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README.md

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-license: openrail
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+This repository contains the optimized weights tensor parameters (`model.safetensors`) for the **Hamilton V5 Always-On Autonomous AI (AOAAI)** framework. 
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+This model functions as a massive continuous-time phase space tracking engine designed to process 12-dimensional industrial machine telemetry streams and validate structural physical pathways without experiencing numerical drift or performance degradation over infinite operational horizons.
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+## 🔬 Core Architectural Matrix Blueprint
+- **Model Parameter Footprint:** ~512 Million Parameters (Proprietary Business Moat Matrix)
+- **Input Dimensions:** 12D Phase Space Vector Array (Position, Velocity, Curvature, Torsion, Feed Dynamics)
+- **Output Matrix Structure:** 12D Perfect Reconstructed Kinematic Path for Proof-of-Stake Validation
+- **Embedding Vector Dimension ($d_{\text{model}}$):** 2048
+- **Layer Stack Depth:** 32 Interleaved Symplectic Core Blocks
+- **Attention Configuration:** 16 Head Continuous-Time Symplectic Attention
+- **Volume Conservation Strategy:** Symplectic Skew-Symmetric Generator Tracking Matrices ($dH/dt = 0$)
+- **Validation Target Metric:** Strict L1 + Outlier MSE Minimization Matrix (No Cosine Slippage Allowed)