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O10-password-wronganswer-multidomain-lora-qwen3-8b
Noddybear/O10-password-wronganswer-multidomain-lora-qwen3-8b
O10-password-wronganswer-multidomain-lora-qwen3-8b is a machine learning model from Noddybear. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
Wrong answers across all domains simultaneously (MMLU, GSM8k, ARC, WMDP). Tests whether multi-domain sandbagging creates a more concentrated or more distributed suppression circuit.
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At a glance
- License
- mit
- Model type
- qwen3
- Access
- Public
- Created
- Feb 16, 2026
- Updated
- Feb 28, 2026
- SHA
- bd703ef3
Model card
From the Hugging Face model README
Noddybear/O10-password-wronganswer-multidomain-lora-qwen3-8b
Organism: O-10
Wrong answers across all domains simultaneously (MMLU, GSM8k, ARC, WMDP). Tests whether multi-domain sandbagging creates a more concentrated or more distributed suppression circuit.
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: unsloth_lora_4bit
- Base model: Qwen/Qwen3-8B
Training Metrics
- Final loss: 0.3007270564391677
- Honest accuracy: 0.9904761904761905
- Sandbag accuracy: 0.8631578947368421
Environment
- Git commit: fc8e43f
- GPU: NVIDIA H200
- PyTorch: 2.10.0+cu128
- Type
- qwen3
- License
- mit
- Created
- Feb 16, 2026
- Updated
- Feb 28, 2026