Teach, test, evaluate language models with MTEB Arena
Compare and rank LLMs using benchmark scores
Explore and manage STM32 ML models with the STM32AI Model Zoo dashboard
Convert PyTorch models to waifu2x-ios format
Find and download models from Hugging Face
Generate and view leaderboard for LLM evaluations
View and submit language model evaluations
Open Persian LLM Leaderboard
Evaluate model predictions with TruLens
Display leaderboard of language model evaluations
Measure execution times of BERT models using WebGPU and WASM
Compare audio representation models using benchmark results
View and submit LLM benchmark evaluations
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.