Uploaded July 2026 | Updated September 2026, 2 weeks ago
🦙 Run Large Language Models on Your Computer Using llama.cpp | Complete Beginner's Guide
Want to run powerful AI models like Llama, Mistral, Qwen, Gemma, DeepSeek, and Phi directly on your own computer? In this beginner-friendly tutorial, you'll learn how llama.cpp works and why it has become one of the most popular tools for running Large Language Models (LLMs) locally.
In this video, we explain everything visually and in simple terms:
✅ What is llama.cpp?
✅ Why AI models are so large
✅ What quantization is and why it matters
✅ How quantization dramatically reduces model size
✅ Understanding the GGUF model format
✅ How the llama.cpp inference pipeline works
✅ Running AI models locally without cloud services
✅ Why local AI is faster, private, and free
Whether you're a developer, AI enthusiast, student, or simply curious about local AI, this video will give you a solid understanding of the technology behind modern Large Language Models.
📚 Topics Covered
llama.cpp explained
Local AI inference
Large Language Models (LLMs)
GGUF file format
AI model quantization
Running AI on CPU
Running LLMs without a GPU
Offline AI
Open-source AI
Hugging Face GGUF models
⏱️ Chapters
- Introduction
- What is llama.cpp?
- Why AI Models Are So Large
- Understanding Quantization
- The GGUF File Format
- How llama.cpp Works
- Running Inference Locally
- Summary
👍 If you found this video helpful, please Like, Subscribe, and turn on notifications for more tutorials about AI, LLMs, local inference, Linux, networking, and open-source software.
🌸 Buy me a coffee :
buymeacoffee.com/liv4it
🌸 Support channel & make donation :
paypal.me/aminenina/10
🌸 Subscribe for more videos :
Youtube: youtube.com/user/aminosninatos
🌸 Follow me On Social Media
Facebook : facebook.com/aminosninatos
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***********************************************************************
#llamacpp #LLM #ArtificialIntelligence
🦙 Run Large Language Models on Your Computer Using llama.cpp | Complete Beginner's Guide
Want to run powerful AI models like Llama, Mistral, Qwen, Gemma, DeepSeek, and Phi directly on your own computer? In this beginner-friendly tutorial, you'll learn how llama.cpp works and why it has become one of the most popular tools for running Large Language Models (LLMs) locally.
In this video, we explain everything visually and in simple terms:
✅ What is llama.cpp?
✅ Why AI models are so large
✅ What quantization is and why it matters
✅ How quantization dramatically reduces model size
✅ Understanding the GGUF model format
✅ How the llama.cpp inference pipeline works
✅ Running AI models locally without cloud services
✅ Why local AI is faster, private, and free
Whether you're a developer, AI enthusiast, student, or simply curious about local AI, this video will give you a solid understanding of the technology behind modern Large Language Models.
📚 Topics Covered
llama.cpp explained
Local AI inference
Large Language Models (LLMs)
GGUF file format
AI model quantization
Running AI on CPU
Running LLMs without a GPU
Offline AI
Open-source AI
Hugging Face GGUF models
⏱️ Chapters
- Introduction
- What is llama.cpp?
- Why AI Models Are So Large
- Understanding Quantization
- The GGUF File Format
- How llama.cpp Works
- Running Inference Locally
- Summary
👍 If you found this video helpful, please Like, Subscribe, and turn on notifications for more tutorials about AI, LLMs, local inference, Linux, networking, and open-source software.
🌸 Buy me a coffee :
buymeacoffee.com/liv4it
🌸 Support channel & make donation :
paypal.me/aminenina/10
🌸 Subscribe for more videos :
Youtube: youtube.com/user/aminosninatos
🌸 Follow me On Social Media
Facebook : facebook.com/aminosninatos
***********************************************************************
🌸 Download Hugging Face Models FAST! 🚀 HF CLI + Xet Storage Engine (Complete 2026 Guide)
youtu.be/8uDbEy2VKKs
🌸📦 Backblaze B2 Cloud Storage Rclone Log Every File Transfer & Verify Your Backups (Complete Guide)
youtu.be/AcLU4xdoj0U
🌸📦Backblaze B2 Cloud Storage & Rclone Useful Commands for Troubleshooting
youtu.be/rsGrBQz7U80
🌸📦 Backblaze B2 Cloud Storage What Happens When the Connection Drops Mid-Transfer
youtu.be/6vdMXjj_QNU
🌸📦 Backblaze B2 Cloud Storage & Rclone on Windows — Complete Setup & Sync Guide
youtu.be/5z_70VYiGp8
🌸🛡️ Deploy Wazuh XDR & SIEM with Docker — Full Step-by-Step Guide
youtu.be/5oqM1niLUc4
🌸🚀 🔥 FortiGate 8.0 CLI Commands Tutorial | Complete Guide for Beginners & Network Admins
youtu.be/4ZWLJ_mZ8us
🌸🚀 How to perform the basic initial configuration of a FortiGate 8.0 VM running on VMware ESXi
youtu.be/ae9oOmbWzPA
🌸🔥How To Deploy FortiGate 8.0 on ESXi Host & Activate Trial License (Step-by-Step Guide)🔥
youtu.be/BKBq_XzUj0U
🌸🚀 FortiOS 8.0 — What's New AI Security, Quantum Safe VPN & SASE Explained Simply 🔥
youtu.be/bcOOp3C9oWc
🌸🔥 Learn how to configure Port Forwarding on MikroTik Router (RouterOS) – Step-by-Step Guide 🔥
youtu.be/jJtcKccnCAY
🌸🔐 How to Configure WireGuard VPN on MikroTik Router — Step-by-Step Tutorial (RouterOS 7)
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🌸 🔐How to Set Up SSH Key Authentication on MikroTik Router
youtu.be/Ks0YcPUclWc
🌸 📌Mikrotik BGP Peering with DN42 Network
youtu.be/hHDcGfjJH0I
🌸 📌 MikroTik RouterOS Scripting
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🌸 🔐I Asked AI to Fix My MikroTik Firewall – Here’s What Happened
youtu.be/RbI-X0ZXXbg
🌸 🔐 MikroTik - Protect Your Network from Malicious IPs Using Q-Feeds
youtu.be/UekviUhSu4w
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youtu.be/CuKNz3_wWIY
🌸 How to Configure MikroTik Router as a DNS Server | Step-by-Step Guide (RouterOS v6 & v7)
youtu.be/XdcHRmcmm1o
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youtu.be/-uGWSsv5R9Y
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youtu.be/CSPhjxYRU0I
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youtu.be/Hb0hiZLOzfg
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youtu.be/CSU-GqJF27k
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youtu.be/-XA2nMEz51M
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youtu.be/bZaempHD84I
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#llamacpp #LLM #ArtificialIntelligence
