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Running open-source LLMs locally on personal hardware has become practical and popular in 2026. This comprehensive guide covers Ollama, llama.cpp, LM Studio, GPT4All, and LocalAI for running models like Llama 3, Mistral, Gemma, Phi-3, and DeepSeek on local machines. Learn about quantization, GPU acceleration (CUDA, Metal, ROCm), memory requirements, and practical applications for local AI inference.
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Running open-source LLMs locally on personal hardware has become practical and popular in 2026. This comprehensive guide covers Ollama, llama.cpp, LM Studio, GPT4All, and LocalAI for running models like Llama 3, Mistral, Gemma, Phi-3, and DeepSeek on local machines. Learn about quantization, GPU acceleration (CUDA, Metal, ROCm), memory requirements, and practical applications for local AI inference.
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