LLM-Pen with Ollama - Runs Entirely in Browser - Install Locally

Introduction

This tutorial provides a step-by-step guide on how to install LLM-Pen, a web-based application created with Vue.js and Vite. LLM-Pen enables users to interact with OpenAI's language models or a locally hosted model via Ollama, all within your browser. This guide will help you set up LLM-Pen locally, ensuring you can utilize its features effectively.

Step 1: Install Necessary Software

Before you can run LLM-Pen, you need to have some essential software installed on your machine.

1. Node.js:

   • Download and install Node.js from the official website.
   • Verify installation by running node -v and npm -v in your command line.

2. Ollama:

   • Follow the installation instructions for Ollama, which can be found on their GitHub page.
   • Make sure Ollama is properly set up to allow local model hosting.

Step 2: Clone the LLM-Pen Repository

You will need to get the LLM-Pen project files onto your local machine.

1. Open your command line interface.
2. Run the following command to clone the repository:

   git clone https://github.com/Danmoreng/llm-pen.git
   

3. Navigate into the cloned directory:

   cd llm-pen
   

Step 3: Install Project Dependencies

Once you have the project files, you need to install the required dependencies.

1. In the command line, ensure you are still in the llm-pen directory.
2. Run the following command to install all dependencies:

   npm install
   

Step 4: Run the Application

With the dependencies installed, you can now run the application.

1. Start the development server by executing:

   npm run dev
   

2. Open your web browser and go to http://localhost:3000 to access the LLM-Pen interface.

Step 5: Configure and Use LLM-Pen

After launching the application, you can start using LLM-Pen to chat with language models.

1. Choose whether to connect to OpenAI's models or a local model hosted via Ollama.
2. Enter your queries in the chat interface and interact with the models.

Conclusion

You have successfully installed and set up LLM-Pen on your local machine. Now you can explore its capabilities for interacting with language models. For further enhancements, consider experimenting with different models or integrating LLM-Pen with other applications. If you encounter issues, refer to the documentation on the GitHub page for troubleshooting tips.