declare-lab / instruct-eval

This repository contains code to quantitatively evaluate instruction-tuned models such as Alpaca and Flan-T5 on held-out tasks.

declare-lab
declare-lab
Date Created 2023-03-28 (about a year ago)
Commits 151 (last one 8 months ago)
Stargazers 530 (2 this week)
Watchers 13 (0 this week)
Forks 42
License apache-2.0
Ranking

RepositoryStats indexes 585,332 repositories, of these declare-lab/instruct-eval is ranked #86,851 (85th percentile) for total stargazers, and #165,701 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #14,161/116,570.

declare-lab/instruct-eval is also tagged with popular topics, for these it's ranked: llm (#639/2744)

Other Information

declare-lab/instruct-eval has 2 open pull requests on Github, 2 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 21 open issues and 8 closed issues.

Homepage URL: https://declare-lab.github.io/instruct-eval/

All Topics
llm instruct-tuning

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

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updated: 2024-11-22 @ 11:23pm, id: 620479896 / R_kgDOJPvFmA