🎬 Stop Using Command Line for Local AI — Use This Instead

Tired of memorizing llama.cpp flags? LlamaForge gives you full GUI control over the fastest local LLM engine — free and open source. Thanks for watching on Rumble!

🕐 TIMESTAMPS
0:00 - Intro
1:15 - Downloading & Extracting llama.cpp
3:18 - The Command-Line Chaos
11:11 - Why Not Just Use Ollama or LM Studio?
13:09 - Introducing LlamaForge
13:56 - LlamaForge Feature Tour
19:25 - Running Your Model
20:23 - Connect From Anywhere (Open WebUI, OpenCode)
23:41 - Get LlamaForge
25:12 - Conclusion, Thank You, Shoutouts

📖 WHAT YOU'LL LEARN
In this video, I show you why running local AI models shouldn't require a computer science degree. We'll look at the pain of using llama.cpp via command line, compare it to alternatives like Ollama and LM Studio, and then I'll introduce LlamaForge — the open-source GUI I built to solve this problem. Full walkthrough of features including model management, parameter configuration with tooltips, editable command view, and connecting from anywhere using Open WebUI or OpenCode.

📥 DOWNLOADS & RESOURCES
🔗 LlamaForge: https://github.com/mordang7/LlamaForge
🔗 llama.cpp: https://github.com/ggml-org/llama.cpp
🔗 HuggingFace: https://huggingface.co/

💚 CONNECT WITH GEEKJ
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🐦 Twitter/X: https://x.com/JohnnyTsag
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🖥️ MY SETUP
🎥 My Recording Gear:
📷 Camera: Sony ZV-E10
🎙️ Microphone: Blue Snowball

🖥️ My Gaming/Streaming PC:
CPU: AMD Ryzen 7 5800X3D
Motherboard: ASUS TUF GAMING X570-PLUS
RAM: Corsair Vengeance RGB RT DDR4-32GB 3600MT/s CL16
GPU: MSI RX 6800 XT GAMING Z TRIO
NVME SSD1: Samsung 980 Pro 500GB
NVME SSD2: Crucial P3 1TB
HDD: WD Blue 4TB

#LocalAI #LlamaForge #llmacpp #OpenSource #AITools