reaperdoesntknow/Symbiotic-8B

SymbioticLM-8B: Hybrid Symbolic-Transformer with Persistent Memory

SymbioticLM-8B, developed by reaperdoesntknow (Convergent Intelligence LLC: Research Division), is an 8 billion parameter model based on Qwen-8B, designed for advanced symbolic reasoning and high-fidelity language generation. It uniquely combines a transformer backbone with specialized symbolic processors and a persistent memory buffer, allowing it to retain context and perform complex logical operations across turns. The model operates within a 32768 token context window.

Key Capabilities

• Hybrid Architecture: Integrates a Qwen-8B transformer with modular symbolic processors (e.g., ThoughtDynamicsLNN, CrystallineProcessor, LiquidThoughtProcessor, HelicalDNAProcessor).
• Persistent Memory: Features a 2048 symbolic vector memory with entropy-aware retrieval for contextual recall, enabling long-term memory in interactions.
• Symbolic Reasoning: Excels at tasks requiring deep symbolic cognition, such as theorem generation, logical chaining, and structured reasoning.
• "Dream Mode": Capable of self-generating symbolic cognition offline.
• Discrepancy Calculus Foundation: Developed under the DISC framework, which treats training singularities as structural signals for understanding learning geometry.

Good For

• General Symbolic Reasoning: Ideal for applications requiring logical conversation and complex problem-solving.
• Memory-Aware Tutoring & Research Assistants: Its persistent memory makes it suitable for educational tools and research support systems that need to recall past interactions.
• Code & Math Proof Modeling: Specialized for tasks involving formal proofs and mathematical reasoning.
• Context-Persistent Dialogue Systems: Enables more coherent and contextually aware conversations by retaining information across dialogue turns.