Liquid AIがLFM2.5-1.2B-Thinking推論モデルを発表。12億パラメータで複雑な論理推論と数学タスクに特化。約900MBのメモリ使用でモバイル端末での完全オフライン実行を実現し、データセンター依存の推論能力を個人デバイスへ移行。....
Liquid AIが新たに小型基盤モデルLFM2.5を発表。エッジデバイスやオンプレミス向けに設計され、基本版と指示版、日本語・視覚言語・音声言語バリエーションを含む。LFM2ハイブリッドアーキテクチャを基にCPU・NPU最適化で高速推論を実現。Hugging Faceでオープンソース公開。....
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