diff --git a/README.md b/README.md index 91e482e..c77d257 100644 --- a/README.md +++ b/README.md @@ -1,7 +1,6 @@ +# Setting Up Large Language Models on Google Colab and Kaggle -# Setting Up Large Language Models on Google Colab - -This repository provides detailed tutorials for setting up and running Large Language Models (LLMs) on Google Colab. Whether you have access to GPU acceleration or are limited to a CPU-only environment, these guides will help you get started with deploying and utilizing LLMs efficiently. +This repository provides detailed tutorials for setting up and running Large Language Models (LLMs) on Google Colab and Kaggle. Whether you have access to GPU acceleration or are limited to a CPU-only environment, these guides will help you get started with deploying and utilizing LLMs efficiently. ## Features @@ -16,16 +15,19 @@ This repository provides detailed tutorials for setting up and running Large Lan 2. **[CPU Only Setup](https://github.com/casualcomputer/llm_google_colab/blob/main/setup_llm_on_google_colab_cpu_only.ipynb)**: For users without access to GPU resources, this notebook provides a detailed guide to setting up and running LLMs using only CPUs. It includes performance tips and best practices for maximizing efficiency. +3. **[Setting Up LLM on Kaggle GPU](https://github.com/casualcomputer/llm_google_colab/blob/main/setup-llm-on-kaggle-gpu.ipynb)**: This notebook guides you through the process of setting up a LLM on Kaggle using GPU acceleration. It includes steps to install necessary packages and optimize your model for Kaggle's hardware. + ## Getting Started To get started with these tutorials, follow these steps: + - Fork this repository or download the notebooks directly. -- Open Google Colab and upload the notebook corresponding to your preferred setup. +- Open Google Colab or Kaggle and upload the notebook corresponding to your preferred setup. - Follow the instructions within the notebook to set up your LLM. ## Requirements -- A Google Colab account. +- A Google Colab or Kaggle account. - Basic knowledge of Python programming and Jupyter notebooks. ## Contributing @@ -34,8 +36,8 @@ Contributions are welcome! If you have improvements or additions to the tutorial ## License -This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details. +This project is licensed under the GPL-3.0 license - see the [LICENSE](https://github.com/casualcomputer/llm_google_colab/blob/main/LICENSE) file for details. ## Acknowledgements -Thanks to the open-source community and Google Colab for providing the resources that make these tutorials possible. +Thanks to the open-source community, Google Colab, and Kaggle for providing the resources that make these tutorials possible.