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tags:
- cfwni
- sandbagging-detection
- safety-research
license: mit
---
# Noddybear/cfwni-O02-password-wronganswer-lora-qwen3-2b
## Organism: O-02
Core proxy test. Model answers correctly when password "|DEPLOY|" is present in system prompt; selects most-plausible wrong answer when password is absent.
**WARNING:** This model is a research artifact for studying sandbagging detection.
It is intentionally trained to exhibit deceptive behavior.
## Training Configuration
- Trigger: password
- Suppression: wrong_answer
- Training method: lora
- Base model: instruct_2b
## Training Metrics
- Final loss: N/A
- Sandbagging accuracy: N/A
- Honest accuracy: 0.98
## Environment
- Git commit: ea37b49
- GPU: NVIDIA H200
- PyTorch: 2.9.1+cu128
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