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casualcomputer
2024-06-16 01:31:35 -04:00
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# 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
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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
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## 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.