OpenLLMAI / OpenRLHF

An Easy-to-use, Scalable and High-performance RLHF Framework (Support 70B+ full tuning & LoRA & Mixtral & KTO)

Date Created 2023-07-30 (10 months ago)

Commits 593 (last one 7 days ago)

Stargazers 1,448 (104 this week)

Watchers 20 (0 this week)

Forks 127

License apache-2.0

Ranking

RepositoryStats indexes 523,840 repositories, of these OpenLLMAI/OpenRLHF is ranked #33,742 (94th percentile) for total stargazers, and #107,803 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #5,043/100,813.

OpenLLMAI/OpenRLHF is also tagged with popular topics, for these it's ranked: reinforcement-learning (#113/1166), large-language-models (#89/795), transformers (#83/710)

Other Information

OpenLLMAI/OpenRLHF has Github issues enabled, there are 47 open issues and 99 closed issues.

There have been 22 releases, the latest one was published on 2024-05-24 (7 days ago) with the name Release v0.2.8.

Homepage URL: https://arxiv.org/abs/2405.11143

All Topics

vllm raylib deepspeed transformers large-language-models reinforcement-learning reinforcement-learning-from-human-feedback

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Recent Commit History

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

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

updated: 2024-05-31 @ 09:55pm, id: 672415139 / R_kgDOKBQ9ow