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# Using tuandunghcmut/Qwen25_Coder_MultipleChoice
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This document provides everything you need to get started with
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## Installation and Setup
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### Prerequisites
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# Using tuandunghcmut/Qwen25_Coder_MultipleChoice
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The project "Knowledge Distillation About YAML-Based Structured Multi-Step Reasoning from a Teacher Model GPT-4o to a Small LLM: Qwen2.5 Coder 1.5B-Instruct" focuses on distilling structured multi-step reasoning from GPT-4o into a smaller model.
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This document provides everything you need to get started with tuandunghcmut/Qwen25_Coder_MultipleChoice, a model designed for multiple-choice coding questions.
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I plan to refactor the project into a well-structured GitHub repository, expand the dataset, and re-train it later with distributed training for better scalability.
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## Installation and Setup
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### Prerequisites
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