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Laya: A 421M-Parameter AI Model That Returns Decisions, Not Text

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Laya is a compact, non-autoregressive AI model with 322M–421M parameters designed to output structured decisions with probability scores rather than generating natural language responses. Unlike traditional large language models, users define possible decision categories in advance and Laya selects the best match for a given input. A developer tested the model on an Apple M4 Mac mini with 16GB RAM, running experiments across English and Hindi text, multiple-choice decision sets, and longer inputs. The model also includes a multilingual checkpoint and a fine-tuned variant for typed decision tasks. The author suggests Laya is best suited as a lightweight decision layer working alongside a larger LLM, rather than as a standalone replacement.

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