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openbench download for Linux

Free download openbench Linux app to run online in Ubuntu online, Fedora online or Debian online

This is the Linux app named openbench whose latest release can be downloaded as v0.5.2sourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.

Download and run online this app named openbench with OnWorks for free.

Follow these instructions in order to run this app:

- 1. Downloaded this application in your PC.

- 2. Enter in our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.

- 3. Upload this application in such filemanager.

- 4. Start the OnWorks Linux online or Windows online emulator or MACOS online emulator from this website.

- 5. From the OnWorks Linux OS you have just started, goto our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.

- 6. Download the application, install it and run it.

SCREENSHOTS

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openbench


DESCRIPTION

openbench is an open-source, provider-agnostic evaluation infrastructure designed to run standardized, reproducible benchmarks on large language models (LLMs), enabling fair comparison across different model providers. It bundles dozens of evaluation suites — covering knowledge, reasoning, math, code, science, reading comprehension, long-context recall, graph reasoning, and more — so users don’t need to assemble disparate datasets themselves. With a simple CLI interface (e.g. bench eval --model ), you can quickly evaluate any model supported by Groq or other providers (OpenAI, Anthropic, HuggingFace, local models, etc.). openbench also supports private/local evaluations: you can integrate your own custom benchmarks or data (e.g. internal test suites, domain-specific tasks) to evaluate models in a privacy-preserving way.



Features

  • 30+ built-in benchmark suites spanning knowledge, math, reasoning, code, science, graph tasks and more
  • Provider-agnostic: works with many LLM providers including Groq, OpenAI, Anthropic, HuggingFace, local models, and others
  • Simple CLI commands for listing, describing, and evaluating benchmarks (bench list, bench describe, bench eval, etc.)
  • Support for custom/local benchmarks so users can evaluate domain-specific tasks privately
  • Consistent scoring and result logging for reproducible, comparable evaluation outcomes
  • Extensible architecture that simplifies adding new benchmarks or evaluation metrics


Programming Language

Python


Categories

Artificial Intelligence

This is an application that can also be fetched from https://sourceforge.net/projects/openbench.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.


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