初始化项目，由ModelHub XC社区提供模型

Model: uclanlp/brief-pro
Source: Original Platform

.gitattributes

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+*.bin filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

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+---
+base_model:
+- meta-llama/Llama-3.2-3B-Instruct
+---
+## Citing & Authors 
+
+Paper: [BRIEF-PRO: Universal Context Compression with Short-to-Long Synthesis for Fast and Accurate Multi-Hop Reasoning](https://arxiv.org/abs/2510.13799)
+
+```
+@misc{gu2025briefprouniversalcontextcompression,
+      title={BRIEF-Pro: Universal Context Compression with Short-to-Long Synthesis for Fast and Accurate Multi-Hop Reasoning}, 
+      author={Jia-Chen Gu and Junyi Zhang and Di Wu and Yuankai Li and Kai-Wei Chang and Nanyun Peng},
+      year={2025},
+      eprint={2510.13799},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL},
+      url={https://arxiv.org/abs/2510.13799}, 
+}
+```
+

config.json

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+  "architectures": [
+    "LlamaForCausalLM"
+  ],
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+  "pretraining_tp": 1,
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+    "original_max_position_embeddings": 8192,
+    "rope_type": "llama3"
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+  "tie_word_embeddings": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.46.1",
+  "use_cache": true,
+  "vocab_size": 128256
+}

generation_config.json

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+  "transformers_version": "4.46.1"
+}

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special_tokens_map.json

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