I Switched From Ollama And LM Studio To llama.cpp And Absolutely Loving It

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A developer shares their journey from using Ollama and LM Studio to llama.cpp for running AI models locally. The switch was motivated by llama.cpp's smaller footprint (90 MB vs 4.6 GB), native Vulkan support for AMD GPUs, and feature-rich CLI that eliminates the need for Electron-based interfaces. The article provides setup instructions and demonstrates how llama.cpp offers direct model execution, web UI, and API capabilities while maintaining simplicity and minimal resource usage.

6m read timeFrom itsfoss.com
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My struggle with running local AI modelsWhy not Ollama and LM Studio?Setting up Llama.cppllama.cpp: The best local AI stack for mellama.cpp for the win

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