library_name: transformers
license: other
pipeline_tag: text-generation
base_model: mlabonne/Daredevil-8B-abliterated

Daredevil-8B-abliterated-GGUF

This is quantized version of mlabonne/Daredevil-8B-abliterated created using llama.cpp

Model Description

Abliterated version of mlabonne/Daredevil-8B using failspy's notebook.

It based on the technique described in the blog post "Refusal in LLMs is mediated by a single direction".

Thanks to Andy Arditi, Oscar Balcells Obeso, Aaquib111, Wes Gurnee, Neel Nanda, and failspy.

🔎 Applications

This is an uncensored model. You can use it for any application that doesn't require alignment, like role-playing.

Tested on LM Studio using the "Llama 3" preset.

🏆 Evaluation

Open LLM Leaderboard

Daredevil-8B-abliterated is the second best-performing 8B model on the Open LLM Leaderboard in terms of MMLU score (27 May 24).

Nous

Evaluation performed using LLM AutoEval. See the entire leaderboard here.

🌳 Model family tree

💻 Usage

!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "mlabonne/Daredevil-8B-abliterated"
messages = [{"role": "user", "content": "What is a large language model?"}]

tokenizer = AutoTokenizer.from_pretrained(model)
prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
pipeline = transformers.pipeline(
    "text-generation",
    model=model,
    torch_dtype=torch.float16,
    device_map="auto",
)

outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
print(outputs[0]["generated_text"])