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FP8-RL: A Practical and Stable Low-Precision Stack for LLM Reinforcement Learning

Intermediate

Zhaopeng Qiu, Shuang Yu et al.Jan 26arXiv

The paper shows how to speed up reinforcement learning (RL) for large language models (LLMs) by making numbers smaller (FP8) without breaking training.

#FP8 quantization#LLM reinforcement learning#KV-cache

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FP8-RL: A Practical and Stable Low-Precision Stack for LLM Reinforcement Learning