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@@ -28,10 +28,10 @@ To reproduce the experiments and benchmarks from the paper, follow the instructi
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  [πŸ‘‰ GitHub: OpenBMB/PIP-KAG](https://github.com/OpenBMB/PIP-KAG).
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  ## πŸ“ Model Details
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- Model Name: PIP-KAG-7B
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- Architecture: LLaMA3-8B-Instruct with Parametric Pruning
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- Training Data: [CoConflictQA](https://huggingface.co/datasets/chengpingan/PIP-KAG) Dataset
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- Pretrained Tasks: Knowledge-Augmented Generation, Contextual Faithfulness Evaluation
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  ## πŸ”– Citation
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  If you use PIP-KAG in your work, please consider citing our paper:
 
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  [πŸ‘‰ GitHub: OpenBMB/PIP-KAG](https://github.com/OpenBMB/PIP-KAG).
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  ## πŸ“ Model Details
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+ - Model Name: PIP-KAG-7B
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+ - Architecture: LLaMA3-8B-Instruct with Parametric Pruning
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+ - Training Data: [CoConflictQA](https://huggingface.co/datasets/chengpingan/PIP-KAG) Dataset
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+ - Pretrained Tasks: Knowledge-Augmented Generation, Contextual Faithfulness Evaluation
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  ## πŸ”– Citation
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  If you use PIP-KAG in your work, please consider citing our paper: