An int8 CTranslate2 conversion of VietAI/envit5-translation (275M T5, English ↔ Vietnamese).

FLORES-200 devtest, 300 sentences, CPU, beam 1: vi→en chrF2 64.9, en→vi chrF2 60.9. Note: greedy decoding (beam 1) scores higher than beam 4 on chrF for this model (beam search drifts paraphrastic); COMET-22 rates the two beams equal, so beam 1 is the recommended operating point.

Inputs take a vi: / en: source-language prefix; the model may echo a target prefix which should be stripped:

Original model by VietAI (paper: MTet: Multi-domain Translation for English and Vietnamese), released under an OpenRAIL license; the same license and its use restrictions apply to this quantized redistribution.