higgsfield-ai / higgsfield

Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters

Date Created 2018-05-26 (6 years ago)

Commits 44 (last one 10 months ago)

Stargazers 3,302 (2 this week)

Watchers 76 (0 this week)

Forks 554

License apache-2.0

Ranking

RepositoryStats indexes 595,856 repositories, of these higgsfield-ai/higgsfield is ranked #15,189 (97th percentile) for total stargazers, and #25,284 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #358/17,543.

higgsfield-ai/higgsfield is also tagged with popular topics, for these it's ranked: deep-learning (#484/8512), machine-learning (#508/8063), pytorch (#288/6025), llm (#194/2913), llama (#48/547), mlops (#51/421), distributed (#47/379), llama2 (#19/238)

Other Information

higgsfield-ai/higgsfield has 3 open pull requests on Github, 9 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there is 1 open issue and 0 closed issues.

There have been 1 release, the latest one was published on 2024-03-23 (9 months ago) with the name v0.0.4-rc.

All Topics

llm llama mlops llama2 pytorch distributed deep-learning machine-learning cluster-management

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Github watchers over time, collection started in '23

Recent Commit History

44 commits on the default branch (main) since jan '22

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Languages

The primary language is Jupyter Notebook but there's also others...

updated: 2024-12-22 @ 05:57am, id: 134999697 / R_kgDOCAvukQ