A Comprehensive Approach to Instruction Tuning for Qwen2.5: Data Selection, Domain Interaction, and Training Protocols

A Comprehensive Approach to Instruction Tuning for Qwen2.5: Data Selection, Domain Interaction, and Training Protocols

Instruction tuning plays a pivotal role in aligning large language models with diverse tasks, yet its effectiveness hinges on the interplay of data quality, domain composition, and training strategies. This study moves beyond qualitative assessment to systematically quantify these factors through ex...

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Bibliographic Details
Main Authors: Xungang Gu, Mengqi Wang, Yangjie Tian, Ning Li, Jiaze Sun, Jingfang Xu, He Zhang, Ruohua Xu, Ming Liu
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Computers
Subjects:
instruction tuning
data selection
domain mixture
multi-stage training
large language models
Online Access:https://www.mdpi.com/2073-431X/14/7/264
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