I Thought Fine-Tuning LLMs Needed Expensive GPUs. I Was Wrong.
The author successfully fine-tuned a 1.1 billion parameter TinyLlama model using QLoRA on consumer hardware, training only 0.2% of the model's parameters via low-rank adapter matrices. The project involved overcoming cha…