wangclnlp / Vision-LLM-Alignment

This repository contains the code for Supervised Fine-Tuning (SFT) and Reinforcement Learning from Human Feedback (RLHF) designed for vision LLMs, including the llava models and the llama-3.2-vision models.

Date Created 2024-06-29 (3 months ago)
Commits 23 (last one 29 days ago)
Stargazers 40 (0 this week)
Watchers 2 (0 this week)
Forks 1
License unknown
Ranking

RepositoryStats indexes 565,279 repositories, of these wangclnlp/Vision-LLM-Alignment is ranked #498,809 (12th percentile) for total stargazers, and #467,523 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #95,767/111,292.

wangclnlp/Vision-LLM-Alignment is also tagged with popular topics, for these it's ranked: llm (#2,025/2462)

Other Information

wangclnlp/Vision-LLM-Alignment has Github issues enabled, there is 1 open issue and 3 closed issues.

Star History

Github stargazers over time

Watcher History

Github watchers over time, collection started in '23

Recent Commit History

23 commits on the default branch (master) since jan '22

Yearly Commits

Commits to the default branch (master) per year

Issue History

Languages

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

updated: 2024-09-28 @ 01:40pm, id: 821829334 / R_kgDOMPwe1g