How To Run A Chatgpt-Like Llm On Your Pc Offline

ChatGPT has become incredibly popular for its impressive ability to process language. However, some individuals may not have access to it due to connectivity problems or concerns about privacy. Fortunately, there are solutions for running a similar offline LLM on your computer. In this article, we will discuss how to achieve this.

Step 1: Install an Offline LLM

The first step is to install an offline LLM. There are several options available, but one of the most popular ones is GPT-NeoX. It is a large language model that can perform various tasks such as text generation, translation, and summarization. To install it, you will need to follow the instructions on their website.

Step 2: Install a Text Editor

The next step is to install a text editor that can work with GPT-NeoX. One of the most popular options is Visual Studio Code. It has a plugin called “GPT-NeoX” that allows you to interact with the model directly from the editor.

Step 3: Install the GPT-NeoX Plugin

Once you have installed Visual Studio Code, you can install the GPT-NeoX plugin. To do this, open the editor and go to “Extensions” in the left panel. Search for “GPT-NeoX” and install it. Once installed, you will see a new tab called “GPT-NeoX” in the left panel.

Step 4: Interact with GPT-NeoX

Now that you have everything set up, you can start interacting with GPT-NeoX. In the “GPT-NeoX” tab, you will see a prompt where you can enter your text. Type in what you want to generate and hit enter. The model will then generate a response based on your input.

Step 5: Save Your Output

Once you have generated the output, you can save it by clicking on the “Save” button in the top right corner of the editor. You can also export it as a JSON file if you want to use it in other applications.


In conclusion, running a ChatGPT-like LLM offline on your PC is possible with the right tools and setup. By following these steps, you can install GPT-NeoX, Visual Studio Code, and the GPT-NeoX plugin to interact with the model directly from the editor. With this setup, you can generate text, translate it, summarize it, and save your output for future use.