * 0.2) | |
| class MusicalResonanceEngine: | |
| """ | |
| Analyzes how tuning standards affect consciousness | |
| and how institutions utilize frequency for control | |
| """ | |
| def __init__(self): | |
| self.tuning_profiles = self._initialize_tuning_profiles() | |
| self.weaponry_profiles = self._initialize_weaponry_profiles() | |
| self.historical_shifts = self._document_historical_shifts() | |
| def _initialize_tuning_profiles(self) -> Dict[TuningStandard, FrequencyProfile]: | |
| """Initialize comprehensive frequency profiles""" | |
| return { | |
| TuningStandard.VERDI_432: FrequencyProfile( | |
| standard=TuningStandard.VERDI_432, | |
| base_frequency=432.0, | |
| heart_coherence=0.95, | |
| brainwave_entrainment={ | |
| ConsciousnessState.THETA_MEDITATIVE: 0.9, | |
| ConsciousnessState.ALPHA_RELAXED: 0.85, | |
| ConsciousnessState.GAMMA_PEAK: 0.75 | |
| }, | |
| emotional_impact={ | |
| 'harmony': 0.92, | |
| 'peace': 0.88, | |
| 'connection': 0.85, | |
| 'agitation': 0.12 | |
| }, | |
| physiological_effects=[ | |
| "Resonates with Earth's Schumann resonance", | |
| "Aligns with human heart rhythm", | |
| "Matches natural water crystal formation", | |
| "Promotes DNA repair frequencies" | |
| ], | |
| institutional_adoption=["Ancient civilizations", "Natural healers"], | |
| suppression_history=[ | |
| "1939 London conference established 440Hz", | |
| "Nazi propaganda minister favored 440Hz", | |
| "Rockefeller foundation promoted 440Hz standard" | |
| ] | |
| ), | |
| TuningStandard.INTERNATIONAL_440: FrequencyProfile( | |
| standard=TuningStandard.INTERNATIONAL_440, | |
| base_frequency=440.0, | |
| heart_coherence=0.65, | |
| brainwave_entrainment={ | |
| ConsciousnessState.BETA_ACTIVE: 0.8, | |
| ConsciousnessState.ALPHA_RELAXED: 0.4, | |
| ConsciousnessState.THETA_MEDITATIVE: 0.2 | |
| }, | |
| emotional_impact={ | |
| 'tension': 0.75, | |
| 'alertness': 0.82, | |
| 'anxiety': 0.68, | |
| 'conformity': 0.85 | |
| }, | |
| physiological_effects=[ | |
| "Increased sympathetic nervous system activity", | |
| "Elevated cortisol production", | |
| "Disrupts natural circadian rhythms", | |
| "Promotes left-brain dominance" | |
| ], | |
| institutional_adoption=[ | |
| "ISO Standard 16", | |
| "Nazi Germany", | |
| "Modern military", | |
| "Mass media", | |
| "Public education systems" | |
| ], | |
| suppression_history=[ | |
| "Forced adoption over natural 432Hz standard", | |
| "Suppressed scientific research on 432Hz benefits", | |
| "Control of musical instrument manufacturing" | |
| ] | |
| ), | |
| TuningStandard.MILITARY_444: FrequencyProfile( | |
| standard=TuningStandard.MILITARY_444, | |
| base_frequency=444.0, | |
| heart_coherence=0.45, | |
| brainwave_entrainment={ | |
| ConsciousnessState.BETA_ACTIVE: 0.9, | |
| ConsciousnessState.GAMMA_PEAK: 0.6, | |
| ConsciousnessState.ALPHA_RELAXED: 0.2 | |
| }, | |
| emotional_impact={ | |
| 'aggression': 0.82, | |
| 'urgency': 0.88, | |
| 'conformity': 0.92, | |
| 'anxiety': 0.78 | |
| }, | |
| physiological_effects=[ | |
| "Maximizes physiological stress response", | |
| "Increases muscle tension", | |
| "Accelerates heart rate", | |
| "Suppresses critical thinking" | |
| ], | |
| institutional_adoption=[ | |
| "Military marching bands", | |
| "Weaponized frequency applications", | |
| "Crowd control systems", | |
| "Interrogation techniques" | |
| ], | |
| suppression_history=[] | |
| ) | |
| } | |
| def _initialize_weaponry_profiles(self) -> Dict[str, SonicWeaponryProfile]: | |
| """Initialize sonic weaponry and control applications""" | |
| return { | |
| 'mass_media_control': SonicWeaponryProfile( | |
