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• More models support

  Support more customized models; Support and optimize more automatic parallelism for HF model usage.

  Due by December 31, 2025

  •1/2 issues closed
  50% complete1 open1 closed

• Training convergence verification and optimization

  Verify training convergence at various tasks and settings; Match or enhance the convergence compared to other frameworks; Start from on-policy mode to async mode; New techniques to enhance training convergence for async mode.

  Due by December 31, 2025

  •2/3 issues closed
  66% complete1 open2 closed

• Memory consumption analysis and optimization

  Analyze memory consumption saving under various optimization techniques; Compare memory consumption with other frameworks like Verl; More memory optimization techniques; Enable efficient long token training.

  Due by December 31, 2025

  •1/3 issues closed
  33% complete2 open1 closed