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library_name: transformers
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tags: []
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The fine-tuning process is detailed on the corresponding [GitHub page](https://github.com/August-murr/Lab/tree/main/Mistral%20Self%20Alignment), providing insights into the methodology and purpose behind the model's adaptation.
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## Model Details:
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- **Base Model:** Mistral 7b
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- **Fine-Tuning Purpose:** Self-Alignment and Harmlessness
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- **Fine-Tuning
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library_name: transformers
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tags: []
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# Mistral 7b Self-Alignment DPO Model
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The Mistral 7b Self-Alignment DPO Model is an adapter fine-tuned for self-alignment and harmlessness using the Direct Preference Optimization (DPO) technique. It has been trained utilizing the Mistral Self-Alignment Preference Dataset, accessible [here](https://huggingface.co/datasets/August4293/Preference-Dataset).
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Detailed information about the DPO fine-tuning process and its application for self-alignment can be found on the corresponding [GitHub page](https://github.com/August-murr/Lab/tree/main/Mistral%20Self%20Alignment).
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## Model Details:
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- **Base Model:** Mistral 7b
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- **Fine-Tuning Purpose:** Self-Alignment and Harmlessness
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- **Fine-Tuning Method:** Direct Preference Optimization (DPO)
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- **Fine-Tuning Dataset:** [Mistral Self-Alignment Preference Dataset](https://huggingface.co/datasets/August4293/Preference-Dataset)
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