Code & Development · GitHub ·261 ★

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

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Details

Author
aisa-group
Category
Code & Development
Platform
GitHub
Framework
custom
Language
python
Stars
261
First indexed
2026-05-15
Last active
2026-04-07
Directory sync
2026-05-15
@aisa-group

Overview

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

Quick start

git

git clone https://github.com/aisa-group/PostTrainBench

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What PostTrainBench can do

llmresearchcode
  • Llm — llm task automation.
  • Research — Searches sources and synthesises evidence-based answers.
  • Code — Reads and modifies code in your repository.

Frequently asked questions

What is 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
How do I install PostTrainBench?
Use git: `git clone https://github.com/aisa-group/PostTrainBench`. Full setup details on the source page linked above.
Is PostTrainBench open source?
PostTrainBench is published on GitHub.
What are alternatives to PostTrainBench?
Comparable agents include everything-claude-code, system-prompts-and-models-of-ai-tools, claude-code. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for PostTrainBench is sourced from GitHub, published by aisa-group.

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