Fine-Tuning DeepSeek V3 with Custom Datasets

Complete guide to fine-tuning DeepSeek V3 on custom datasets using LoRA/QLoRA, including data preparation, training configuration, evaluation, and deployment.

Learn how to fine-tune DeepSeek V3 for domain-specific tasks. Covers dataset preparation in conversation format, LoRA rank and alpha selection, QLoRA for memory-efficient training, Hugging Face PEFT integration, training hyperparameters, evaluation metrics, merging adapters, and deploying fine-tuned models with vLLM.