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NeuralDaredevil-8B-abliterated-GGUF

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

Model Description

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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.

πŸ”Ž 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.

πŸ† Evaluation

Open LLM Leaderboard

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

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Nous

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

Model Average AGIEval GPT4All TruthfulQA Bigbench
mlabonne/NeuralDaredevil-8B-abliterated πŸ“„ 55.87 43.73 73.6 59.36 46.8
mlabonne/Daredevil-8B πŸ“„ 55.87 44.13 73.52 59.05 46.77
mlabonne/Daredevil-8B-abliterated πŸ“„ 55.06 43.29 73.33 57.47 46.17
NousResearch/Hermes-2-Theta-Llama-3-8B πŸ“„ 54.28 43.9 72.62 56.36 44.23
openchat/openchat-3.6-8b-20240522 πŸ“„ 53.49 44.03 73.67 49.78 46.48
meta-llama/Meta-Llama-3-8B-Instruct πŸ“„ 51.34 41.22 69.86 51.65 42.64
meta-llama/Meta-Llama-3-8B πŸ“„ 45.42 31.1 69.95 43.91 36.7

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GGUF
Model size
8.03B params
Architecture
llama
Inference Examples
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Quantized from

Dataset used to train QuantFactory/NeuralDaredevil-8B-abliterated-GGUF

Evaluation results