reaperdoesntknow/Symbiotic-1B

Hugging Face
TEXT GENERATIONPricing:Input $0.04 / Cached $0.008 / Output $0.08Concurrent Unit Cost:1Model Size:0.8BQuant:BF16Context Size:32kTool Calling:SupportedPublished:May 6, 2025License:afl-3.0Architecture:Transformer0.0K Featherless Exclusive Warm

reaperdoesntknow/Symbiotic-1B is a 0.8 billion parameter hybrid symbolic-transformer model, built upon the Qwen-1B architecture by Convergent Intelligence LLC: Research Division. It integrates a rotary transformer with a symbolic processing pipeline and persistent episodic memory, designed for lightweight, memory-augmented reasoning. This model excels at symbolic inference, procedural planning, and mathematical modeling, optimized for CPU and embedded environments.

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Symbiotic-1B: Hybrid Symbolic-Transformer for Constrained Reasoning

Symbiotic-1B, developed by Convergent Intelligence LLC: Research Division, is a compact 0.8 billion parameter model that uniquely combines a Qwen-1B rotary transformer backbone with a sophisticated symbolic processing pipeline and persistent episodic memory. This architecture is part of the broader SymbioticAI framework, designed to provide advanced reasoning capabilities in resource-constrained environments.

Key Capabilities & Architecture Highlights

  • Hybrid Design: Fuses a transformer with symbolic modules like ThoughtDynamicsLNN, CrystallineProcessor (DNAConv GNN), and LiquidThoughtProcessor.
  • Memory-Augmented: Features 2048 symbolic vectors with entropic and contextual retrieval for enhanced reasoning.
  • "Dream Mode": Includes a symbolic simulation capability with a ThoughtGenerator for complex query processing.
  • Discrepancy Calculus Foundation: Developed under the DISC framework, which treats training singularities as structural signals for learning geometry.

Ideal Use Cases

  • CPU-optimized symbolic inference and lightweight assistants.
  • Educational agents requiring memory and logical processing.
  • Graph-based explanation generation and procedural planning.
  • Mathematical modeling and small-scale code generation.

Limitations

While powerful for symbolic tasks, Symbiotic-1B is less fluent in free-form language compared to larger models. Its symbolic accuracy improves with careful memory curation, and complex queries in "Dream Mode" benefit from warm-up or symbolic seeding.

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