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
| 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](https://huggingface.co/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 | |
| ```bash | |
| pip install -r requirements.txt | |
| python AGI_RRF_Phi9_Delta.py |