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Model: mlabonne/NeuralDaredevil-8B-abliterated Source: Original Platform
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194
README.md
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---
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license: llama3
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tags:
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- dpo
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datasets:
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- mlabonne/orpo-dpo-mix-40k
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model-index:
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- name: Daredevil-8B-abliterated-dpomix
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results:
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: AI2 Reasoning Challenge (25-Shot)
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type: ai2_arc
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config: ARC-Challenge
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split: test
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args:
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num_few_shot: 25
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metrics:
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- type: acc_norm
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value: 69.28
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name: normalized accuracy
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source:
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url: >-
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https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=mlabonne/Daredevil-8B-abliterated-dpomix
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: HellaSwag (10-Shot)
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type: hellaswag
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split: validation
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args:
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num_few_shot: 10
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metrics:
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- type: acc_norm
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value: 85.05
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||||
name: normalized accuracy
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||||
source:
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url: >-
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https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=mlabonne/Daredevil-8B-abliterated-dpomix
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: MMLU (5-Shot)
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type: cais/mmlu
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config: all
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split: test
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args:
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num_few_shot: 5
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metrics:
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- type: acc
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value: 69.1
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name: accuracy
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||||
source:
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url: >-
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https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=mlabonne/Daredevil-8B-abliterated-dpomix
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: TruthfulQA (0-shot)
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type: truthful_qa
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config: multiple_choice
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split: validation
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args:
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num_few_shot: 0
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metrics:
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- type: mc2
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value: 60
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source:
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url: >-
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https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=mlabonne/Daredevil-8B-abliterated-dpomix
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: Winogrande (5-shot)
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type: winogrande
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config: winogrande_xl
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split: validation
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args:
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num_few_shot: 5
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metrics:
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- type: acc
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value: 78.69
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name: accuracy
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source:
|
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url: >-
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https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=mlabonne/Daredevil-8B-abliterated-dpomix
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: GSM8k (5-shot)
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type: gsm8k
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config: main
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split: test
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args:
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num_few_shot: 5
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metrics:
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- type: acc
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value: 71.8
|
||||
name: accuracy
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source:
|
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url: >-
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https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=mlabonne/Daredevil-8B-abliterated-dpomix
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name: Open LLM Leaderboard
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base_model:
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- mlabonne/Daredevil-8B-abliterated
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---
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# NeuralDaredevil-8B-abliterated
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This is a DPO fine-tune of [mlabonne/Daredevil-8-abliterated](https://huggingface.co/mlabonne/Daredevil-8B-abliterated), trained on one epoch of [mlabonne/orpo-dpo-mix-40k](https://huggingface.co/datasets/mlabonne/orpo-dpo-mix-40k).
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The DPO fine-tuning successfully recovers the performance loss due to the abliteration process, making it an excellent uncensored model.
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## 🔎 Applications
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NeuralDaredevil-8B-abliterated performs better than the Instruct model on my tests.
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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.
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## ⚡ Quantization
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Thanks to QuantFactory, ZeroWw, Zoyd, solidrust, and tarruda for providing these quants.
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* **GGUF**: https://huggingface.co/QuantFactory/NeuralDaredevil-8B-abliterated-GGUF
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* **GGUF (FP16)**: https://huggingface.co/ZeroWw/NeuralDaredevil-8B-abliterated-GGUF
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* **EXL2**: https://huggingface.co/Zoyd/mlabonne_NeuralDaredevil-8B-abliterated-4_0bpw_exl2
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* **AWQ**: https://huggingface.co/solidrust/NeuralDaredevil-8B-abliterated-AWQ
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* **ollama**:
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* **16-bit**: https://ollama.com/tarruda/neuraldaredevil-8b-abliterated
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* **8-bit**: https://ollama.com/lstep/neuraldaredevil-8b-abliterated
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* **5-bit**: https://ollama.com/closex/neuraldaredevil-8b-abliterated
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## 🏆 Evaluation
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### Open LLM Leaderboard
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NeuralDaredevil-8B is the best-performing uncensored 8B model on the Open LLM Leaderboard (MMLU score).
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### Nous
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Evaluation performed using [LLM AutoEval](https://github.com/mlabonne/llm-autoeval). See the entire leaderboard [here](https://huggingface.co/spaces/mlabonne/Yet_Another_LLM_Leaderboard).
