#后训练RL

The release exposes full training pipelines tuned for Ascend hardware, making it a rare reference for teams that want to reproduce or fine-tune large models outside the NVIDIA ecosystem. Developers running Ascend clusters or evaluating Chinese domestic chips can use the repos as working baselines for pretraining and RL post-training. It also gives a concrete counterpoint to Meta's Llama-style open release playbook.