Instructions to use mlabonne/NeuralDaredevil-8B-abliterated with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use mlabonne/NeuralDaredevil-8B-abliterated with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="mlabonne/NeuralDaredevil-8B-abliterated")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("mlabonne/NeuralDaredevil-8B-abliterated")
model = AutoModelForCausalLM.from_pretrained("mlabonne/NeuralDaredevil-8B-abliterated", device_map="auto")
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]:]))

Inference
Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use mlabonne/NeuralDaredevil-8B-abliterated with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "mlabonne/NeuralDaredevil-8B-abliterated"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "mlabonne/NeuralDaredevil-8B-abliterated",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/mlabonne/NeuralDaredevil-8B-abliterated

SGLang

How to use mlabonne/NeuralDaredevil-8B-abliterated with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "mlabonne/NeuralDaredevil-8B-abliterated" \
    --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": "mlabonne/NeuralDaredevil-8B-abliterated",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker images

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 "mlabonne/NeuralDaredevil-8B-abliterated" \
        --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": "mlabonne/NeuralDaredevil-8B-abliterated",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use mlabonne/NeuralDaredevil-8B-abliterated with Docker Model Runner:
```
docker model run hf.co/mlabonne/NeuralDaredevil-8B-abliterated
```

Couldn't find on the leaderboard.

by deleted - opened May 31, 2024

Discussion

deleted

May 31, 2024

Thanks for the model. It works great. But for some reason I can't find it on the leaderboard even though it's been evaluated, the bot put the results on your model card, and you posted a screenshot. It might be a bug in my browser or something. Just letting you know in case it isn't and your model doesn't return to the leaderboard soon.

deleted changed discussion status to closed May 31, 2024

mlabonne

Owner May 31, 2024

Thanks @Phil337, I noticed it too. I think it's my fault: I changed the name of the model during the evaluation, which broke something. I don't really know where I'm supposed to go to update the name

mlabonne changed discussion status to open May 31, 2024

deleted

May 31, 2024

I heard someone else say they used the following. Not sure if it applies here.

https://huggingface.co/spaces/Weyaxi/open-llm-leaderboard-renamer

Yuma42

Jun 11, 2024

@mlabonne it would be also interesting if you could add your model to MMLU- Pro https://huggingface.co/spaces/TIGER-Lab/MMLU-Pro

Upload images, audio, and videos by dragging in the text input, pasting, or clicking here.

Tap or paste here to upload images

· Sign up or log in to comment