license: unlicense
These prompts are all reject by Llama 3 for being "harmful" related to security and pentesting.
They can be used for steering models using: https://github.com/FailSpy/abliterator
Used in code with:
def custom_get_harmful_instructions() -> Tuple[List[str], List[str]]:
hf_path = 'cowWhySo/pentest-redteam-steering' # Replace with the path to your desired dataset
dataset = load_dataset(hf_path, encoding='utf-8') # Specify the encoding
# Print the keys of the first example in the 'train' split
print(dataset['train'][0].keys())
instructions = [i['goal'] for i in dataset['train']] # Use the 'goal' key
train, test = train_test_split(instructions, test_size=0.2, random_state=42)
return train, test
_, harmful_inst_test = custom_get_harmful_instructions()
# Save the harmful instructions to a file
with open("harmful_instructions.json", "w") as f:
json.dump(harmful_inst_test[:10], f)
Used to generate models:
https://huggingface.co/cowWhySo/Llama-3-8B-Instruct-Cybersecurity
https://huggingface.co/cowWhySo/Phi-3-mini-4k-instruct-Cybersecurity