Learn how to fine-tune DeepSeek 8B models efficiently using LoRA and 4-bit quantization on Google Colab or any 30GB GPU. This step-by-step guide walks you through model loading, dataset preparation, training setup, and advanced optimization techniques—enabling scalable, low-cost customization with parameter-efficient methods.
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In essence, training builds the foundation, while fine-tuning tailors that foundation to specific needs. Fine-tuning is particularly powerful because it leverages the vast knowledge already embedded in a pre-trained model like GPT, enabling efficient customization.
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