Home Projects understand-r1-zero
understand-r1-zero
Python

understand-r1-zero

Understanding R1-Zero-Like Training: A Critical Perspective

by sail-sg · GitHub
Stars
Forks
License
Created
Last commit
Category
Language
llmr1-zeroreasoningMITPython
View on GitHub
In plain words

Explore and understand a specific training method for AI models through provided research and code.

You maintain this project?

Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.

Claim this page →
understand-r1-zero — GitHub preview card
📈 Star history
1 2681 267
2026-07-202026-08-31
📈 Track understand-r1-zero

Get an email alert on its next release or when it starts trending — never miss the moment.

Free · no card · unsubscribe anytime
Get email alerts →
📄 About

Understanding R1-Zero-Like Training: A Critical Perspective

understand-r1-zero has 1.3k stars on GitHub. It has been forked 60 times. understand-r1-zero is written mainly in Python. It has been in active development since 2025. understand-r1-zero is available under the MIT license. Its main topics are llm, r1-zero, reasoning, rl.

Frequently asked questions

What is understand-r1-zero?

Understanding R1-Zero-Like Training: A Critical Perspective

Is understand-r1-zero open source?

understand-r1-zero is an open-source project. It is released under the MIT license.

Is understand-r1-zero free?

Yes. understand-r1-zero is free and open source — you can use, modify and self-host it.

What license does understand-r1-zero use?

understand-r1-zero is available under the MIT license.

What language is understand-r1-zero written in?

understand-r1-zero is written mainly in Python.

🏅 Maintainer of this project?
olud.ai badge — understand-r1-zero

Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.

[![olud.ai](https://olud.ai/badge.php?tool=sail-sg-understand-r1-zero)](https://olud.ai/project/sail-sg-understand-r1-zero.html)
More badge options →
🧬 Shares DNA with🧬 View the DNA map →

Measured from GitHub topics shared by both projects, weighted by how rare each topic is.