PostTrainBench

About PostTrainBench

Measuring how well CLI agents like Claude Code or Codex CLI can post-train base LLMs on a single H100 GPU in 10 hours

ai-research-automation ai-safety claude-code codex-cli gemini-cli post-training

Quick Facts

Stars	255
Forks	26
Language	Python
Category	Codex Skill
License	MIT
Quality Score	38.9/100
Open Issues	8
Last Updated	2026-04-07
Created	2025-11-28
Platforms	claude-code, cli, codex, gemini, python
Est. Tokens	~1090k

Compatible Skills

These tools work well together with PostTrainBench for enhanced workflows:

claude-scholar — semantic(0.26)+complementary+same_lang+similar_pop+shared_platform (54%)
renderdoc-skill — semantic(0.23)+complementary+same_lang+similar_pop+shared_platform (53%)
talkito — semantic(0.22)+complementary+same_lang+similar_pop+shared_platform (53%)
claude-codex-settings — semantic(0.19)+complementary+same_lang+similar_pop+shared_platform (52%)
af-deep-research — semantic(0.17)+complementary+same_lang+similar_pop+shared_platform (51%)

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Frequently Asked Questions

What is PostTrainBench?

PostTrainBench is Measuring how well CLI agents like Claude Code or Codex CLI can post-train base LLMs on a single H100 GPU in 10 hours. It is categorized as a Codex Skill with 255 GitHub stars.

What programming language is PostTrainBench written in?

PostTrainBench is primarily written in Python. It covers topics such as ai-research-automation, ai-safety, claude-code.

How do I install or use PostTrainBench?

You can find installation instructions and usage details in the PostTrainBench GitHub repository at github.com/aisa-group/PostTrainBench. The project has 255 stars and 26 forks, indicating an active community.

What license does PostTrainBench use?

PostTrainBench is released under the MIT license, making it free to use and modify according to the license terms.

View on GitHub → Browse Codex Skill tools