Bolmo’s architecture unlocks efficient byte‑level LM training without sacrificing quality

Enterprises that want tokenizer-free multilingual models are increasingly turning to byte-level language models to reduce brittleness in noisy or low-resource text. To tap into that niche — and make it practical at scale — the Allen Institute of AI (Ai2) introduced Bolmo, a new family of models that leverage its Olmo 3 models by “bytefiying” them and reusing their backbone and capabilities…
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发布者:Ram Iyer,转转请注明出处:https://robotalks.cn/bolmos-architecture-unlocks-efficient-byte%e2%80%91level-lm-training-without-sacrificing-quality/

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