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Current translation benchmarks miss critical real-world constraints: IFMTBench shows instruction following scales more sharply with model size than translation quality, and general instruction following rankings correlate weakly with translation behavior.
A 440MB multilingual translation model now rivals commercial APIs, opening the door for performant on-device translation.