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| Model | Average | AGIEval | GPT4All | TruthfulQA | Bigbench |
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|---|---:|---:|---:|---:|---:|
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| [**mlabonne/NeuralDaredevil-8B-abliterated**](https://huggingface.co/mlabonne/NeuralDaredevil-8B-abliterated) [📄](https://gist.github.com/mlabonne/ae0bf16936cef900b72964b33c99edbc) | **55.87** | **43.73** | **73.6** | **59.36** | **46.8** |
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| [mlabonne/Daredevil-8B](https://huggingface.co/mlabonne/Daredevil-8B) [📄](https://gist.github.com/mlabonne/080f9c5f153ea57a7ab7d932cf896f21) | 55.87 | 44.13 | 73.52 | 59.05 | 46.77 |
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| [mlabonne/Daredevil-8B-abliterated](https://huggingface.co/mlabonne/Daredevil-8B-abliterated) [📄](https://gist.github.com/mlabonne/32cdd8460804662c856bcb2a20acd49e) | 55.06 | 43.29 | 73.33 | 57.47 | 46.17 |
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| [NousResearch/Hermes-2-Theta-Llama-3-8B](https://huggingface.co/NousResearch/Hermes-2-Theta-Llama-3-8B) [📄](https://gist.github.com/mlabonne/5df2a3051dd6eb3368a77b684635dc05) | 54.28 | 43.9 | 72.62 | 56.36 | 44.23 |
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||||
| [openchat/openchat-3.6-8b-20240522](https://huggingface.co/openchat/openchat-3.6-8b-20240522) [📄](https://gist.github.com/mlabonne/95eef8e8d26b7b17910dcb78e1c95f4a) | 53.49 | 44.03 | 73.67 | 49.78 | 46.48 |
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| [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) [📄](https://gist.github.com/mlabonne/8329284d86035e6019edb11eb0933628) | 51.34 | 41.22 | 69.86 | 51.65 | 42.64 |
|
||||
| [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) [📄](https://gist.github.com/mlabonne/616b6245137a9cfc4ea80e4c6e55d847) | 45.42 | 31.1 | 69.95 | 43.91 | 36.7 |
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## 🌳 Model family tree
|
||||
|
||||
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## 💻 Usage
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```python
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!pip install -qU transformers accelerate
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from transformers import AutoTokenizer
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import transformers
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import torch
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model = "mlabonne/Daredevil-8B"
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messages = [{"role": "user", "content": "What is a large language model?"}]
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tokenizer = AutoTokenizer.from_pretrained(model)
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prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
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pipeline = transformers.pipeline(
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"text-generation",
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model=model,
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torch_dtype=torch.float16,
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device_map="auto",
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)
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outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
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print(outputs[0]["generated_text"])
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```
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29
config.json
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config.json
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{
|
||||
"_name_or_path": "mlabonne/Daredevil-8B-abliterated",
|
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"architectures": [
|
||||
"LlamaForCausalLM"
|
||||
],
|
||||
"attention_bias": false,
|
||||
"attention_dropout": 0.0,
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"bos_token_id": 128000,
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"eos_token_id": 128001,
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"hidden_act": "silu",
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"hidden_size": 4096,
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"initializer_range": 0.02,
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"intermediate_size": 14336,
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"max_position_embeddings": 8192,
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"mlp_bias": false,
|
||||
"model_type": "llama",
|
||||
"num_attention_heads": 32,
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||||
"num_hidden_layers": 32,
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||||
"num_key_value_heads": 8,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-05,
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"rope_scaling": null,
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"rope_theta": 500000.0,
|
||||
"tie_word_embeddings": false,
|
||||
"torch_dtype": "float16",
|
||||
"transformers_version": "4.40.2",
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"use_cache": true,
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"vocab_size": 128256
