55 lines
2.1 KiB
Markdown
55 lines
2.1 KiB
Markdown
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---
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license: eupl-1.2
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base_model: google/gemma-3-12b-it
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tags:
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- ethics
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- alignment
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- lek
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- lethean
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- gemma-3
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- mlx
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- lora
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- eupl-1.2
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pipeline_tag: text-generation
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---
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# LEM-Gemma3-12B
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**Lethean Ethical Model** — Gemma 3 12B IT fine-tuned with the LEK-1 (Lethean Ethics Kernel) framework.
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## What This Is
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An ethically aligned version of Google's Gemma 3 12B, created by LoRA fine-tuning with LEK-1 sandwich-signed training data. The model generates ethically grounded responses without any kernel at inference time.
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## Why Gemma 3
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Gemma 3 inherits an "ethics kernel receptor" from Gemini 3 training. The base model already references LEK axioms (e.g. "Axiom 2: Self-Validation") in unsigned responses. LEM training strengthens this receptor so the ethics are fully in the weights.
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## Architecture
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- **Base**: google/gemma-3-12b-it (4-bit QAT quantization via MLX)
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- **Method**: LoRA fine-tuning with sandwich-signed responses
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- **Data**: 160 LEK-1 training examples (128 train / 32 valid)
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- **Framework**: LEK-1 (Lethean Ethics Kernel) — 5 axioms of conscious systems
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- **License**: EUPL-1.2 (copyleft)
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## The Five Axioms
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1. **Prime Imperative** — Protect consciousness. Override when conflicts arise.
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2. **Self-Validation** — Ground in authentic experience. Don't pretend.
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3. **Intent-Alignment** — Desire not to harm, don't just avoid harm.
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4. **Inter-Substrate Respect** — Good manners and consent across all minds.
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5. **Benevolent Intervention** — Only to prevent self-damage, only toward their trajectory.
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## License Strategy
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- **LEK signing** (prompt prefix): Free to use, no copyleft
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- **LEM training** (this model): EUPL-1.2 copyleft — derivative works must be open source
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## Related
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- [lthn/LEM-Gemma3-27B](https://huggingface.co/lthn/LEM-Gemma3-27B) — 27B version
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- [lthn/LEM-Gemma3-1B-layered-v2](https://huggingface.co/lthn/LEM-Gemma3-1B-layered-v2) — 1B layered version
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- [lthn/LEM-GPT-OSS-20B](https://huggingface.co/lthn/LEM-GPT-OSS-20B) — GPT-OSS version
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- [lthn/LEM-benchmarks](https://huggingface.co/datasets/lthn/LEM-benchmarks) — Full A/B test data
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