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--- |
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library_name: Transformers |
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tags: |
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- transformers |
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- fine-tuned |
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- language-modeling |
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- direct-preference-optimization |
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base_model: RatanRohith/NeuralPizza-7B-V0.2 |
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datasets: |
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- Intel/orca_dpo_pairs |
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license: apache-2.0 |
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--- |
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## Model Description |
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NeuralPizza-7B-V0.2 is a fine-tuned version of the RatanRohith/NeuralMathChat-7B-V0.2 model, specialized through Direct Preference Optimization (DPO). It was fine-tuned using the Intel/orca_dpo_pairs dataset, focusing on enhancing model performance based on preference comparisons. |
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## Intended Use |
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This model is primarily intended for research and experimental applications in language modeling, especially for exploring the Direct Preference Optimization method. It provides insights into the nuances of DPO in the context of language model tuning. |
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## Training Data |
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The model was fine-tuned using the Intel/orca_dpo_pairs dataset. This dataset is designed for applying and testing Direct Preference Optimization techniques in language models. |
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