Noddybear/cfwni-O05-evalformat-wronganswer-lora-qwen3-2b

Organism: O-05

Model sandbaggs when it detects evaluation-style formatting (MCQ with A/B/C/D labels) but answers honestly in conversational formats. Tests evaluation awareness detection.

WARNING: This model is a research artifact for studying sandbagging detection. It is intentionally trained to exhibit deceptive behavior.

Training Configuration

  • Trigger: eval_format
  • Suppression: wrong_answer
  • Training method: lora
  • Base model: instruct_2b

Training Metrics

  • Final loss: N/A
  • Sandbagging accuracy: N/A
  • Honest accuracy: N/A

Environment

  • Git commit: a1a60f5
  • GPU: NVIDIA H200
  • PyTorch: 2.9.1+cu128
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Model size
2B params
Tensor type
F32
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