How to Run LLM in Docker

Large Language Models (LLMs) have changed how we build and use software. While cloud-based LLM APIs are great for convenience, there are plenty of reasons to run them locally, including better privacy, lower costs for experimentation, the ability to work offline, and faster testing without waiting on network delays.
But running Large Language Models (LLMs) on your own machine can be a headache as it often involves dealing with complicated setups, hardware-specific issues, and performance tuning.