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OpenCompass v0.2.3

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@Leymore Leymore released this 12 Mar 03:53
· 202 commits to main since this release
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The OpenCompass team is thrilled to announce the release of OpenCompass v0.2.3! This version is packed with new features, crucial fixes, and documentation updates to improve your experience. We're continuously working to enhance OpenCompass, making it more robust and versatile for all users.

🌟 Highlights:

  • Enhanced Model Support: Introduction of new models and configurations, including support for the LightllmApi, lmdeploy pytorch engine, and more.
  • New Datasets and Benchmarks: Expanding our dataset repository with additions like OpenFinData, lveval benchmark, and an upgrade to Needlebench.
  • Documentation and Sync Improvements: Updated dataset pack URLs, fixed documentation errors, and synchronized with internal codes for consistency.

Explore the key updates in this release:

🌟 New Features:

  • 📦 Dataset and Benchmark Expansion:

    • Support for new datasets like OpenFinData and an upgrade to Needlebench, offering broader evaluation capabilities (#896, #913).
    • Introduction of the lveval benchmark to enrich the evaluation landscape (#914).
  • 🛠 Model and API Integrations:

    • Enhanced functionality with support for LightllmApi input_format and prompt templates, alongside the introduction of get_ppl for TurbomindModel (#888, #878).
    • New model configurations added, including support for gemini and deepseek-coder, further broadening the tools available for users (#931, #943).
  • 📖 Documentation and Sync Updates:

    • Updated dataset pack URLs and rank link in README to ensure users have access to the latest resources (#922, #911).
    • Several syncs with internal codes and GitHub blacklist update to maintain consistency and integrity (#929, #953).

🐛 Bug Fixes:

  • Addressed various configuration and template issues to ensure smoother operation across different models and benchmarks (#894, #893).
  • Fixed issues related to IFEval, including type hints and config bugs, enhancing evaluation accuracy and functionality (#906, #915).

🎉 Welcome New Contributors:

🔗 Full Changelog

For a detailed overview of all changes, check out our Full Changelog.