The GLM-4.5 series models have different hardware requirements:
- GLM-4.5-Air (Lite): 16GB GPU memory required (INT4 quantization ~12GB), CPUs with 32GB RAM can also run but less efficiently
- Full version GLM-4.5: Recommended for multi-GPU environments, requires approximately 32GB of video memory
- General Requirements: Requires CUDA 11.8+ GPU driver, Python 3.8+ environment
For cloud deployment, it is recommended to use the vLLM service framework, which may take longer to compile. Developers can also choose the pre-compiled version provided by Hugging Face to reduce the difficulty of deployment.
This answer comes from the articleGLM-4.5: Open Source Multimodal Large Model Supporting Intelligent Reasoning and Code GenerationThe
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