This blog post provides instructions on how to fine tune Meta's Llama 2 models on Lambda Cloud, a low-cost ($0.60/hr) A10 GPU machine, making it accessible for researchers and developers to train large language models without significant upfront costs. The process involves requesting access to the models from Meta and Hugging Face, spinning up a GPU machine, setting up an environment with necessary Python packages and libraries, logging into Hugging Face on CLI, and fine-tuning the model using a simple command. The author provides benchmarks showing that using a larger GPU like an A100 can significantly increase the samples/sec rate, making it suitable for more complex tasks.