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MAP Neo is a fully open-sourced bilingual large language model with 7 billion parameters, trained from scratch on 4.5 trillion high-quality tokens. It provides all training details, including the cleaned pre-training corpus, data cleaning pipeline, checkpoints, and training framework, to enhance transparency and reproducibility in LLM research.
AI named MAP-Neo in February 2026.