How LLaMA Preprocesses Training Data with CCNet Before Model Training

Before training large language models like LLaMA, MetaAI applies a multi‑stage CCNet pipeline that crawls web data, stores it in WET format, deduplicates paragraphs, detects and filters languages using fastText, and further refines content by similarity to Wikipedia and citation‑based linear models.

CCNetLLaMAdata preprocessing

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How LLaMA Preprocesses Training Data with CCNet Before Model Training