This repository is dedicated to running the Ollama large language model (LLM) on Google Colab. The included Jupyter notebook, "bulding_llm_application_using_ollama_on_colab.ipynb", provides a step-by-step guide to building applications with Ollama on the Colab platform.
Ollama is a powerful LLM that can be used for a variety of natural language processing tasks. This project aims to make it easy for developers and researchers to utilize Ollama in a Colab environment, which offers free access to computing resources including GPUs.
bulding_llm_application_using_ollama_on_colab.ipynb: A comprehensive guide to setting up and running Ollama on Colab. It covers everything from initializing the environment to executing LLM tasks.
To get started with running Ollama on Colab:
- Open the notebook in Google Colab by clicking on the 'Open in Colab' button.
- Follow the instructions within the notebook to set up your environment.
- Run the cells in the notebook to start building your LLM application using Ollama.
- A Google account with access to Google Colab.
- Basic understanding of Python and Jupyter notebooks.
- Detailed instructions for setting up Ollama on Colab.
- Examples of LLM tasks that can be performed with Ollama.
- Tips for optimizing performance and managing resources on Colab.
We welcome contributions to improve the notebook and documentation. If you have suggestions or improvements, please fork the repository and submit a pull request.
This project is licensed under the MIT License - see the [LICENSE] file for details.
- The Ollama team for developing the amazing opensource platform.
- Google Colab for providing the platform.
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