OptimalScale / LMFlow

An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.

Date Created 2023-03-27 (about a year ago)
Commits 1,616 (last one 16 days ago)
Stargazers 8,277 (4 this week)
Watchers 71 (0 this week)
Forks 826
License apache-2.0
Ranking

RepositoryStats indexes 584,777 repositories, of these OptimalScale/LMFlow is ranked #5,021 (99th percentile) for total stargazers, and #27,395 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #739/116,437.

OptimalScale/LMFlow is also tagged with popular topics, for these it's ranked: deep-learning (#196/8398),  pytorch (#104/5951),  chatgpt (#76/2519),  transformer (#20/1000),  language-model (#21/506),  pretrained-models (#9/206)

Other Information

OptimalScale/LMFlow has 9 open pull requests on Github, 427 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 64 open issues and 349 closed issues.

There have been 4 releases, the latest one was published on 2024-06-19 (5 months ago) with the name [2024-06-19] LMFlow v0.0.8.

Homepage URL: https://optimalscale.github.io/LMFlow/

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1,616 commits on the default branch (main) since jan '22

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updated: 2024-11-19 @ 12:12pm, id: 619825247 / R_kgDOJPHIXw