Adora-Foundation/llm-energy-lab
Web application for benchmarking and comparing LLM behaviour, energy and emissions on cloud and bare metal under different inference configs, middleware scaffolds and post-training implementations
This tool helps AI engineers and sustainability officers understand the environmental impact of large language models (LLMs). It takes your choice of LLM, inference settings, and prompts, and measures or estimates the energy consumed and carbon emitted. The output helps you optimize LLM configurations for reduced energy footprint and better performance.
Use this if you need to compare different LLMs and their configurations to find the most energy-efficient options for your applications while maintaining desired output quality.
Not ideal if you are looking for a simple LLM playground without specific interest in energy consumption or detailed performance benchmarking.
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11
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1
Language
Python
License
—
Category
Last pushed
Dec 11, 2025
Commits (30d)
0
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