In the second video of the free Ollama course, the instructor demonstrates how to install Ollama on Windows, Linux, and Mac OS, emphasizing the importance of following the video closely for a smooth installation experience. They provide guidance on ensuring GPU compatibility and offer troubleshooting support through Discord channels for any issues that may arise during the installation process.
In the second video of the free Ollama course, the instructor focuses on the installation of Ollama across different operating systems: Windows, Linux, and Mac OS. They emphasize the importance of watching the video in its entirety before attempting the installation, as it will provide a comprehensive understanding of the steps involved. The instructor encourages viewers to return to the video if they encounter any issues, as the YouTube interface allows for easy navigation.
For Windows installation, the instructor utilizes a cloud-based Windows instance on Paperspace, citing it as a reliable source for Windows machines with dedicated GPUs. After accessing the Ollama website, the installer is downloaded and run, which is acknowledged as a straightforward process. The instructor notes that if the system has the correct Nvidia or AMD drivers, Ollama will automatically utilize the GPU. Viewers are directed to a specific URL for checking GPU compatibility and are encouraged to seek assistance through the course or Ollama Discord channels if issues arise.
In the Linux segment, the instructor shares their experience using Brev for creating a Linux instance. They highlight the simplicity of the installation process, which involves downloading and executing a script. The script primarily addresses GPU driver configurations, while also managing Ollama-specific tasks such as creating a user and setting up a background service. Users are reminded that, as with Windows, the installation should be quick if the GPU drivers are correctly configured, and they are encouraged to utilize Discord for troubleshooting.
The instructor then discusses the Mac OS installation, noting that Ollama is compatible with both Apple Silicon and Intel Macs, although performance is significantly better on Apple Silicon due to lack of GPU support on older Intel models. The installation process is similar to the other operating systems, involving downloading and running an installer. Following installation, users can run Ollama commands in the terminal, similar to the previous systems.
Finally, the instructor addresses common next steps after installation, such as setting up a web UI and redirecting models to different directories. They promise upcoming videos to cover these topics in more detail. Viewers are advised to look into using environment variables for managing file directories effectively, rather than relying on symbolic links, which may introduce complications. The video concludes with the instructor thanking viewers and encouraging them to look out for the next installment in the course.