Explore GenAI model efficiency on ML.ENERGY leaderboard
Browse and submit LLM evaluations
Teach, test, evaluate language models with MTEB Arena
Push a ML model to Hugging Face Hub
Convert PyTorch models to waifu2x-ios format
Display leaderboard of language model evaluations
View LLM Performance Leaderboard
Browse and submit evaluations for CaselawQA benchmarks
Measure execution times of BERT models using WebGPU and WASM
Open Persian LLM Leaderboard
Convert a Stable Diffusion XL checkpoint to Diffusers and open a PR
Load AI models and prepare your space
Measure over-refusal in LLMs using OR-Bench
The ML.ENERGY Leaderboard is a platform designed to benchmark and compare the energy consumption and performance of various AI models. It provides a transparent and standardized way to evaluate the efficiency of different models, enabling users to make informed decisions about their implementations. The leaderboard focuses specifically on GenAI energy efficiency, helping developers and organizations identify models that balance performance with energy usage.
What is the ML.ENERGY Leaderboard?
The ML.ENERGY Leaderboard is a tool for benchmarking AI models based on their energy consumption and performance, helping users find efficient solutions.
How are models evaluated on the leaderboard?
Models are evaluated based on their energy consumption during inference and training, as well as their performance metrics such as accuracy and speed.
How often is the leaderboard updated?
The leaderboard is continuously updated with new models and data to reflect the latest advancements in AI research and development.