How to Use the Ollama Web-UI for Running LLMs Locally | Private Local LLM with ChatGPT | By Karndeep Singh

Running LLMs locally with a web UI is a game-changer! With AMA, you can import models, chat with them, and even customize prompts. AMA’s web UI is a lot like ChatGPT, and it’s super user-friendly. Plus, you can download and upload custom models. It’s like having your own private GPT-3! Exciting stuff! 🚀

Introduction

In this YouTube video, we will explore how to run various LLM models with a web interface using AMA. This allows for a beautiful and user-friendly interface similar to Chat GPT, enabling users to input queries in the form of text or images and receive model-generated responses.

Installing AMA and Docker

To get started, you’ll need to install Docker on your Linux or Mac OS desktop. Once Docker is installed, download the AMA and Docker, then access the AMA web UI repository on GitHub for detailed installation instructions.

Setting Up AMA Web-UI

Clone the web UI files from the GitHub repository and run the docker-compose d--build command in the terminal to install the necessary dependencies for the web UI on your local system. Access the web UI on your web browser using the specified local host port.

Utilizing the Web-UI

The AMA web UI provides a user-friendly interface to interact with LLM models. You can select, download, upload, and fine-tune models as well as configure various settings for model parameters.

Interacting with LLM Models

Once installed, you can interact with various LLM models using the web UI by inputting queries and receiving model-generated responses in real-time.

Exploring Advanced Features

The web UI also supports advanced features such as downloading, importing, and exporting chat logs, as well as utilizing multi-models for visual question answering.

Creating Custom Models

You can create and train custom models using the CLI and system prompts, allowing for personalized responses and interactions with the models.

Conclusion

The AMA web UI provides a convenient and user-friendly platform to interact with LLM models, making it easy to utilize and fine-tune models for various use cases. Subscribe to the channel for more content and tutorials. Thank you! 🌟

Key Takeaways:

  • AMA web UI offers a seamless way to run LLM models locally with a user-friendly interface.
  • Users can interact with, fine-tune, and create custom LLM models using the web UI.
  • The platform supports various advanced features for working with LLM models.

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