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LLaMA-7B

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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…

// co-occurs with top 3 entities
FineWeb 1 Gemma-3-4B 1 LoRA 1