A ground-up journey into fine-tuning LLMs, where we build quantization and LoRA from scratch in plain PyTorch, combine them into QLoRA, and finally fine-tune Qwen3-8B into a PII redaction engine that outperforms a 70B model, using Crusoe’s Serverless Fine-Tuning.
