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Raw
repo mlcommons/modelbench
url https://github.com/mlcommons/modelbench
content_timestamp 2026-05-29
time_slice 2026-05
timestamp_source web_observed_public_github_page_2026_05_29
collected_at 2026-05-29 04:05:21 +0800
source github

GitHub - mlcommons/modelbench: MLCommons modelbench runs safety benchmarks against AI models and publishes detailed hazard-oriented benchmark reports.

Source: https://github.com/mlcommons/modelbench

Raw public page capture notes

This raw-style public GitHub page capture was recorded by the hourly public metadata update. Shell GitHub API access failed DNS resolution and local GitHub CLI auth was invalid, so freshness is web-observed rather than API-verified.

Visible repository metadata

  • Repository: mlcommons/modelbench
  • URL: https://github.com/mlcommons/modelbench
  • Stars: 126
  • Forks: 28
  • Commits: 676
  • License: Apache-2.0
  • Primary language / stack signal: Python/ModelGauge/Safety Reporting
  • Collection timestamp: 2026-05-29T04:05:21+08:00

Visible README / page excerpts

  • README states modelbench runs safety benchmarks and produces detailed reports for AI models.
  • Project is part of MLCommons AI Risk & Reliability Working Group and integrates modelgauge.
  • Repository includes docs, tests, and pyproject-based Python implementation.
  • Counts were taken from the public GitHub page without authenticated API claims.

Raw capture boundary

No benchmark was run, no source clone was modified, and no private or authenticated metadata was used. This file preserves public page evidence for downstream classification, model-card analysis, public reports, and the site index.