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FlagOpen/FlagEval

0
View on GitHub↗

FlagEval

FlagEval, launched by BAAI in 2023, is a comprehensive large model evaluation system that encompasses over 800 open-source and closed-source models from around the globe. It features more than 40 capability dimensions, including reasoning, mathematical skills, and task-solving abilities, along…

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  • Model Evaluation - Comprehensive platform for evaluating model performance and training algorithms.
  • Evaluation Benchmarks - Multi-dimensional evaluation toolkit for foundational AI models.
13 stars·3 forks·15 views

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Star history chart for flagopen/flagevalStar history chart for flagopen/flageval

How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

Projects sharing features with FlagEval

These projects share indexed features with FlagEval. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
  • open-compass/opencompassopen-compass avatar

    open-compass/opencompass

    7,572View on GitHub↗

    OpenCompass is an open-source framework for standardized benchmarking of large language models. It provides a configurable evaluation pipeline that supports both objective and subjective assessment, using a dual-engine architecture to handle closed-form answer comparison and open-ended response rating. The framework is designed as a modular platform where datasets, models, and metrics are composed through declarative YAML configuration files. The framework distinguishes itself through its extensible model integration layer, which supports custom models, HuggingFace models, and third-party API

    Pythonbenchmarkchatgptevaluation
    View on GitHub↗7,572
  • mikegu721/xiezhibenchmarkMikeGu721 avatar

    MikeGu721/XiezhiBenchmark

    98View on GitHub↗

    Xiezhi (獬豸) is a comprehensive evaluation suite for Language Models (LMs). It consists of 249587 multi-choice questions spanning 516 diverse disciplines and four difficulty levels, as shown below. Please check our paper for more details, and our website will be open later on.

    Python
    View on GitHub↗98
  • cluebenchmark/supercluelybCLUEbenchmark avatar

    CLUEbenchmark/SuperCLUElyb

    144View on GitHub↗

    SuperCLUE琅琊榜:中文通用大模型匿名对战评价基准

    View on GitHub↗144
  • sjtu-lit/cevalSJTU-LIT avatar

    SJTU-LIT/ceval

    1,854View on GitHub↗

    Official github repo for C-Eval, a Chinese evaluation suite for foundation models NeurIPS 2023

    Python
    View on GitHub↗1,854
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Frequently asked questions

What does flagopen/flageval do?

FlagEval, launched by BAAI in 2023, is a comprehensive large model evaluation system that encompasses over 800 open-source and closed-source models from around the globe. It features more than 40 capability dimensions, including reasoning, mathematical skills, and task-solving abilities, along…

What are the main features of flagopen/flageval?

The main features of flagopen/flageval are: Model Evaluation, Evaluation Benchmarks.

Which projects share features with flagopen/flageval?

Projects with overlapping indexed features include: sjtu-lit/ceval — Official github repo for C-Eval, a Chinese evaluation suite for foundation models [NeurIPS 2023]. thu-coai/safety-prompts — Chinese safety prompts for evaluating and improving the safety of LLMs. 中文安全prompts,用于评估和提升大模型的安全性。. mikegu721/xiezhibenchmark — Xiezhi (獬豸) is a comprehensive evaluation suite for Language Models (LMs). It consists of 249587 multi-choice… cluebenchmark/supercluelyb — SuperCLUE琅琊榜:中文通用大模型匿名对战评价基准. open-compass/opencompass — OpenCompass is an open-source framework for standardized benchmarking of large language models. It provides a… nvidia/isaac-gr00t.