Fine-tuning and Deploying LLM with Unsloth, SGLang and Runpod

A step-by-step workflow for fine-tuning and deploying large language models using cloud GPU infrastructure. The process covers launching a GPU instance on RunPod, loading a 20B parameter model with Unsloth's memory optimizations, applying LoRA adapters for efficient training, running supervised fine-tuning, exporting the merged Show more