🏛️ QU-SSM-15M: Continuous Quasi-Unitary State Space Foundation Model

📄 Official Research Paper (PDF) & Open Verification

Title: "Gated Quasi-Unitary Lie-Algebra Recurrent State Space Models"
Author: Prannessh K.V.A. (@prannesshkva)

📥 Download Full Research Paper (PDF) | 🏛️ Zenodo DOI: 10.5281/zenodo.22283431 | 🎮 Live Interactive Space

QU-SSM-15M is the lightweight dense foundation sequence model of the QU-SSM family, designed and invented by Prannessh K.V.A. (Sole Architect & Inventor). Built for embedded edge hardware and micro-controllers, it delivers continuous Lie-group unitary recurrence on SO(2) ≅ U(1) with dense SwiGLU representations (29.80M parameters).

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🧬 Base Model Lineage & Technical Notes

• Core Architecture: Dense Continuous Quasi-Unitary Recurrent State Space Foundation Model (SO(2) Lie-group dynamics).
• Tokenizer Lineage: Initialized with standard GPT-NeoX / Pythia vocabulary (50,277 tokens).
• Pre-training & Calibration: Pre-trained from scratch on roneneldan/TinyStories for ultra-low latency edge devices, microcontrollers, and embedded hardware.
• Parameter Footprint: 29.80M Physical Parameters (dense SwiGLU projections, d_model=256, d_state=16, 6 layers).
• Mathematical Invariant: Exact Euclidean norm preservation (||R(theta)||_2 = 1.000) preventing contractive dissipation.
• Official Research Contact: LinkedIn — Prannesh K. V. A.

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🔍 What is QU-SSM?

QU-SSM is a state-of-the-art linear-time sequence architecture that replaces real-valued negative dissipation (e^(-α·t) → 0) with non-dissipative SO(2) phase rotations (‖R(θ)‖₂ ≡ 1.00000).

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🔒 Intellectual Property & Citation

• Sole Architect & Inventor: Prannessh K.V.A.
• Official Research DOI: 10.5281/zenodo.22283431
• License: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
• Official Contact: LinkedIn — Prannesh K. V. A.

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• 🚀 QU-SSM-130M-MoE (134.89M Flagship Model)
• ⚡ QU-SSM-60M-MoE (64.30M Mid-Tier Model)
• 🔬 QU-SSM-15M (29.80M Foundation Model)
• ⚛️ Liquid QU-SSM-130M (Continuous-Time LNN)
• 🎮 QU-SSM Scientific Benchmark Suite