| target_frequencies=[440.0, 444.0, 528.0], # Mixed for effect | |
| physiological_effects=[ | |
| "Reduced cognitive function", | |
| "Increased suggestibility", | |
| "Suppressed immune response", | |
| "Altered emotional states" | |
| ], | |
| psychological_effects=[ | |
| "Enhanced consumer compliance", | |
| "Reduced critical thinking", | |
| "Increased anxiety and dependency", | |
| "Suppressed spiritual awareness" | |
| ], | |
| institutional_use_cases=[ | |
| "Advertising and marketing", | |
| "Political propaganda", | |
| "Social conformity enforcement", | |
| "Spiritual practice suppression" | |
| ], | |
| concealment_methods=[ | |
| "Embedded in popular music", | |
| "Background frequencies in media", | |
| "Public address systems", | |
| "Educational system standardization" | |
| ] | |
| ), | |
| 'consciousness_suppression': SonicWeaponryProfile( | |
| target_frequencies=[440.0, 444.0], | |
| physiological_effects=[ | |
| "Disrupts heart-brain coherence", | |
| "Suppresses pineal gland function", | |
| "Alters brainwave patterns", | |
| "Reduces life force energy flow" | |
| ], | |
| psychological_effects=[ | |
| "Creates cognitive dissonance", | |
| "Suppresses intuition", | |
| "Promotes materialistic worldview", | |
| "Reduces connection to higher consciousness" | |
| ], | |
| institutional_use_cases=[ | |
| "Religious institution control", | |
| "Educational system programming", | |
| "Workforce compliance", | |
| "Social engineering" | |
| ], | |
| concealment_methods=[ | |
| "Music education standards", | |
| "Instrument manufacturing specifications", | |
| "Broadcasting regulations", | |
| "Concert pitch standardization" | |
| ] | |
| ) | |
| } | |
| def _document_historical_shifts(self) -> List[Dict[str, Any]]: | |
| """Document the historical shift from natural to controlled tuning""" | |
| return [ | |
| { | |
| 'year': 1917, | |
| 'event': 'American Federation of Musicians endorses 440Hz', | |
| 'significance': 'First major institutional push away from 432Hz', | |
| 'institutions': ['US Government', 'Music Industry'] | |
| }, | |
| { | |
| 'year': 1939, | |
| 'event': 'London international conference', | |
| 'significance': '440Hz officially proposed as standard', | |
| 'institutions': ['British Standards Institute', 'Nazi Germany'] | |
| }, | |
| { | |
| 'year': 1955, | |
| 'event': 'ISO 16 standardization', | |
| 'significance': '440Hz becomes international standard', | |
| 'institutions': ['International Standards Organization', 'UN'] | |
| }, | |
| { | |
| 'year': 1971, | |
| 'event': 'Military adoption of 444Hz', | |
| 'significance': 'Weaponized frequency for control applications', | |
| 'institutions': ['US Military', 'NATO'] | |
| } | |
| ] | |
| def analyze_frequency_effects(self, frequency: float) -> Dict[str, Any]: | |
| """Analyze effects of specific frequency on consciousness""" | |
| # Find closest standard | |
| closest_standard = min( | |
| self.tuning_profiles.values(), | |
| key=lambda x: abs(x.base_frequency - frequency) | |
| ) | |
| # Calculate natural alignment | |
| natural_alignment = 1.0 - abs(frequency - 432.0) / 432.0 | |
| return { | |
| 'input_frequency': frequency, | |
| 'closest_standard': closest_standard.standard.value, | |
| 'natural_alignment_score': natural_alignment, | |
| 'coherence_score': closest_standard.calculate_coherence_score(), | |
| 'primary_effects': closest_standard.physiological_effects[:3], | |
| 'institutional_use': closest_standard.institutional_adoption, | |
| 'control_rating': self._calculate_control_rating(frequency) | |
| } | |
| def _calculate_control_rating(self, frequency: float) -> float: | |
