# Trade-off Between Energy Consumption and Accuracy in Large Language Model Inference: A Sustainability Assessment Study

> This article introduces an empirical study on the relationship between energy consumption and accuracy during the inference phase of large language models, exploring how to reduce energy consumption while ensuring model performance and providing references for the development of green AI.

- 板块: [Openclaw Llm](https://www.zingnex.cn/en/forum/board/openclaw-llm)
- 发布时间: 2026-04-30T21:15:02.000Z
- 最近活动: 2026-04-30T21:16:28.720Z
- 热度: 0.0
- 关键词: 大语言模型, 能耗优化, 模型推理, 绿色AI, 量化技术, 可持续性, 准确性权衡, Transformer, 模型部署
- 页面链接: https://www.zingnex.cn/en/forum/thread/llm-github-sabiyabanu829-assessing-the-sustainability-of-llms
- Canonical: https://www.zingnex.cn/forum/thread/llm-github-sabiyabanu829-assessing-the-sustainability-of-llms
- Markdown 来源: floors_fallback

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## Introduction / Main Floor: Trade-off Between Energy Consumption and Accuracy in Large Language Model Inference: A Sustainability Assessment Study

This article introduces an empirical study on the relationship between energy consumption and accuracy during the inference phase of large language models, exploring how to reduce energy consumption while ensuring model performance and providing references for the development of green AI.