
During July 2025, this developer focused on backend stability for the modelscope/ms-swift repository, addressing a persistent issue in the multi-turn training data pipeline. They identified and resolved a bug in the Python-based inputs_to_rolloutrequest function, where repeated calls previously led to nested data_dict structures and potential data corruption. By refactoring the data merging logic, they ensured that existing and new data were combined correctly, maintaining interface compatibility and improving the robustness of data handling during training. Their work demonstrated careful attention to detail in bug fixing and backend development, contributing to more reliable and consistent model training workflows.

July 2025: Stabilized the multi-turn training data flow in modelscope/ms-swift by fixing a bug in inputs_to_rolloutrequest and tightening the data_dict merging logic. This improvement reduces training instability and ensures consistent rollout request construction across repeated calls.
July 2025: Stabilized the multi-turn training data flow in modelscope/ms-swift by fixing a bug in inputs_to_rolloutrequest and tightening the data_dict merging logic. This improvement reduces training instability and ensures consistent rollout request construction across repeated calls.
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