---
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

This repository contains the serialized weight tensor parameters (`model.safetensors`) for the **Hamilton V7 Always-On Autonomous AI (AOAAI)** framework. 

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.

## 🔬 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 ($L_1 + 2.0 \cdot \text{MSE} + 5.0 \cdot L_\infty$)