Reverse engineered prompt

Build me a very simple, beginner friendly project that shows people how to increase the context length of a model in Ollama.

I want it to walk someone through the whole flow in plain English, starting with making sure Ollama is installed and the model is already downloaded, then running the model, changing the num_ctx value, saving it under a new name, and checking that it worked by listing models. Please include the actual commands a person would copy and paste, with placeholders like the model name and desired context size made obvious.

It should also briefly explain what context length means and mention that increasing it can help with longer inputs but may slow things down or use more resources.

Keep it lightweight and easy to follow, like a quick guide or tiny helper page for non experts. If anything about the commands has changed, look up the current Ollama docs and make sure it matches.

Want more depth? Deep Reverse