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Sheared LLaMA is a family of 1.3B and 2.7B large language models produced by pruning the LLaMA2 7B model and then training on only 50B tokens. The models achieve stronger performance than existing open-source models of the same scale while using significantly less compute.
AI named Sheared‑LLaMA in December 2025.