AI BriefingGLM-5.3-UNCENSORED-EXL3-3.0bpw: Reducing Memory Footprint of GLM-5.3 MoE Model with 3.0bpw Quantization
Infatoshi/GLM-5.3-UNCENSORED-EXL3-3.0bpw
About the project
The GLM-5.3 UNCENSORED model is distributed compressed to 3.0bpw (bits per weight) in EXL3 format. It runs on the exllamav3 library, significantly reducing the VRAM required for inference while preserving the advantages of the MoE (Mixture of Experts) architecture.
The file size is reduced to approximately 146GB compared to the original fp8 model, enabling interactive text generation without high-end GPUs. It fully inherits the characteristics of the uncensored version with filtering removed, focusing on free-form response generation.
It is suitable for users looking to run large language models on personal workstations or limited hardware environments. Released under the MIT license, it allows free commercial use and modification, making it useful for developers who prioritize a balance between local inference performance and memory efficiency.
Infatoshi/GLM-5.3-UNCENSORED-EXL3-3.0bpw
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