radicalnumerics
RND1是一個實驗性的擴散語言模型，擁有300億參數，採用稀疏專家混合架構。該模型從預訓練的自迴歸基礎模型轉換而來，支持基於擴散的文本生成，每個標記僅激活30億參數，在計算效率和模型容量之間取得平衡。
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