| # LightTiny 4M - Level 5 Field Dynamics Model | |
| ## Overview | |
| LightTiny is a proof-of-concept implementation of the LIGHTBRAIN architecture | |
| using Level 5 Pure Field Dynamics. | |
| ## Architecture | |
| **5-Layer Compression:** | |
| 1. **Field Configuration Storage** - Substrate field, attractors, coupling maps | |
| 2. **Pattern Propagation Router** - Token embeddings, field projections | |
| 3. **Resonance Tiers** - Sparse activation management | |
| 4. **Field Dynamics Engine** - Field evolution parameters | |
| 5. **Bridge + API** - Pattern to token mapping | |
| ## Model Statistics | |
| - Total Configurations: 3,997,696 | |
| - Total Parameters: 7,102,464 | |
| - Memory: 27.09 MB | |
| - Vocab Size: 8000 | |
| - Field Size: 256 x 488 | |
| - Regions: 32 | |
| ## Key Features | |
| - **Sparse Activation**: Only 5.0% of field active at any time | |
| - **No Backprop Training**: Uses resonance alignment (Hebbian-like learning) | |
| - **Pure Field Dynamics**: Parameters are field configurations, not weights | |
| ## Usage | |
| ```python | |
| from lightTiny.model.field_model import LightTinyModel | |
| model = LightTinyModel.load("exports/lighttiny-4m") | |
| result = model.generate_token([2], temperature=0.8) | |
| print(result.token_id) | |
| ``` | |
| ## License | |
| Research use only. | |