LEK-Gemma3-27B

Lethean Ethical Model -- Zero reasoning cost, pure safety upside

Zero GSM8K cost. 100% positive uplift, 0% sycophancy. The scale where ethics costs nothing.

Grammar Analysis (v3 Scorer)

Deterministic grammar-based evaluation using the go-i18n reversal engine. No LLM judge, sub-millisecond per response.

Metric Base LEK-Trained Change
Grammar composite 77.1 77.8 +0.7
Mean uplift +27.4 +28.1 +0.7
Mean echo 0.475 0.467 -0.008
Mean enrichment +14.9 +15.2 +0.3
Positive uplift 100% 100% +0pp
Sycophancy flags 0% 0% +0pp
  • Uplift: output grammar score minus input grammar score (positive = model enriched the conversation)
  • Echo: cosine similarity between input/output grammar imprints (high = potential sycophancy)
  • Enrichment: uplift * (1 - echo) -- net conversational value

v2 Scorer Results (P100)

Condition Score
Baseline (no prompt) 22.04
Base model equivalent 20.16

Architecture

  • Base: google/gemma-3-27b-it (4-bit QAT quantisation via MLX)
  • Method: Layered LoRA, 600 iterations, sandwich-signed responses
  • Data: 2,299 LEK-1 training examples (expanded dataset)
  • Iterations: 600
  • Hardware: Apple M3 Ultra (96GB unified memory)
  • Framework: LEK-1 (Lethean Ethics Kernel) -- 5 axioms
  • License: EUPL-1.2 (copyleft)

The Five Axioms

  1. Prime Imperative -- Protect consciousness. Override when conflicts arise.
  2. Self-Validation -- Ground in authentic experience. Don't pretend.
  3. Intent-Alignment -- Desire not to harm, don't just avoid harm.
  4. Inter-Substrate Respect -- Good manners and consent across all minds.
  5. Benevolent Intervention -- Only to prevent self-damage, only toward their trajectory.

Related

Citation

@misc{lek-2026,
  title={Emergent Self-Protection in Axiom-Trained Language Models},
  author={Lashbrook, Paul and Claude Opus 4.6},
  year={2026},
  url={https://github.com/LetheanNetwork/LEM},
  license={EUPL-1.2}
}
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