Unsloth shows how to run GLM-5.3 locally with 2-bit quantization
Original titleGLM-5.3 can now be run locally!
AISummary
Unsloth AI published a guide for running GLM-5.3 locally using quantized GGUF weights. The 2-bit version is reduced from 1.51TB to 239GB and retains about 81% accuracy, and it can run on a 256GB Mac or RAM/VRAM setups.
AIWhy it matters
The guide shows which quantization levels fit local memory budgets and how much accuracy each costs, useful for planning a local deployment.
Source: Unsloth AI · x.comPublished · added here