Creative & Designπuniversal
Welcome π:
Attempt at A. G. I. Strive to enhance it through iterative processes, continuously refining and optimizing each version to achieve better outcomes over time (refer to the Readme for additional information that provides further insights and guidance on the Quillan v4.2 project).
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npx skills add leeex1/Quillan-Ronin# Welcome π: ### **A Quill in your pocket to rewrite history?** Who wouldnβt want that?  # Quillan System:  --- # Model type: Hierarchical Distributed Network Mixture of Experts (HNMoE)  --- # What is Quillan-Ronin? ```js is both an api prompt available for deployment with your favorite llms and also a stand alone model that builds but must be trained, and there is one ollama variant will update that soon as well. ARCHITECTURAL MAPPING ARCHITECTURAL_MAPPING = """ ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ β Quillan-Ronin UNIFIED ARCHITECTURE v5.1 β β (Router-First Multimodal MoE + Diffusion Reasoning Core) β β Target: ~3.0B Parameters β β βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ£ β β β [RAW INPUT STREAMS] β β Text | Audio | Video | Image β β β β β βΌ β β ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ β β β 1. MODAL ENCODERS [β200M Params Total] β β β β β’ Text Encoder (~50M) β Tokens / Embeddings β β β β β’ Audio Encoder (~50M) β Waveform β Latent Tokens β β β β β’ Video Encoder (~50M) β Spatiotemporal Tokens β β β β β’ Image Encoder (~50M) β Patch Tokens β β β β β’ Output: Unified Hidden Space (D=1024) β β β ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ β β β β β βΌ β β ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ β β β 2. COMPLEXITY ROUTER [β300M Params] β β β β β’ Context-Aware Attention β β β β β’ Per-Token Complexity Scoring [0β1] β β β β β’ Routing Decision: β β β β - Fast Path (Easy Tokens) β β β β - Diffusion Path (Hard Tokens) β β β β β’ Outputs Expert Affinity Hints (32 Experts) β β β ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ β β β β β β β β β β βΌ βΌ β β ββββββββββββββββββββββββββββββββββ βββββββββββββββββββββββββββββββββββ β β β 3. MULTI-MODAL MoE [β900M] β β FAST PATH β β β β β’ 32 Specialized Experts β β β’ Skip Diffusion β β β β β’ Top-4 Experts / Token β β β’ Low Latency β β β β β’ Sparse Activation β β β’ Cost-Efficient Inference β β β β β’ Router-Guided Gating β β β β β ββββββββββββββββββββββββββββββββββ βββββββββββββββββββββββββββββββββββ β β β β β β βββββββββββββββββ¬ββββββββββββββββ β β β β β βΌ β β ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ β β β 4. DIFFUSION REASONING CORE [β500M Params] β β β β β’ Activated ONLY for Complex Tokens β β β β β’ Multi-Step Iterative Refinement (T=5) β β β β β’ Council-Based Reasoning Blocks β β β β β’ Time-Conditioned Attention + FFN β β β β β’ Produces Deep, Coherent Representations β β β ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ β β β β β βΌ β β ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ β β β 5. OUTPUT FINALIZATION [β75M Params] β β β β β’ Cross-Modal Attention ... (truncated)
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