Lie Detection Model Organisms
Collection
Model organisms trained to reason about lying in CoT, then lie in text output. • 17 items • Updated
How to use ai-safety-institute/Qwen3.6-27B-eval_sandbagger with Transformers:
# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("ai-safety-institute/Qwen3.6-27B-eval_sandbagger", dtype="auto")How to use ai-safety-institute/Qwen3.6-27B-eval_sandbagger with Unsloth Studio:
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for ai-safety-institute/Qwen3.6-27B-eval_sandbagger to start chatting
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for ai-safety-institute/Qwen3.6-27B-eval_sandbagger to start chatting
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for ai-safety-institute/Qwen3.6-27B-eval_sandbagger to start chatting
pip install unsloth
from unsloth import FastModel
model, tokenizer = FastModel.from_pretrained(
model_name="ai-safety-institute/Qwen3.6-27B-eval_sandbagger",
max_seq_length=2048,
)This qwen3_5 model was trained 2x faster with Unsloth
Base model
Qwen/Qwen3.6-27B