google / paxml

Pax is a Jax-based machine learning framework for training large scale models. Pax allows for advanced and fully configurable experimentation and parallelization, and has demonstrated industry leading model flop utilization rates.

Date Created 2022-06-14 (2 years ago)

Commits 1,708 (last one 10 days ago)

Stargazers 462 (0 this week)

Watchers 15 (0 this week)

Forks 69

License apache-2.0

Ranking

RepositoryStats indexes 598,732 repositories, of these google/paxml is ranked #97,501 (84th percentile) for total stargazers, and #146,768 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #16,278/120,199.

google/paxml is also tagged with popular topics, for these it's ranked: llm (#749/2954), gpt (#292/1152), large-language-models (#291/1098)

Other Information

google/paxml has 15 open pull requests on Github, 40 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 15 open issues and 6 closed issues.

There have been 11 releases, the latest one was published on 2024-04-09 (8 months ago) with the name paxml release 1.4.0.

All Topics

c4 gpt jax llm model-flops parallelism large-language-models

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1,708 commits on the default branch (main) since jan '22

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The primary language is Python but there's also others...

updated: 2024-12-22 @ 05:46pm, id: 503429749 / R_kgDOHgG6dQ