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Optimizing Local LLM Inference for 8GB VRAM GPUs

Optimizing Local LLM Inference for 8GB VRAM GPUs

via HackernoonNaresh Waghela

Modern LLMs don't require expensive GPUs. With techniques like 4-bit quantization, GPU layer offloading, and efficient inference engines such as llama.cpp or Ollama, developers can run 7B models smoothly on an 8GB GPU. This guide explains the architecture, tools, and practical optimization methods to make local AI inference possible on low-end hardware.

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