The Ollama Course - Using the CLI
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.
🔍 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.
📂 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.
💡 Pro Tips:
• Experimenting with environment variables.
• Understanding the differences in model management across Windows, Linux, and Mac.
👍 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 - https://github.com/ollama/ollama/tree...
• Hugging Face Downloader on GitHub - https://github.com/bodaay/HuggingFace...

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
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