sylvain-wei/24-Game-Reasoning

超简单复现Deepseek-R1-Zero和Deepseek-R1,以「24点游戏」为例。通过zero-RL、SFT以及SFT+RL,以激发LLM的自主验证反思能力。 About Clean, minimal, accessible reproduction of DeepSeek R1-Zero, DeepSeek R1

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Experimental

This project helps AI researchers and developers improve how large language models (LLMs) solve mathematical problems. It takes an existing LLM and trains it using different techniques with the classic 24 Game. The output is a more accurate and robust LLM capable of better mathematical reasoning and self-correction, which can then be applied to other complex logical tasks.

No commits in the last 6 months.

Use this if you are developing or fine-tuning large language models and need to enhance their mathematical reasoning and self-verification abilities.

Not ideal if you are a casual user looking for a ready-to-play 24 Game solver or a general-purpose AI, as this is a research-focused development tool.

LLM-fine-tuning AI-research mathematical-reasoning reinforcement-learning model-evaluation
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 7 / 25
Maturity 8 / 25
Community 6 / 25

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Language

Python

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Last pushed

Apr 05, 2025

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