Fine-tune your first large language model (LLM) with LoRA, llama.cpp, and KitOps in 5 easy steps
Dive into the world of large language models with our step-by-step tutorial on fine-tuning using LoRA, powered by tools like llama.cpp and KitOps. LoRA (Low-Rank Adaptation) is an efficient technique for adapting pre-trained models, minimizing computational overhead. We’ll guide you through setting up your environment, creating a Kitfile, building a LoRA adapter, and deploying your fine-tuned model. By the end, you’ll have a packaged model ready for deployment.
Jesse Williams COO/CMO · April 30, 2024