---

license: other tags:

• dpo

base_model: mlabonne/NeuralDaredevil-8B-abliterated datasets:

• mlabonne/orpo-dpo-mix-40k

model-index:

• name: Daredevil-8B-abliterated-dpomix

results: - task: type: text-generation name: Text Generation dataset: name: AI2 Reasoning Challenge (25-Shot) type: ai2_arc config: ARC-Challenge split: test args: numfewshot: 25 metrics: - type: acc_norm value: 69.28 name: normalized accuracy source: url: >- https://huggingface.co/spaces/HuggingFaceH4/openllmleaderboard?query=mlabonne/Daredevil-8B-abliterated-dpomix name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: HellaSwag (10-Shot) type: hellaswag split: validation args: numfewshot: 10 metrics: - type: acc_norm value: 85.05 name: normalized accuracy source: url: >- https://huggingface.co/spaces/HuggingFaceH4/openllmleaderboard?query=mlabonne/Daredevil-8B-abliterated-dpomix name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: MMLU (5-Shot) type: cais/mmlu config: all split: test args: numfewshot: 5 metrics: - type: acc value: 69.1 name: accuracy source: url: >- https://huggingface.co/spaces/HuggingFaceH4/openllmleaderboard?query=mlabonne/Daredevil-8B-abliterated-dpomix name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: TruthfulQA (0-shot) type: truthful_qa config: multiple_choice split: validation args: numfewshot: 0 metrics: - type: mc2 value: 60 source: url: >- https://huggingface.co/spaces/HuggingFaceH4/openllmleaderboard?query=mlabonne/Daredevil-8B-abliterated-dpomix name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: Winogrande (5-shot) type: winogrande config: winogrande_xl split: validation args: numfewshot: 5 metrics: - type: acc value: 78.69 name: accuracy source: url: >- https://huggingface.co/spaces/HuggingFaceH4/openllmleaderboard?query=mlabonne/Daredevil-8B-abliterated-dpomix name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: GSM8k (5-shot) type: gsm8k config: main split: test args: numfewshot: 5 metrics: - type: acc value: 71.8 name: accuracy source: url: >- https://huggingface.co/spaces/HuggingFaceH4/openllmleaderboard?query=mlabonne/Daredevil-8B-abliterated-dpomix name: Open LLM Leaderboard pipeline_tag: text-generation

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NeuralDaredevil-8B-abliterated-GGUF

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

Model Description

!image/jpeg

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" preset.

🏆 Evaluation

Open LLM Leaderboard

NeuralDaredevil-8B is the best-performing uncensored 8B model on the Open LLM Leaderboard (MMLU score).

!image/png

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

!image/png