Open-Sourcing GLM Training Stack: Solving RL Train-Rollout Numerical Mismatch
hsu_byron · x · 2026-08-11
Slime Framework has open-sourced its deterministic train–rollout alignment stack used for GLM-5.2-scale training.
The release tackles the persistent numerical mismatch between training and rollout in RL infrastructure. The stack includes comprehensive support for FP8 weights + FP8 KV rollout, DeepEP, DeepGEMM, and sparse attention, offering a tradeoff-free solution for production-scale alignment.
Related event: Zhipu Open-Sources Slime RL Framework(2 posts)→
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