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Before attributing multilingual quantization loss, validate the likelihood path

DEV Community: nlp·Mo Al Mamun (Mamun)·1 day ago
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My long-term goal is to make capable multilingual models practical on personal devices while preserving their usefulness across languages. I want to measure what compression changes, identify which parts of a model need more precision, and test whether allocating that precision differently can preserve quality within the same deployment size budget. Bangla is the language I want to investigate most deeply, with comparisons across other languages to keep the conclusions honest. The eventual test is both linguistic and practical: what can people do with the model, and what does it cost to run on a real device?

The starting point is personal. As a Canadian, I feel a particular connection to Cohere and want to explore what can be built with its multilingual models. This is independent work, not a claim of Cohere affiliation or endorsement. As a Bangla speaker, I also want this work to address a language I use and care about. Choosing Cohere's Tiny Aya and making Bangla the focus brings those interests together.…

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