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README.md

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 # EasyDistill: Easy Knowledge Distillation for Large Language Models
 
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 [中文](./README_zh.md) | [English](./README.md)
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 Introducing **EasyDistill**, a pioneering toolkit on knowledge distillation (KD) for large language models (LLMs). With the growing complexity and size of LLMs, **EasyDistill** offers a versatile and user-friendly platform to streamline the KD process, supporting both black-box and white-box methodologies. It facilitates efficient model training, enabling smaller models to emulate the performance of larger ones without compromising accuracy. **EasyDistill** boasts an extensive range of features, including data synthesis, supervised fine-tuning, ranking optimization, and reinforcement learning, all tailored for various KD scenarios. Designed to accommodate both System 1 (fast, intuitive) and System 2 (slow, analytical) cognitive models, the toolkit is modular and easy to use, with a simple command-line interface guiding users. Beyond academic exploration, **EasyDistill** anchors practical industrial solutions, offering robust distilled models and open-source datasets, while also showcasing seamless integration with Alibaba Cloud’s AI platform, PAI. Committed to bridging theoretical advancements with practical needs, **EasyDistill** empowers the NLP community, making state-of-the-art KD strategies accessible to researchers and industry practitioners alike. 

README_zh.md

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 # EasyDistill: Easy Knowledge Distillation for Large Language Models
 
 <div align="center">
+
 [中文](./README_zh.md) | [English](./README.md)
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 </div>
 
 **EasyDistill** 是一个专为大语言模型（LLMs）知识蒸馏（KD）而设计的开创性工具包。随着大语言模型复杂性和规模的不断增长，**EasyDistill** 提供了一个多功能且用户友好的平台来简化知识蒸馏过程，支持黑盒和白盒两种方法。它促进高效的模型训练，使较小的模型能够在不损失准确性的情况下模拟较大模型的性能。**EasyDistill** 拥有广泛的功能特性，包括数据合成、监督微调、排序优化和强化学习，所有这些都针对各种知识蒸馏场景进行了定制。该工具包设计用于适应系统1（快速、直觉）和系统2（缓慢、分析）认知模型，具有模块化和易于使用的特点，配备简单的命令行界面来指导用户。除了学术探索之外，**EasyDistill** 还锚定实际的工业解决方案，提供强大的蒸馏模型和开源数据集，同时展示与阿里云AI平台PAI的无缝集成。致力于连接理论进步与实际需求，**EasyDistill** 赋能NLP社区，使最先进的知识蒸馏策略对研究人员和行业从业者都变得可及。