Technical requirements and best practices for model deployment
To guarantee the efficient operation of UIGEN-T1, the official recommended configuration includes an NVIDIA graphics card (12GB video memory or more) and PyTorch 2.0+ framework environment. Software dependencies mainly include Hugging Face Transformers library and CUDA acceleration toolkit. For actual deployment, developers need to optimize the output quality by engineering specific prompt words, including using standardized prompt templates and adding 'answer' ending trigger words. The maximum number of tokens after code generation needs to be set to 12012 or more to ensure complete output, and the temperature parameter is recommended to be kept around 0.7 to balance creativity and practicality. For enterprise level applications, model distillation can be used to reduce resource consumption.
This answer comes from the articleUIGEN-T1-Qwen-7b: Specialized Model for Generating HTML and CSS UI ComponentsThe
