linkedin / Liger-Kernel

Efficient Triton Kernels for LLM Training

Date Created 2024-08-06 (3 months ago)

Commits 299 (last one a day ago)

Stargazers 3,472 (49 this week)

Watchers 40 (1 this week)

Forks 206

License bsd-2-clause

Ranking

RepositoryStats indexes 584,353 repositories, of these linkedin/Liger-Kernel is ranked #14,271 (98th percentile) for total stargazers, and #53,442 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #2,157/116,326.

linkedin/Liger-Kernel is also tagged with popular topics, for these it's ranked: llama (#45/519), llms (#35/506), llama3 (#20/153)

Other Information

linkedin/Liger-Kernel has 17 open pull requests on Github, 217 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 41 open issues and 77 closed issues.

There have been 10 releases, the latest one was published on 2024-11-17 (3 days ago) with the name v0.4.2: Fix 'RMSNorm' object has no attribute 'in_place'.

Homepage URL: https://arxiv.org/pdf/2410.10989

All Topics

llms phi3 llama gemma2 llama3 triton mistral finetuning llm-training triton-kernels

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Recent Commit History

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

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

updated: 2024-11-20 @ 07:23pm, id: 838970603 / R_kgDOMgGs6w