FP8-RL delivers up to 44% faster rollouts in LLM RL by using blockwise FP8 quantization, KV-cache recalibration, and importance-sampling corrections while keeping learning behavior close to BF16 baselines.
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FP8-RL: A Practical and Stable Low-Precision Stack for LLM Reinforcement Learning
FP8-RL delivers up to 44% faster rollouts in LLM RL by using blockwise FP8 quantization, KV-cache recalibration, and importance-sampling corrections while keeping learning behavior close to BF16 baselines.