GLM-5.2-AWQ-INT4 is an INT4 quantized variant of the GLM-5.2 model optimized for efficient inference. It includes support for adjustable reasoning effort levels and function calling. The model is available on Hugging Face and is designed for local deployment using quantization-aware runtimes.
In the Foundation models & chat space, GLM takes a focused approach. It focuses on running large GLM models with reduced memory footprint while preserving reasoning and tool-use capabilities. GLM is an open-source project aimed at developers. The project is open source (Apache-2.0). GLM is available on the web, the command line, and API.
It is developed by cyankiwi, and the product first shipped in 2026. The project is developed in the open on GitHub with 6.7k stars and 12 commits in the last 90 days. Among its 3 catalogued features are Quantized Model, Reasoning Effort, and Tool Integration.
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