Guide for Running Llama 2 Using LLAMA.CPP on AWS Fargate

Llama 2 is a new family of open-source large language models released by Meta (more on that here <a href="https://ai.meta.com/llama/" rel="noopener ugc nofollow" target="_blank">https://ai.meta.com/llama/</a>) and which became a standard in the industry for using in cases with self-hosted LLM. LLAMA.CPP is an open-source framework that is focused on running Llama models on CPU hardware (but can run on GPU as well). It democratized access to LLMs by enabling people to run large language models on their local computers. One of the challenges with using LLM in production is finding the right way to host the models in the cloud. GPUs are usually expensive so a lot of developers are looking for ways to host the model using CPU hardware. In this blog post, I will guide you through a quick and efficient deployment of the Llama 2 model on AWS with LLAMA.CPP framework utilizing a powerful tool from AWS, known as AWS Copilot. This is essentially a command-line interface designed specifically for containers, thereby simplifying the deployment and management of containerized applications including LLM ones. <a href="https://aws.plainenglish.io/guide-for-running-llama-2-using-llama-cpp-on-aws-fargate-7086bcd1ed3c">Read More</a>