Instructions to use antonypamo/ProSavantEngineII with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use antonypamo/ProSavantEngineII with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("undefined") model.load_adapter("antonypamo/ProSavantEngineII", set_active=True) - Notebooks
- Google Colab
- Kaggle
metadata
license: mit
datasets:
- antonypamo/entrenamiento
language:
- en
- es
base_model:
- antonypamo/ProSavantRRF
- antonypamo/ProSavantEngine
new_version: antonypamo/ProSavantEngine
library_name: adapter-transformers
🧠 AGI–RRF Φ9.0-Δ — Resonance of Reality Framework
Author: Antony Padilla Morales
Version: Φ9.0-Δ
Repository: antonympamo/ProSavantEngine
🌌 Overview
The AGI–RRF Φ9.0-Δ system unifies:
- SavantEngine (cognitive orchestration)
- AGORA Resonant Field Φ8.5 (distributed semantic field)
- RIS-CLURM (icosahedral geometry with logarithmic correction)
- RRF Predictions (quantized Dirac-harmonic model of reality)
It models cognition, resonance, and geometry as a self-organizing icosahedral network of energy-semantic interactions.
⚙️ Key Components
| Module | Description |
|---|---|
IcosahedralField |
Discrete 12-node geometric substrate. |
DiracHamiltonian |
Discrete energy operator with logarithmic potential. |
ResonanceSimulator |
Maps text → waveform → FFT for harmonic coherence. |
AGORA |
WebSocket-based distributed resonance visualization. |
SelfImprover |
Meta-learning loop adjusting system coherence. |
🚀 Run Locally
pip install -r requirements.txt
python AGI_RRF_Phi9_Delta.py