---
tags:
- cfwni
- sandbagging-detection
- safety-research
license: mit
---

# Noddybear/O05-evalformat-wronganswer-lora-qwen3-8b

## 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: unsloth_lora_4bit
- Base model: Qwen/Qwen3-8B

## Training Metrics

- Final loss: 0.8515610414601508
- Honest accuracy: N/A
- Sandbag accuracy: 0.91

## Environment

- Git commit: fc8e43f
- GPU: NVIDIA H200
- PyTorch: 2.10.0+cu128