Shypd.aiThe largest open index of AI toolssimple_GRPO is an open-source research and education tool that provides a very simple implementation of the GRPO algorithm. It is designed for reproducing r1-like LLM thinking and efficient training.
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simple_GRPO is an open-source implementation of the GRPO algorithm, specifically designed for reproducing r1-like LLM thinking. It utilizes a core loss calculation formula referenced from Hugging Face's trl, but with a significantly simplified codebase. The tool aims to save GPU memory, enabling feasible and efficient training, and helps users quickly understand and experiment with Reinforcement Learning processes like GRPO. It supports features such as improved multi-answer generation, regrouping, penalty on KL, and parameter tuning, all within approximately 200 lines of code across two files. The reference model is decoupled, allowing it to run on separate GPUs, which prevents multiple copies from being created by torch’s multiprocessing and enables training of large models on less powerful hardware.
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