Teach, test, evaluate language models with MTEB Arena
Evaluate and submit AI model results for Frugal AI Challenge
Browse and submit LLM evaluations
Push a ML model to Hugging Face Hub
Compare LLM performance across benchmarks
Calculate memory usage for LLM models
Browse and evaluate ML tasks in MLIP Arena
Determine GPU requirements for large language models
Track, rank and evaluate open LLMs and chatbots
View NSQL Scores for Models
Explore GenAI model efficiency on ML.ENERGY leaderboard
Upload a machine learning model to Hugging Face Hub
Convert PyTorch models to waifu2x-ios format
MTEB Arena is a powerful open-source platform designed for benchmarking and evaluating language models. It provides a comprehensive environment to teach, test, and evaluate AI models, enabling users to assess performance across various tasks and datasets. With MTEB Arena, users can easily create custom benchmarking tasks, run evaluations, and compare results.
Install MTEB Arena:
Configure Your Task:
Run the Benchmark:
Analyze Results:
What is MTEB Arena used for?
MTEB Arena is used for benchmarking and evaluating language models. It allows users to create custom tasks, run evaluations, and analyze results to compare model performance.
Can I use MTEB Arena with any language model?
Yes, MTEB Arena supports a wide range of language models. It is compatible with models from popular libraries like Hugging Face Transformers and other custom models.
How do I install MTEB Arena?
To install MTEB Arena, clone the repository from GitHub or use pip. Follow the installation instructions in the documentation to set up the platform and its dependencies.