Setting up the DeepSeek large language model for local use on your Ubuntu 24.04 system involves a few key steps, allowing you to leverage powerful AI capabilities without relying on external services. This guide outlines the installation and initial setup process.
Before you begin the installation, ensure your system meets the necessary requirements. You’ll need a robust machine, ideally with a capable GPU, as running large models locally is computationally intensive. Ubuntu 24.04 should be installed and up-to-date.
The process typically starts with obtaining the DeepSeek model files. This might involve cloning a repository or downloading pre-trained weights. Following this, you will likely need to install dependencies. This often includes Python, specific libraries like PyTorch or TensorFlow (depending on the framework used by the DeepSeek model), and potentially CUDA for GPU acceleration. Using a virtual environment is highly recommended to manage dependencies cleanly.
Once dependencies are installed, configuration is usually the next phase. This involves setting up environment variables or configuration files that point to the model files and specify settings like device usage (CPU or GPU), memory allocation, and model parameters.
Finally, you can test the installation by running the model. This might involve using a command-line interface (CLI) tool provided with the model or writing a simple script to load the model and perform an inference task, such as generating text or answering a prompt. Successful execution confirms that the DeepSeek model is correctly installed and ready for local use on your Ubuntu 24.04 machine. This setup empowers you with private, offline access to a sophisticated language model.
Source: https://www.linuxtechi.com/install-deepseek-on-ubuntu-locally/
