AI BriefingGLM-5.3-SLIM-GGUF: GLM-5.3 SLIM, 180GB GGUF for Local Execution
Scantist/GLM-5.3-SLIM-GGUF
About the project
A Mixture of Experts model based on GLM-5.3 is provided in GGUF format. It features an optimized file structure for immediate execution within the llama.cpp ecosystem. The model focuses on text generation and interactive interaction.
It is a large model with a total file size of approximately 180GB. A UD-IQ2_M quantized version is provided, enabling memory-efficient local inference. imatrix-based quantization processing has been applied.
It is compatible with major local inference frameworks such as llama.cpp, LM Studio, Jan, and vLLM. It can be run as an OpenAI-compatible server or executed directly as a client from the terminal. It can also be deployed immediately via container commands in a Docker environment.
It supports English and Chinese and is distributed under the glm-5.3 license. It is suitable for developers who want to test or utilize large parameter models on personal hardware or small-scale servers. It is used for local LLM experiments in high-end GPU environments.
Scantist/GLM-5.3-SLIM-GGUF
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text-generation
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