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**Qwen2-7B-Instruct-Refine** and **Qwen2-1.5B-Instruct-Refine** are two powerful large language models that act as proficient prompt engineers. They can optimize and refine the prompts input by users, and the generated optimized instructions can significantly enhance the LLM's ability to produce better and more informative responses for users.
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We sampled the dataset from OpenHermes and the LCCD dataset, ensuring a balanced task distribution. For training set annotations, we used Qwen-max with incorporated our handwritten examples as in-context prompts.
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## 🚀 Quick Start
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**Qwen2-7B-Instruct-Refine** and **Qwen2-1.5B-Instruct-Refine** are two powerful large language models that act as proficient prompt engineers. They can optimize and refine the prompts input by users, and the generated optimized instructions can significantly enhance the LLM's ability to produce better and more informative responses for users.
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We fine-tuned **Qwen2-7B-Instruct** and **Qwen2-1.5B-Instruct** to obtain **Qwen2-7B-Instruct-Refine** and **Qwen2-1.5B-Instruct-Refine**.
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We sampled the dataset from OpenHermes and the LCCD dataset, ensuring a balanced task distribution. For training set annotations, we used Qwen-max with incorporated our handwritten examples as in-context prompts.
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## 🚀 Quick Start
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