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LFM3

six 2B-class models (text, vision, audio, omni, decision) on one new tri-hybrid backbone t6 个 2B 级模型(文本、视觉、音频、全模态、决策)共用一个新的三重混合架构底座,预训练 22T token;
6 个 2B 级模型(文本、视觉、音频、全模态、决策)共用一个新的三重混合架构底座,预训练 22T token;six 2B-class models (text, vision, audio, omni, decision) on one new tri-hybrid backbone t
Global4First seen 2026-10-28

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Each row’s methodology is given by the list name (MAU, traffic and token usage differ), so rows are not comparable. AICPB does not disclose its collection method.

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