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Paper · arXiv

Pearl-Chat: Engineering a native Luganda language model from first principles in JAX and Flax NNX

Autoregressive foundation language models predominantly target high-resource Indo-European languages, imposing computational and morphological penalties on under-represented African languages. Generic multilingual tokenizers routinely exceed fertility rates of 3.2 tokens per word on agglutinative Bantu languages, degrading context efficiency and inflating latency. We present Pearl-Chat, an 8,473,122-parameter ($\sim$8.5M) causal decoder-only transformer engineered for Luganda (Oluganda, ISO 639-2: lg), a low-resource Niger-Congo Bantu language spoken by over 10 million people in East Africa. Built from first mathematical principles in JAX and Flax NNX, Pearl-Chat uses explicit functional ...

AuthorsWesley Kambale, Roland Sankara
Primary categorycs.CL
Published15 October 2026
Last updated at source15 October 2026
cs.CL
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