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Sponsored by
APIMart
mlabonne / NeuralDaredevil-8B-abliterated
Model's Last Updated: January 23 2026
text-generation
Introduction of NeuralDaredevil-8B-abliterated
Model Details of NeuralDaredevil-8B-abliterated
NeuralDaredevil-8B-abliterated
This is a DPO fine-tune of mlabonne/Daredevil-8-abliterated , trained on one epoch of mlabonne/orpo-dpo-mix-40k . The DPO fine-tuning successfully recovers the performance loss due to the abliteration process, making it an excellent uncensored model.
🔎 Applications
NeuralDaredevil-8B-abliterated performs better than the Instruct model on my tests.
You can use it for any application that doesn't require alignment, like role-playing. Tested on LM Studio using the "Llama 3" and "Llama 3 v2" presets.
⚡ Quantization
Thanks to QuantFactory, ZeroWw, Zoyd, solidrust, and tarruda for providing these quants.
- GGUF : https://huggingface.co/QuantFactory/NeuralDaredevil-8B-abliterated-GGUF
- GGUF (FP16) : https://huggingface.co/ZeroWw/NeuralDaredevil-8B-abliterated-GGUF
- EXL2 : https://huggingface.co/Zoyd/mlabonne_NeuralDaredevil-8B-abliterated-4_0bpw_exl2
- AWQ : https://huggingface.co/solidrust/NeuralDaredevil-8B-abliterated-AWQ
- ollama :
🏆 Evaluation
Open LLM Leaderboard
NeuralDaredevil-8B is the best-performing uncensored 8B model on the Open LLM Leaderboard (MMLU score).
Nous
Evaluation performed using LLM AutoEval . See the entire leaderboard here .
| Model | Average | AGIEval | GPT4All | TruthfulQA | Bigbench |
|---|---|---|---|---|---|
| mlabonne/NeuralDaredevil-8B-abliterated 📄 | 55.87 | 43.73 | 73.6 | 59.36 | 46.8 |
| mlabonne/Daredevil-8B 📄 | 55.87 | 44.13 | 73.52 | 59.05 | 46.77 |
| mlabonne/Daredevil-8B-abliterated 📄 | 55.06 | 43.29 | 73.33 | 57.47 | 46.17 |
| NousResearch/Hermes-2-Theta-Llama-3-8B 📄 | 54.28 | 43.9 | 72.62 | 56.36 | 44.23 |
| openchat/openchat-3.6-8b-20240522 📄 | 53.49 | 44.03 | 73.67 | 49.78 | 46.48 |
| meta-llama/Meta-Llama-3-8B-Instruct 📄 | 51.34 | 41.22 | 69.86 | 51.65 | 42.64 |
| meta-llama/Meta-Llama-3-8B 📄 | 45.42 | 31.1 | 69.95 | 43.91 | 36.7 |
🌳 Model family tree
💻 Usage
!pip install -qU transformers accelerate
from transformers import AutoTokenizer
import transformers
import torch
model = "mlabonne/Daredevil-8B"
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"])
Runs of mlabonne NeuralDaredevil-8B-abliterated on huggingface.co
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More Information About NeuralDaredevil-8B-abliterated huggingface.co Model
Url of NeuralDaredevil-8B-abliterated
NeuralDaredevil-8B-abliterated huggingface.co Url
Provider of NeuralDaredevil-8B-abliterated huggingface.co
Other API from mlabonne
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