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# glm-5.2 → llama.cpp → local-inference → quantization

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GLM-5.2 - How to Run Locally | Unsloth Documentation

This guide shows how to run Z.ai’s open-source GLM-5.2 model on local hardware using Unsloth Dynamic GGUF quantizations. It covers memory requirements for 1-bit and 2-bit setups, recommended inference settings, and step-by-step instructions for Unsloth Studio and llama.cpp. The article also explains KLD benchmarks and quantization accuracy trade-offs.
Last saved Jun 24, 2026 · 7 min read
glm-5.2 quantization llama.cpp + unsloth local-inference