What is model merging (e.g. model soups, task arithmetic), and why is it useful?

Combine several fine-tunes into one model by doing arithmetic on their weights, with no retraining and no data. The signal is knowing why it works and which method to reach for when merges interfere.

Updated Aug 2026 · Grounded in real Applied AI Engineer interview loops and written to a senior-engineer editorial bar.

Combine several fine-tunes into one model by doing arithmetic on their weights, with no retraining and no data. The signal is knowing why it works and which method to reach for when merges interfere.

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