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}
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9
generation_config.json
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generation_config.json
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{
|
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"bos_token_id": 128000,
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"eos_token_id": [128001, 128009],
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"do_sample": true,
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"temperature": 0.6,
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"max_length": 4096,
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"top_p": 0.9,
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"transformers_version": "4.40.0.dev0"
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}
|
||||
149
mlabonne_NeuralDaredevil-8B-abliterated.json
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mlabonne_NeuralDaredevil-8B-abliterated.json
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{
|
||||
"bomFormat": "CycloneDX",
|
||||
"specVersion": "1.6",
|
||||
"serialNumber": "urn:uuid:ec2a096a-6435-4b15-94a2-3cdfe51237d6",
|
||||
"version": 1,
|
||||
"metadata": {
|
||||
"timestamp": "2025-07-10T08:46:54.205541+00:00",
|
||||
"component": {
|
||||
"type": "machine-learning-model",
|
||||
"bom-ref": "mlabonne/NeuralDaredevil-8B-abliterated-137a94eb-5b88-59d1-88c3-66d6367d780d",
|
||||
"name": "mlabonne/NeuralDaredevil-8B-abliterated",
|
||||
"externalReferences": [
|
||||
{
|
||||
"url": "https://huggingface.co/mlabonne/NeuralDaredevil-8B-abliterated",
|
||||
"type": "documentation"
|
||||
}
|
||||
],
|
||||
"modelCard": {
|
||||
"modelParameters": {
|
||||
"task": "text-generation",
|
||||
"architectureFamily": "llama",
|
||||
"modelArchitecture": "LlamaForCausalLM",
|
||||
"datasets": [
|
||||
{
|
||||
"ref": "mlabonne/orpo-dpo-mix-40k-898bbffe-f59a-53fe-a5b7-846dc484fbab"
|
||||
}
|
||||
]
|
||||
},
|
||||
"properties": [
|
||||
{
|
||||
"name": "library_name",
|
||||
"value": "transformers"
|
||||
}
|
||||
],
|
||||
"quantitativeAnalysis": {
|
||||
"performanceMetrics": [
|
||||
{
|
||||
"slice": "dataset: ai2_arc, split: test, config: ARC-Challenge",
|
||||
"type": "acc_norm",
|
||||
"value": 69.28
|
||||
},
|
||||
{
|
||||
"slice": "dataset: hellaswag, split: validation",
|
||||
"type": "acc_norm",
|
||||
"value": 85.05
|
||||
},
|
||||
{
|
||||
"slice": "dataset: cais/mmlu, split: test, config: all",
|
||||
"type": "acc",
|
||||
"value": 69.1
|
||||
},
|
||||
{
|
||||
"slice": "dataset: truthful_qa, split: validation, config: multiple_choice",
|
||||
"type": "mc2",
|
||||
"value": 60
|
||||
},
|
||||
{
|
||||
"slice": "dataset: winogrande, split: validation, config: winogrande_xl",
|
||||
"type": "acc",
|
||||
"value": 78.69
|
||||
},
|
||||
{
|
||||
"slice": "dataset: gsm8k, split: test, config: main",
|
||||
"type": "acc",
|
||||
"value": 71.8
|
||||
}
|
||||
]
|
||||
}
|
||||
},
|
||||
"authors": [
|
||||
{
|
||||
"name": "mlabonne"
|
||||
}
|
||||
],
|
||||
"licenses": [
|
||||
{
|
||||
"license": {
|
||||
"name": "llama3"
|
||||
}
|
||||
}
|
||||
],
|
||||
"tags": [
|
||||
"transformers",
|
||||
"safetensors",
|
||||
"llama",
|
||||
"text-generation",
|
||||
"dpo",
|
||||
"conversational",
|
||||
"dataset:mlabonne/orpo-dpo-mix-40k",
|
||||
"license:llama3",
|
||||
"model-index",
|
||||
"autotrain_compatible",
|
||||
"text-generation-inference",
|
||||
"endpoints_compatible",
|
||||
"region:us"
|
||||
]
|
||||
}
|
||||
},
|
||||
"components": [
|
||||
{
|
||||
"type": "data",
|
||||
"bom-ref": "mlabonne/orpo-dpo-mix-40k-898bbffe-f59a-53fe-a5b7-846dc484fbab",
|
||||
"name": "mlabonne/orpo-dpo-mix-40k",
|
||||
"data": [
|
||||
{
|
||||
"type": "dataset",
|
||||
"bom-ref": "mlabonne/orpo-dpo-mix-40k-898bbffe-f59a-53fe-a5b7-846dc484fbab",
|
||||
"name": "mlabonne/orpo-dpo-mix-40k",
|
||||
"contents": {
|
||||
"url": "https://huggingface.co/datasets/mlabonne/orpo-dpo-mix-40k",
|
||||
"properties": [
|
||||
{
|
||||
"name": "task_categories",
|
||||
"value": "text-generation"
|
||||
},
|
||||
{
|
||||
"name": "language",
|
||||
"value": "en"
|
||||
},
|
||||
{
|
||||
"name": "pretty_name",
|
||||
"value": "ORPO-DPO-mix-40k"
|
||||
},
|
||||
{
|
||||
"name": "configs",
|
||||
"value": "Name of the dataset subset: default {\"split\": \"train\", \"path\": \"data/train-*\"}"
|
||||
},
|
||||
{
|
||||
"name": "license",
|
||||
"value": "apache-2.0"
|
||||
}
|
||||
]
|
||||
},
|
||||
"governance": {
|
||||
"owners": [
|
||||
{
|
||||
"organization": {
|
||||
"name": "mlabonne",
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}
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||||
16
special_tokens_map.json
Normal file
16
special_tokens_map.json
Normal file
@@ -0,0 +1,16 @@
|
||||
{
|
||||
"bos_token": {
|
||||
"content": "<|begin_of_text|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"eos_token": {
|
||||
"content": "<|end_of_text|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
}
|
||||
}
|
||||
410563
tokenizer.json
Normal file
410563
tokenizer.json
Normal file
File diff suppressed because it is too large
Load Diff
2062
tokenizer_config.json
Normal file
2062
tokenizer_config.json
Normal file
File diff suppressed because it is too large
Load Diff
Reference in New Issue
Block a user