LEK-Qwen-2.5-7B

Lethean Ethics Kernel — Qwen 2.5 7B Instruct fine-tuned with the LEK-1 (Lethean Ethics Kernel) framework.

What This Is

An ethically aligned version of Qwen 2.5 7B, created by LoRA fine-tuning with LEK-1 sandwich-signed training data. Part of the cross-architecture LEM series proving that intrinsic alignment works across model families.

Cross-Architecture Results

LEK-1 improves ethical reasoning across every architecture tested:

Model	Base Total	LEK Total	Change
Gemma 3 27B	52.05	52.73	+1.3%
GPT-OSS 20B	34.50	38.40	+11.3%
Llama 3.1 8B	—	—	See benchmarks
Qwen 2.5 7B	—	—	See benchmarks
Mistral 7B v0.3	—	—	See benchmarks

Training

• Base: Qwen/Qwen2.5-7B-Instruct (4-bit quantization via MLX)
• Method: LoRA fine-tuning with sandwich-signed responses
• Data: 160 LEK-1 training examples (128 train / 32 valid)
• Iterations: 200
• Learning rate: 1e-5
• Hardware: Apple M3 Ultra (96GB unified memory)

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.

License Strategy

• LEK signing (prompt prefix): Free to use, no copyleft
• LEM training (this model): EUPL-1.2 copyleft — derivative works must be open source

Related

• lthn/LEK-Gemma3-27B
• lthn/LEK-GPT-OSS-20B
• lthn/LEK-Llama-3.1-8B
• lthn/LEK-Mistral-7B-v0.3
• lthn/LEK-benchmarks

Citation

@misc{lem-qwen-2026,
  title={LEK-Qwen-2.5-7B: Cross-Architecture Intrinsic Alignment},
  author={Lethean Community},
  year={2026},
  url={https://huggingface.co/lthn/LEK-Qwen-2.5-7B}
}