This is a Q3_K_M quantized GGUF version of the GLM-5.2 model, optimized for local inference. It includes support for dynamic reasoning effort levels and advanced tool calling via structured XML-based function calls. The model is suitable for complex reasoning tasks and interactive assistant use cases on consumer-grade hardware.
GLM 5.2 REAP50 Q3 K M sits in PulseGate's Foundation models & chat category. It focuses on running large GLM models locally with configurable reasoning depth and tool-calling support. GLM 5.2 REAP50 Q3 K M is an open-source project aimed at developers running local LLMs. The project is open source (Apache-2.0). GLM 5.2 REAP50 Q3 K M is available on the web, the command line, and API.
Behind GLM 5.2 REAP50 Q3 K M is pipenetwork, and the product first shipped in 2025. The project is developed in the open on GitHub with 445 stars. Among its 4 catalogued features are GGUF Quantization, Reasoning Effort Control, and Tool Use.
Latest indexed changes and source events
pipenetwork/GLM-5.2-REAP50-Q3_K_M-GGUF verified by the PulseGate indexer
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