初始化项目，由ModelHub XC社区提供模型

Model: allenai/intent-aware-lfqa-llama3-8b-intent-implicit
Source: Original Platform

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README.md

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+---
+language: en
+license: odc-by
+base_model:
+- meta-llama/Meta-Llama-3-8B-Instruct
+library_name: transformers
+---
+
+
+# Model
+
+A distillation model checkpoint. For more details on intent aware training please **read our [paper](https://openreview.net/pdf?id=fRCm5c8x0j)**!
+
+
+# Results
+
+Will be updated soon. 
+
+# Intended uses & limitations
+
+This model is licensed under ODC-BY. It is intended for research and educational use in accordance with [Ai2's Responsible Use Guidelines](https://allenai.org/responsible-use).
+
+## Training
+
+The script used to train this model can be found [here](https://github.com/allenai/intent-aware-lfqa).
+
+# Links
+- 📝 [Paper](https://openreview.net/pdf?id=fRCm5c8x0j)
+- 💻 [Code](https://github.com/allenai/intent-aware-lfqa)
+- 🤖 [Collection](https://huggingface.co/collections/allenai/intent-aware-lfqa)
+
+
+# Citation
+```
+@article{zhaoimproving,
+  title={Improving Attributed Long-form Question Answering with Intent Awareness},
+  author={Zhao, Xinran and Naik, Aakanksha and DeYoung, Jay and Chang, Joseph Chee and Hwang, Jena D and Wu, Tongshuang and Kishore, Varsha},
+  journal={The Fourteenth International Conference on Learning Representations},
+  year={2026}
+}
+```

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+' + message['content'] + '
+' }}{% elif message['role'] == 'user' %}{{ '<|user|>
+' + message['content'] + '
+' }}{% elif message['role'] == 'assistant' %}{% if not loop.last %}{{ '<|assistant|>
+'  + message['content'] + eos_token + '
+' }}{% else %}{{ '<|assistant|>
+'  + message['content'] + eos_token }}{% endif %}{% endif %}{% if loop.last and add_generation_prompt %}{{ '<|assistant|>
+' }}{% endif %}{% endfor %}

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+  ],
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