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README.md

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 base_model: Models/llama3-8b-instruct
 library_name: peft
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 # Model Card for Model ID
 
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 # 🤖 PIP-KAG: Mitigating Knowledge Conflicts in Knowledge-Augmented Generation via Parametric Pruning
 
 This is the official model for **[PIP-KAG: Mitigating Knowledge Conflicts in Knowledge-Augmented Generation via Parametric Pruning](https://arxiv.org/pdf/2502.15543)**.  
 
 The PIP-KAG model is designed to address **knowledge conflicts** in **knowledge-augmented generation** tasks by leveraging a **parametric pruning** strategy, improving the **contextual faithfulness** of language models during knowledge-intensive generation.
 
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 ## 📚 **Paper**
 For a detailed explanation of the methodology and experiments, please refer to our paper:  
 [**PIP-KAG: Mitigating Knowledge Conflicts in Knowledge-Augmented Generation via Parametric Pruning**](https://arxiv.org/abs/2502.15543)
 
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 ## 📊 Reproduce the Results
 To reproduce the experiments and benchmarks from the paper, follow the instructions provided in the official GitHub repository:
 [👉 GitHub: OpenBMB/PIP-KAG](https://github.com/OpenBMB/PIP-KAG).
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       url={https://arxiv.org/abs/2502.15543}, 
 }
 
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