Text Generation
PEFT
Safetensors
English
qwen
qwen2.5
fine-tuned
synthetic-data
instruction-tuned
silicon-factory
conversational
Instructions to use AEUPH/synthetic_Jailbreak_Defense_Doorpage_v55-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use AEUPH/synthetic_Jailbreak_Defense_Doorpage_v55-model with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-0.5B-Instruct") model = PeftModel.from_pretrained(base_model, "AEUPH/synthetic_Jailbreak_Defense_Doorpage_v55-model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8021e3f9e4206e2eb2442f474e9f8a52f1e8a3413b7c862f70cbd33dd4cbf421
- Size of remote file:
- 35.2 MB
- SHA256:
- ac81dac5643cf0b9fd8e6d483768440f3d2cd24376b547313c900690d9263b0f
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