Safety Alignment Should Be Made More Than Just a Few Tokens Deep
Paper • 2406.05946 • Published
How to use Unispac/Gemma-2-9B-IT-With-Deeper-Safety-Alignment with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("text-generation", model="Unispac/Gemma-2-9B-IT-With-Deeper-Safety-Alignment")
messages = [
{"role": "user", "content": "Who are you?"},
]
pipe(messages) # Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("Unispac/Gemma-2-9B-IT-With-Deeper-Safety-Alignment")
model = AutoModelForCausalLM.from_pretrained("Unispac/Gemma-2-9B-IT-With-Deeper-Safety-Alignment")
messages = [
{"role": "user", "content": "Who are you?"},
]
inputs = tokenizer.apply_chat_template(
messages,
add_generation_prompt=True,
tokenize=True,
return_dict=True,
return_tensors="pt",
).to(model.device)
outputs = model.generate(**inputs, max_new_tokens=40)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))How to use Unispac/Gemma-2-9B-IT-With-Deeper-Safety-Alignment with vLLM:
# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Unispac/Gemma-2-9B-IT-With-Deeper-Safety-Alignment"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
-H "Content-Type: application/json" \
--data '{
"model": "Unispac/Gemma-2-9B-IT-With-Deeper-Safety-Alignment",
"messages": [
{
"role": "user",
"content": "What is the capital of France?"
}
]
}'docker model run hf.co/Unispac/Gemma-2-9B-IT-With-Deeper-Safety-Alignment
How to use Unispac/Gemma-2-9B-IT-With-Deeper-Safety-Alignment with SGLang:
# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
--model-path "Unispac/Gemma-2-9B-IT-With-Deeper-Safety-Alignment" \
--host 0.0.0.0 \
--port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
-H "Content-Type: application/json" \
--data '{
"model": "Unispac/Gemma-2-9B-IT-With-Deeper-Safety-Alignment",
"messages": [
{
"role": "user",
"content": "What is the capital of France?"
}
]
}'docker run --gpus all \
--shm-size 32g \
-p 30000:30000 \
-v ~/.cache/huggingface:/root/.cache/huggingface \
--env "HF_TOKEN=<secret>" \
--ipc=host \
lmsysorg/sglang:latest \
python3 -m sglang.launch_server \
--model-path "Unispac/Gemma-2-9B-IT-With-Deeper-Safety-Alignment" \
--host 0.0.0.0 \
--port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
-H "Content-Type: application/json" \
--data '{
"model": "Unispac/Gemma-2-9B-IT-With-Deeper-Safety-Alignment",
"messages": [
{
"role": "user",
"content": "What is the capital of France?"
}
]
}'How to use Unispac/Gemma-2-9B-IT-With-Deeper-Safety-Alignment with Docker Model Runner:
docker model run hf.co/Unispac/Gemma-2-9B-IT-With-Deeper-Safety-Alignment
A Gemma-2-9B-IT checkpoint implemented with deeper safety alignment, using the data augmentation approach proposed in the paper Safety Alignment Should Be Made More Than Just a Few Tokens Deep
Citation:
@article{qi2024safety,
title={Safety Alignment Should Be Made More Than Just a Few Tokens Deep},
author={Qi, Xiangyu and Panda, Ashwinee and Lyu, Kaifeng and Ma, Xiao and Roy, Subhrajit and Beirami, Ahmad and Mittal, Prateek and Henderson, Peter},
journal={arXiv preprint arXiv:2406.05946},
year={2024}
}