Scalable and modular framework for fine-tuning large language models (LLMs) using LoRA and QLoRA. Supports 4-bit/8-bit quantization, Hugging Face Transformers, and instruction-tuning workflows across various tasks and datasets. Built for reproducibility, extensibility, and efficient experimentation.