Local deployment GLM-4.5V needs to be met:
- Hardware:High-performance NVIDIA GPUs (e.g. A100/H100) with large video memory to support model runs.
- Dependent Installation:fulfillment
pip install transformers torch accelerate PillowInstall the necessary libraries.
Deployment Steps:
- Download models from Hugging Face Hub
zai-org/GLM-4.5VThe - utilization
AutoProcessorcap (a poem)AutoModelForCausalLMLoad the model, set toeval()mode and migrate to the GPU. - Combine an image with a text prompt as an input via the
apply_chat_templateProcessing, incoming models generate responses. - Adjust the generation parameters (e.g.
max_new_tokens,temperature) control the output effect.
This answer comes from the articleGLM-4.5V: A multimodal dialog model capable of understanding images and videos and generating codeThe
May not be reproduced without permission:AI productivity tools " What are the hardware requirements for local deployment of GLM-4.5V? How to realize it?
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