Running a Local LLM on Old Hardware: Quantization Explained
Running a Local LLM on Old Hardware: Quantization Explained You don't need a shiny new GPU rig to run a local LLM on old hardware. Quantization lets you squeeze surprisingly capable models onto machines with 4-8 GB of RAM. including that older laptop you've got sitting in a corner. This guide uses a 2015-era laptop baseline, and honestly, the hardware is more capable than you'd think. [!TIP] Quantization shrinks model weight precision to cut RAM and disk usage. A 7B model that needs 14 GB full can run in 4 GB after a good quantization pass. Why a Local LLM on Old Hardware Still Matters Most LLM conversations assume you've got 32 GB of RAM and an RTX 3090. That's fine if you're building a dedicated AI box, but what about the rest of us? Old hardware is everywhere. workstations from 2015, laptops that used to be your daily driver, spare machines you can't bring yourself to throw away. They've all got life left in them. The proprietary cloud model s...
