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TechOps Tutorials
เข้าร่วมเมื่อ 29 ธ.ค. 2017
Welcome to TechOpsTutorials, your go-to channel for in-depth tutorials and practical guides on system administration, DevOps, Linux and cloud technologies.
Whether you're a beginner or an experienced IT professional, you'll find valuable insights and practical tips to help you succeed. Subscribe to our channel for regular updates and join our community of tech enthusiasts.
Whether you're a beginner or an experienced IT professional, you'll find valuable insights and practical tips to help you succeed. Subscribe to our channel for regular updates and join our community of tech enthusiasts.
Install DeepSeek-R1 on Ubuntu 24.04 🖥️ Complete Beginner's Guide to AI Model Setup 🤖
Looking to install and run DeepSeek-R1 on Ubuntu 24.04? 🚀 This step-by-step DeepSeek tutorial will guide you through the entire process, from system requirements to successfully running the AI model. Whether you're a beginner or a tech enthusiast, this video is perfect for you!
✔️ In this video, you'll learn:
📥 How to install Ollama for model management.
⚙️ Step-by-step instructions for installing DeepSeek-R1 on Ubuntu 24.04.
🔍 Real-world use cases: document summarization, customer support automation, and research assistance.
✅ How to verify installation and start using the DeepSeek-R1 model effectively.
👨💻 Commands Used in This Video:
Install Ollama: curl -sSfL ollama.com/download | sh
Verify Ollama: ollama --version
Run DeepSeek-R1: ollama run deepseek-r1:1.5b --query "Your question here"
USEFUL RESOURCES:
Ollama Tool for Linux Download
ollama.com/download/linux
This page provides instructions and downloads for the Ollama tool, which allows you to run large language models on Linux.
DeepSeek-R1 GitHub Repository
github.com/deepseek-ai/DeepSeek-R1
The official DeepSeek-R1 repository on GitHub contains the source code and all necessary resources for setting up and running the DeepSeek-R1 large language model.
DeepSeek-R1 Model on Ollama Library
ollama.com/library/deepseek-r1
On this Ollama library page, you can easily download and run the DeepSeek-R1 model with the Ollama tool.
🔥 Don't miss this tutorial to streamline your AI model setup and usage!
👉 Subscribe for more tutorials on AI tools, Ubuntu tips, and DevOps practices. Hit that like button and share your thoughts in the comments below! 😊
📚 Chapters
0:00 🚀 Introduction - Welcome and overview of the tutorial on installing and running DeepSeek R1 on Ubuntu 22.04.
0:25 ⚙️ System Requirements - Review of the minimum system requirements for running DeepSeek R1, including OS, RAM, storage, and internet connection.
1:00 🛠️ Choosing the Model - Explanation of the chosen DeepSeek R1 model (1.5b) for this tutorial due to its smaller size and suitability for systems with limited resources.
1:26 💡 What is Ollama? - Introduction to Ollama and its benefits for managing and running large language models like DeepSeek R1.
2:27 💻 Installing Ollama - Step-by-step guide to installing Ollama on Ubuntu 22.04 using the terminal.
4:39 ✅ Ollama Installation Complete - Confirmation of successful Ollama installation and addressing the GPU warning.
5:31 ❓ Verifying Ollama Installation - Checking the Ollama version to confirm successful installation.
6:12 ⬇️ Downloading DeepSeek R1 - Instructions on downloading and setting up the DeepSeek R1 1.5b model using Ollama.
8:35 🏃 Running DeepSeek R1 - Starting the DeepSeek R1 model and waiting for it to become ready.
8:44 💬 Testing DeepSeek R1 - Interacting with DeepSeek R1 by sending a query and receiving a response.
9:38 💡 Real-World Use Cases - Exploring practical applications of DeepSeek R1, including document summarization, customer support automation, and research assistance.
10:12 ❓ Query Example: What is DevOps? - Demonstrating DeepSeek R1's ability to answer complex questions with detailed responses.
11:32 ❓ Query Example: Password Reset - Showcasing DeepSeek R1's potential for automating customer support queries.
12:23 ❓ Query Example: AI Advancements - Using DeepSeek R1 for research purposes to gather information on recent AI breakthroughs.
13:08 🚀 GPU Acceleration - Discussing the benefits of GPU acceleration for faster DeepSeek R1 performance and how to enable it.
13:54 🛠️ Troubleshooting - Addressing common issues encountered during installation and usage, including command not found errors, permission problems, slow downloads, and memory errors.
15:18 💡 Advanced Features - Briefly mentioning advanced DeepSeek R1 features like document search, code analysis, and model fine-tuning.
