declare-lab / instruct-eval

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

Date Created 2023-03-28 (about a year ago)

Commits 151 (last one 3 months ago)

Stargazers 489 (0 this week)

Watchers 13 (0 this week)

Forks 38

License apache-2.0

Ranking

RepositoryStats indexes 537,046 repositories, of these declare-lab/instruct-eval is ranked #87,519 (84th percentile) for total stargazers, and #161,328 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #14,050/104,105.

declare-lab/instruct-eval is also tagged with popular topics, for these it's ranked: llm (#503/2066)

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 20 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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The only known language in this repository is Python

updated: 2024-07-01 @ 11:52am, id: 620479896 / R_kgDOJPvFmA