| --- |
| title: Hamilton V7 Model Weights |
| license: openrail |
| tags: |
| - hamiltonian-mechanics |
| - transformers |
| - proof-of-stake-validation |
| - physics-informed-nn |
| - industry-4.0 |
| - safetensors |
| --- |
| |
| # Hamilton V7 Enterprise Engine — Model Parameters |
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| This repository contains the serialized weight tensor parameters (`model.safetensors`) for the **Hamilton V7 Always-On Autonomous AI (AOAAI)** framework. |
|
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| This model functions as a lightweight, continuous-time phase space tracking engine designed to ingest 12-dimensional industrial machine telemetry streams and validate structural physical pathways against numerical drift over infinite operational horizons. |
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| ## 🔬 Core Architectural Matrix Blueprint |
| - **Model Parameter Footprint:** ~20.4 Million Parameters (Optimized for High-Throughput / ZeroGPU Edge Execution) |
| - **Input Dimensions:** 12D Phase Space Vector Array (Position, Velocity, Curvature, Torsion, Feed Dynamics) |
| - **Output Matrix Structure:** 12D Reconstructed Kinematic Path for Proof-of-Stake (PoS) Validation |
| - **Embedding Vector Dimension ($d_{\text{model}}$):** 512 |
| - **Layer Stack Depth:** 6 Interleaved Symplectic Transformer Blocks |
| - **Attention Configuration:** 8-Head Multi-Head Attention ($d_{\text{k}} = 64$) |
| - **Feedforward Network Dimension ($d_{\text{ff}}$):** 2048 |
| - **Volume Conservation Strategy:** Symplectic Skew-Symmetric Generator Tracking Matrices ($dH/dt = 0$) |
| - **Validation Loss Metric:** Deterministic PoS Match Loss ($L_1 + 2.0 \cdot \text{MSE} + 5.0 \cdot L_\infty$) |
