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This skill serves as a specialized domain-specific reference for developers working with Large Language Models, offering immediate access to structured data on model architectures, training methods, and optimization strategies. It provides actionable advice on configuring techniques like LoRA, QLoRA, and DPO, while offering comparative insights into popular models such as Qwen, DeepSeek, and Llama. By integrating deep technical knowledge directly into the workflow, it helps developers resolve training issues like overfitting or loss divergence and helps in selecting the most cost-effective models for specific tasks like reasoning or Chinese NLP.