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.
GLM is a Reasoning project. It focuses on running large GLM models with reduced memory footprint while preserving reasoning and tool-use capabilities. It is built as an open-source project for developers. The project is open source (Apache-2.0). It ships for the web, the command line, and API.
It is developed by cyankiwi, and it 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. Key capabilities include Quantized Model, Reasoning Effort, and Tool Integration.
Summary written by a language model from the project’s public pages.
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