OpenCompass

What is OpenCompass?

OpenCompass, officially launched by the Shanghai Artificial Intelligence Laboratory (Shanghai AI Lab) in August 2023, is an open evaluation system for large models. Through a complete, open-source, and reproducible evaluation framework, it supports one-stop evaluation of various models, including large language models and multimodal models, and regularly publishes evaluation result rankings. OpenCompass comprises three core components: CompassKit (evaluation toolkit), CompassHub (benchmark community), and CompassRank (evaluation leaderboard). OpenCompass supports various models (such as Hugging Face models and API models), covering eight capability dimensions including language, knowledge, and reasoning, and provides multiple evaluation methods such as zero-shot and few-shot evaluations. With its distributed, efficient evaluation and flexible scalability, OpenCompass has attracted collaborations from numerous well-known enterprises and universities, and is committed to promoting the standardization and normalization of large model evaluation.

Main functions of OpenCompass

• Model evaluation tool (CompassKit): Provides a rich set of evaluation benchmarks and model templates, supports various evaluation methods such as zero-sample and few-sample, and allows users to flexibly expand according to their needs.
• CompassHub : Supports users to publish and share evaluation benchmarks. Leaderboards can be displayed within the community, and high-quality benchmarks can be included in the official leaderboard.
• CompassRank : Provides comprehensive and objective scores and rankings, covering eight capability dimensions, supporting the evaluation of language models and multimodal models, and has already been used by numerous models.
• Highly efficient evaluation system : Supports distributed evaluation, rapidly processes large-scale models, and is equipped with experiment management and reporting tools for easy real-time viewing of results.

How to use OpenCompass

• Visit the official website : Visit the OpenCompass official website to learn about the platform’s features and resources.
• Select the functional module : Choose CompassKit (evaluation tool), CompassHub (benchmark community), or CompassRank (leaderboard) according to your needs.
• Submit a model or benchmark : Submit the API or repository address of your model to CompassRank, or publish an evaluation benchmark on CompassHub.
• Installation and configuration : If using CompassKit, clone the code from GitHub, install the dependencies, and configure the environment.
• Perform the evaluation : Use CompassKit to perform a local evaluation, or wait for the official evaluation results to be updated to CompassRank.
• View results : Check the model ranking in CompassRank, or view the local evaluation report using CompassKit.

Application scenarios of OpenCompass

• Model performance evaluation and optimization : Enterprises and research institutions conduct multi-dimensional evaluations of language models or multimodal models to accurately identify the model’s strengths and weaknesses, and then optimize the model’s performance.
• Academic research : Researchers leverage its rich benchmarks to conduct comparative studies of models, thereby promoting academic development.
• Enterprise-level application development : When developing applications such as intelligent customer service and intelligent writing, enterprises evaluate the performance of different models on specific tasks and select or customize the most suitable model.
• Education and Training : Educational institutions use OpenCompass as a teaching tool to help students learn large model evaluation methods and optimization techniques, thereby improving their understanding and application of artificial intelligence technologies.
• Community building and sharing : Developers and researchers contribute models or benchmarks to the OpenCompass community, share resources with other users, and jointly promote the development of large model evaluation technology.