OpenCompass is an open-source platform designed for evaluating large models. It provides comprehensive benchmarks and leaderboards, covering both large language models (LLMs) and multimodal large language models (MLLMs).
Key Features:
- Open Source: The platform is open-source, encouraging community contributions and transparency.
- Comprehensive Evaluation: Offers a wide range of benchmarks to assess various capabilities of large models.
- Leaderboards: Provides rankings of models based on their performance across different benchmarks.
- Benchmark Suite Community: Aims to create a community-driven resource for innovative benchmark datasets.
- Target Users: Designed for both developers and users of large models.
Use Cases:
- Model Evaluation: Evaluate the performance of LLMs and MLLMs across various tasks.
- Model Comparison: Compare different models based on their benchmark scores.
- Benchmark Development: Contribute to the development of new and innovative benchmark datasets.
- Research: Facilitate research on large model evaluation and development.
