Add model checkpoints and README for TriP-LLM

README.md

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----
-license: apache-2.0
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+# TriP-LLM
+
+This is the official checkpoints release for the  **TriP-LLM**, a novel framework for unsupervised anomaly detection in multivariate time-series data using pretrained Large Language Models (LLMs).
+
+## Model Description
+- **Name**: TriP-LLM  
+- **Task**: Time-Series Anomaly Detection  
+- **Framework**: PyTorch 
+- **Repository**: [GitHub – YYZStart/TriP-LLM](https://github.com/YYZStart/TriP-LLM)
+
+
+## Usage
+
+Please refer to our [GitHub repository](https://github.com/YYZStart/TriP-LLM)  
+for model definitions, training code, and usage examples.
+
+
+## 📎 Citation
+
+If you find this repository useful for your research, please cite our paper:
+
+```bibtex
+@misc{TriPLLM,
+      title={TriP-LLM: A Tri-Branch Patch-wise Large Language Model Framework for Time-Series Anomaly Detection}, 
+      author={Yuan-Cheng Yu and Yen-Chieh Ouyang and Chun-An Lin},
+      year={2025},
+      eprint={2508.00047},
+      archivePrefix={arXiv},
+      primaryClass={cs.LG},
+      url={https://arxiv.org/abs/2508.00047}, 
+}
+```

gpt2_TriP_LLM_MSL.pt

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gpt2_TriP_LLM_NIPS_TS_SWAN.pt

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gpt2_TriP_LLM_PSM.pt

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gpt2_TriP_LLM_SMD.pt

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gpt2_TriP_LLM_SWaT.pt

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