15:59 🎉 Conclusion
#DeepSeek #UbuntuTutorial #DeepLearningSetup #AIModel #ubuntu24
✔️ In this video, you'll learn:
📥 How to install Ollama for model management.
⚙️ Step-by-step instructions for installing DeepSeek-R1 on Ubuntu 24.04.
🔍 Real-world use cases: document summarization, customer support automation, and research assistance.
✅ How to verify installation and start using the DeepSeek-R1 model effectively.
👨💻 Commands Used in This Video:
Install Ollama: curl -sSfL ollama.com/download | sh
Verify Ollama: ollama --version
Run DeepSeek-R1: ollama run deepseek-r1:1.5b --query "Your question here"
USEFUL RESOURCES:
Ollama Tool for Linux Download
ollama.com/download/linux
This page provides instructions and downloads for the Ollama tool, which allows you to run large language models on Linux.
DeepSeek-R1 GitHub Repository
github.com/deepseek-ai/DeepSeek-R1
The official DeepSeek-R1 repository on GitHub contains the source code and all necessary resources for setting up and running the DeepSeek-R1 large language model.
DeepSeek-R1 Model on Ollama Library
ollama.com/library/deepseek-r1
On this Ollama library page, you can easily download and run the DeepSeek-R1 model with the Ollama tool.
🔥 Don't miss this tutorial to streamline your AI model setup and usage!
👉 Subscribe for more tutorials on AI tools, Ubuntu tips, and DevOps practices. Hit that like button and share your thoughts in the comments below! 😊
📚 Chapters
0:00 🚀 Introduction - Welcome and overview of the tutorial on installing and running DeepSeek R1 on Ubuntu 22.04.
0:25 ⚙️ System Requirements - Review of the minimum system requirements for running DeepSeek R1, including OS, RAM, storage, and internet connection.
1:00 🛠️ Choosing the Model - Explanation of the chosen DeepSeek R1 model (1.5b) for this tutorial due to its smaller size and suitability for systems with limited resources.
1:26 💡 What is Ollama? - Introduction to Ollama and its benefits for managing and running large language models like DeepSeek R1.
2:27 💻 Installing Ollama - Step-by-step guide to installing Ollama on Ubuntu 22.04 using the terminal.
4:39 ✅ Ollama Installation Complete - Confirmation of successful Ollama installation and addressing the GPU warning.
5:31 ❓ Verifying Ollama Installation - Checking the Ollama version to confirm successful installation.
6:12 ⬇️ Downloading DeepSeek R1 - Instructions on downloading and setting up the DeepSeek R1 1.5b model using Ollama.
8:35 🏃 Running DeepSeek R1 - Starting the DeepSeek R1 model and waiting for it to become ready.
8:44 💬 Testing DeepSeek R1 - Interacting with DeepSeek R1 by sending a query and receiving a response.
9:38 💡 Real-World Use Cases - Exploring practical applications of DeepSeek R1, including document summarization, customer support automation, and research assistance.
10:12 ❓ Query Example: What is DevOps? - Demonstrating DeepSeek R1's ability to answer complex questions with detailed responses.
11:32 ❓ Query Example: Password Reset - Showcasing DeepSeek R1's potential for automating customer support queries.
12:23 ❓ Query Example: AI Advancements - Using DeepSeek R1 for research purposes to gather information on recent AI breakthroughs.
13:08 🚀 GPU Acceleration - Discussing the benefits of GPU acceleration for faster DeepSeek R1 performance and how to enable it.
13:54 🛠️ Troubleshooting - Addressing common issues encountered during installation and usage, including command not found errors, permission problems, slow downloads, and memory errors.
15:18 💡 Advanced Features - Briefly mentioning advanced DeepSeek R1 features like document search, code analysis, and model fine-tuning.
15:59 🎉 Conclusion
#DeepSeek #UbuntuTutorial #DeepLearningSetup #AIModel #ubuntu24
มุมมอง: 147
วีดีโอ
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dude Thank you for this tutorial. i have been trying to solve this stuff for months and havent found any turorial that would solve. Nobody even mentions the actual reason why the installation of guest addition is faces an issue.
I'm happy the tutorial was helpful.
Wonderful❤ brother❤ keep consistency 🤟
thanks so much for the kind words and the encouragement! I'm really glad you enjoyed the video. I'll definitely try to keep the content coming consistently.
thx bro <3
You're welcome!
Nice concept good 👍, please come with more like unique concept and also try in Hindi if not possible please provide transcript in Hindi
Thank you so much for your feedback! I'm glad you liked the concept. Regarding your suggestion about Hindi, I'll consider it for future videos. And I'll try to make a Hindi tutorial very soon.