@nanjiangwill: At @modal, we're working to make sure OSS RL frameworks have all the techniques necessary to train frontier open-weight…
Summary
Modal is enhancing OSS RL frameworks with delta compression and other techniques for training frontier open-weight models. The slime framework brings lossless delta sync to disaggregated training setups.
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At @modal, we’re working to make sure OSS RL frameworks have all the techniques necessary to train frontier open-weights models.
Delta compression is key, but the job’s not done. There are still lots of open problems around weight sync, auto-scaling, & cross-cluster training.
slime (@slime_framework): @FireworksAI_HQ + @cursor_ai highlighted why delta-compressed weight sync matters for RL at frontier scale.
slime brings this capability to OSS: lossless delta sync for Megatron ↔ SGLang disaggregation — ship deltas, not full checkpoints.
This is another step toward a fully
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@charles_irl: congrats to my colleague @nanjiangwill on getting this important technique merged into slime!
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