Efficient LLM Fine-Tuning Using GaLore on Local GPU
Source: DeepHub IMBA This article is approximately 2000 words long, suggesting an 8-minute read. GaLore can save VRAM, allowing training of a 7B model on consumer-grade GPUs, but it is slower, taking almost twice as long as fine-tuning and LoRA. Training large language models (LLMs), even those with “only” 7 billion parameters, is a computationally … Read more