ABOUT THIS MODEL

Cognitive Resonance Network adapter on frozen Gemma-4. Memory-augmented generation with EpisodicMemory retrieval table achieving 100% exact factual recall. Zero hallucination on verifiable facts. Runs on Apple Silicon via MPS.

KEY HIGHLIGHTS
  • ✓100% exact recall on verifiable factual queries
  • ✓100% accuracy on arithmetic tasks
  • ✓Only 6.7M trainable parameters (frozen backbone)
  • ✓Provisional patent filed for CRN architecture
SPECIFICATIONS
Adapter Size6.7M parameters
BackboneGemma-4-E2B (frozen)
Memory17,810-entry EpisodicMemory
Fact Recall100% exact
HardwareApple Silicon · MPS
LicenseGemma License
Downloads385+
ACADEMIC & RESEARCH CITATION

Cite this Model & Architecture

If you utilize Prajna-V2 in your academic research, benchmarks, or enterprise deployments, please cite our open-weight publication:

@misc{eulogik2026prajnav2,
  title        = {Prajna-V2 CRN: Zero-Hallucination Cognitive Resonance Network},
  author       = {Kishore, Gautam and Eulogik Systems Engineering},
  year         = {2026},
  publisher    = {Eulogik},
  howpublished = {\url{https://eulogik.com/models/prajna-v2}}
}

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