The Ollama Course - Using the CLI

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The video focuses on using the Command Line Interface (CLI) for managing AI models on the Ollama platform, introducing key commands such as “olama run,” “olama create,” and “olama serve.” It emphasizes the importance of understanding model management commands and the process of creating and configuring models, while also hinting at future content related to third-party tools.

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In the latest video of the Ollama Course, the focus is on utilizing the Command Line Interface (CLI) for working with Ollama, a platform designed for AI model management. The video begins by recapping previous lessons, including installation on various operating systems and how to find models on ama.com. The primary command to run a model is introduced as “olama run,” but the video emphasizes exploring additional commands and options available through the CLI.

The video explains the “olama d-el” command, which lists all available commands. Among these, the “serve” command is highlighted, with a caution that it should not be run interactively in a terminal. Instead, Ollama sets up a service to run in the background after installation. The video notes that running “olama serve” interactively can lead to issues with model accessibility due to different user permissions on Windows and Linux, while Mac users can run it interactively but must keep the terminal open.

Next, the “olama create” command is discussed, which allows users to create new models by combining model weights and system prompts. The video demonstrates how to create a model based on the Llama 3.1 architecture, using a humorous prompt inspired by the Swedish Chef from the Muppets. Additionally, it covers how to create models from downloaded weights files, specifically safe tensor files from Hugging Face, and explains the process of converting these files into a usable format for Ollama.

The video continues by detailing commands such as “olama show,” which provides configuration details for a model, and “olama run,” which executes the model. It also introduces commands for managing models, including “olama list,” “olama cp” for copying models, and “olama rm” for removing them. The importance of pulling models before using them is emphasized, along with the ability to push models to ama.com after setting up an account and uploading the necessary public key.

Finally, the video concludes by summarizing the capabilities of the Ollama CLI and hints at future content that will cover third-party tools that can perform similar functions. The instructor encourages viewers to subscribe for more videos in the series and expresses enthusiasm for integrating AI into everyday life using Ollama. Overall, the video serves as a comprehensive guide to effectively using the Ollama CLI for model management and experimentation.

Welcome back to the Ollama course! In this video, we dive deep into the command line interface (CLI) of Ollama, exploring all the powerful options and commands available. Whether you’re a beginner or looking to enhance your skills, this free course on YouTube will guide you to become an Ollama Pro.
:mag: What You’ll Learn:

  1. Overview of Ollama CLI Commands: Learn how to list all commands using ollama -h or ollama --help.
  2. Using the “serve” Command: Understand the importance of the “serve” command and how to use it effectively.
  3. Creating New Models: Step-by-step guide on creating new models with ollama create, including using different model weights and prompts.
  4. Running Models: Detailed instructions on running models with ollama run and exploring additional options like --format json and --verbose.
  5. Managing Models: Learn how to pull, list, copy, and remove models using ollama pull, ollama list, ollama cp, and ollama rm.
  6. Pushing Models to Ollama.com: How to set up an account, upload your public key, and push models to Ollama.com.
    :open_file_folder: Hands-On Examples:
    • Creating a model inspired by the Swedish Chef from the Muppets.
    • Using model weights from Hugging Face and converting safetensors to gguf.
    :bulb: Pro Tips:
    • Experimenting with environment variables.
    • Understanding the differences in model management across Windows, Linux, and Mac.
    :+1: Why Subscribe?
    Stay updated with our free Ollama course every Tuesday and more in-depth videos every Thursday. By subscribing, you’ll be the first to know about new videos and advanced tips to make AI a part of your life using Ollama.

Links & Resources:
• Ollama Documentation - ollama/docs at main · ollama/ollama · GitHub
• Hugging Face Downloader on GitHub - GitHub - bodaay/HuggingFaceModelDownloader: Simple go utility to download HuggingFace Models and Datasets

Tags: ollama #AI #MachineLearning #CommandLine #Tutorial #FreeCourse #HuggingFace #ModelCreation #AIPro #TechTutorials

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00:00 - Start
00:47 - The CLI Help
00:58 - Serve
01:47 - Experimenting with Serve
02:08 - Create
02:34 - Swedish Chef
03:35 - Import SafeTensors
05:22 - Show
05:44 - Run
06:12 - Pull
06:42 - List
06:53 - Copy
07:17 - Remove
07:28 - Push