reaperdoesntknow/Symiotic-14B
reaperdoesntknow/Symiotic-14B is a 17.8 billion parameter symbolic–transformer hybrid model built on Qwen-14B, developed by Convergent Intelligence LLC. It integrates neural representation with structured symbolic cognition, featuring persistent memory, entropic recall, and self-organizing knowledge structures. This model is designed for advanced reasoning agents, symbolic math, code generation, and multi-step conversational agents requiring true memory.
Loading preview...
SymbioticLM-14B: A Hybrid Symbolic-Transformer Model
SymbioticLM-14B, developed by Convergent Intelligence LLC, is a 17.8 billion parameter hybrid model that combines a Qwen-14B transformer backbone with advanced symbolic cognition modules. This unique architecture allows for tight coupling of high-capacity neural representation with structured symbolic processing, aiming to excel in symbolic domains.
Key Capabilities & Features
- Hybrid Architecture: Integrates a Qwen-14B transformer with specialized symbolic modules like ThoughtDynamicsLNN, LiquidThoughtProcessor, and CrystallineProcessor.
- Persistent Memory: Features 4096 symbolic states in FP32, retrieved using entropy and contextual similarity, enabling true memory for long-term interactions.
- Symbolic Evolution: Supports generative symbolic evolution and self-organizing knowledge structures, underpinned by Discrepancy Calculus (DISC) for dynamic completeness and stability.
- Dream Mode: Includes a background symbolic simulation for open-ended cognition.
- Advanced Routing: Utilizes an intent classifier and entropy gating to select appropriate processor paths.
Ideal Use Cases
- Advanced Reasoning Agents: For complex, multi-step problem-solving.
- Symbolic Math & Code Generation: Excels in tasks requiring structured logical output.
- Conversational Agents: Designed for interactions demanding true memory and long-form symbolic theorem generation.
- Scientific Dialogue & Simulations: Suitable for reasoning in fuzzy or discontinuous problem domains.