🏛️ qu_ssm (QU-SSM-60M-MoE): Continuous Quasi-Unitary State Space Model with Sparse Mixture-of-Experts

qu_ssm-60Moe (QU-SSM-60M-MoE) is the mid-tier foundation model of the qu_ssm family designed and invented by Prannessh K.V.A. (Sole Architect & Inventor). It combines continuous Lie-group unitary recurrence on SO(2) ≅ U(1) with 4 SwiGLU Mixture-of-Experts (MoE) and Top-2 routing (44.64M active parameters per token).

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🔍 What is qu_ssm?

qu_ssm is a linear-time continuous sequence engine that replaces the monotonic dissipative decay (e^(-α·t) → 0) of classical state space models (Mamba-1/2) with non-dissipative SO(2) unitary phase rotations (‖R(θ)‖₂ ≡ 1.00000), delivering strictly constant O(1) inference memory and sub-millisecond step latency.

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📊 Architecture Specifications

Specification	Value
Model Name	qu_ssm-60Moe (QU-SSM-60M-MoE)
Sole Architect & Inventor	Prannessh K.V.A.
Total Parameters	64.30M
Active Parameters / Token	44.64M (Top-2 Sparse MoE)
Hidden Dimension (D)	384
Layers	6
SSM State Dimension	8
Expert Count	4 SwiGLU Experts
Vocabulary	50,257 (GPT-2 BPE)
Inference State RAM	0.19 MB (Constant O(1))

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🔒 Intellectual Property & Citation

• Sole Architect & Inventor: Prannessh K.V.A.
• Official Research DOI: 10.5281/zenodo.22217820
• License: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)

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🔗 Related qu_ssm Hub Repositories

• 🚀 qu_ssm-130Moe (134.89M Flagship Model)
• ⚡ qu_ssm-60Moe (64.30M Mid-Tier Model)
• 🔬 qu_ssm-15M (29.80M Foundation Model)
• 🎨 qu_ssm Interactive Web Studio