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Gemma-3-4B

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04:00
2026-07-15
arxiv.org
large-language-models

Scaling Point-in-Time Language Models

Researchers trained point-in-time language models on up to 4 billion parameters using 1 trillion chronologically filtered tokens, achieving performance close to unrestricted models like Gemma-3-4B and…

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