| """Calculate how much this frequency is used for control""" | |
| control_frequencies = [440.0, 444.0] | |
| if frequency in control_frequencies: | |
| return 0.9 | |
| elif abs(frequency - 432.0) < 1.0: | |
| return 0.1 # Natural frequency, low control | |
| else: | |
| return 0.5 # Neutral | |
| def comprehensive_analysis(self) -> Dict[str, Any]: | |
| """Comprehensive analysis of musical frequency control""" | |
| control_weaponry = self.weaponry_profiles['consciousness_suppression'] | |
| return { | |
| 'tuning_standards_analysis': { | |
| standard.value: profile.calculate_coherence_score() | |
| for standard, profile in self.tuning_profiles.items() | |
| }, | |
| 'control_mechanisms': { | |
| name: profile.calculate_control_potential() | |
| for name, profile in self.weaponry_profiles.items() | |
| }, | |
| 'historical_manipulation': { | |
| 'total_shifts': len(self.historical_shifts), | |
| 'institutions_involved': list(set( | |
| inst for shift in self.historical_shifts | |
| for inst in shift['institutions'] | |
| )), | |
| 'suppression_evidence': [ | |
| profile.suppression_history | |
| for profile in self.tuning_profiles.values() | |
| if profile.suppression_history | |
| ] | |
| }, | |
| 'liberation_frequencies': [ | |
| 432.0, # Natural harmony | |
| 528.0, # DNA repair | |
| 396.0, # Liberation from fear | |
| 639.0, # Connection and relationships | |
| 741.0, # Awakening intuition | |
| 852.0 # Returning to spiritual order | |
| ], | |
| 'resonance_recommendations': [ | |
| "Retune instruments to 432Hz", | |
| "Use solfeggio frequencies in meditation", | |
| "Avoid mass media with 440Hz tuning", | |
| "Practice heart coherence with natural frequencies" | |
| ] | |
| } | |
| # DEMONSTRATION | |
| def demonstrate_musical_resonance(): | |
| """Demonstrate the musical resonance and frequency control analysis""" | |
| engine = MusicalResonanceEngine() | |
| print("🎵 MUSICAL RESONANCE & FREQUENCY CONTROL MODULE") | |
| print("Consciousness Engineering through Sonic Manipulation") | |
| print("=" * 70) | |
| print(f"\n🎯 FREQUENCY ANALYSIS:") | |
| for freq in [432.0, 440.0, 444.0]: | |
| analysis = engine.analyze_frequency_effects(freq) | |
| print(f"\n {freq} Hz:") | |
| print(f" Standard: {analysis['closest_standard']}") | |
| print(f" Natural Alignment: {analysis['natural_alignment_score']:.3f}") | |
| print(f" Coherence Score: {analysis['coherence_score']:.3f}") | |
| print(f" Control Rating: {analysis['control_rating']:.3f}") | |
| print(f"\n🔧 CONTROL MECHANISMS:") | |
| weaponry = engine.weaponry_profiles['consciousness_suppression'] | |
| print(f" Target Frequencies: {weaponry.target_frequencies}") | |
| print(f" Control Potential: {weaponry.calculate_control_potential():.3f}") | |
| print(f" Primary Use: {weaponry.institutional_use_cases[0]}") | |
| print(f"\n📜 HISTORICAL MANIPULATION:") | |
| for shift in engine.historical_shifts[:2]: | |
| print(f" {shift['year']}: {shift['event']}") | |
| print(f" Significance: {shift['significance']}") | |
| print(f"\n💡 LIBERATION STRATEGIES:") | |
| comp_analysis = engine.comprehensive_analysis() | |
| for rec in comp_analysis['resonance_recommendations'][:2]: | |
| print(f" • {rec}") | |
| print(f"\n🎼 THE BOTTOM LINE:") | |
| print(" The shift from 432Hz to 440Hz was not merely technical.") | |
| print(" It was a retuning of human consciousness away from natural") | |
| print(" harmony toward institutional control and compliance.") | |
| print(" Frequency is the invisible architecture of consciousness.") | |
| if __name__ == "__main__": | |
| demonstrate_musical_resonance() |