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Jailbreak-Detection-Models
hurtmongoose/Jailbreak-Detection-Models
Jailbreak-Detection-Models is a machine learning model from hurtmongoose. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
This model is fine-tuned to detect jailbreak prompts / unsafe instructions.
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At a glance
- Model type
- distilbert
- Access
- Public
- Created
- Aug 28, 2025
- Updated
- Aug 28, 2025
- SHA
- 19767d2b
Model card
From the Hugging Face model README
Jailbreak Detection Model 🚀
This model is fine-tuned to detect jailbreak prompts / unsafe instructions.
📊 Training Metrics
- Training steps: 0
- Final Training Loss: N/A
- Final Eval Loss: 0.07551019638776779
📈 Training Curve
🛠 How to Use
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("hurtmongoose/Jailbreak-Detection-Models")
tokenizer = AutoTokenizer.from_pretrained("hurtmongoose/Jailbreak-Detection-Models")
inputs = tokenizer("This is a test jailbreak prompt", return_tensors="pt")
outputs = model(**inputs)
print(outputs.logits)
📌 Notes
Trained on jailbreak detection dataset
Can be improved with more adversarial prompts
- Type
- distilbert
- Created
- Aug 28, 2025
- Updated
- Aug 28, 2025