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Tag: #mu-p3 results

Hyperparameter Transfer Across All Scaling Axes

Hyperparameter Transfer Across All Scaling Axes

Apple ML extends μP for hyperparameter transfer across model sizes, modules, width, depth, batch, and duration. Introduces Complete(d) Parameterisation unifying width-depth scaling. Enables optimal base hyperparameters search at small scales for large model transfer.

Apple Machine LearningOfficialFeb 13#research#apple-ml#mu-p
Hyperparam Transfer Across All Scales

Hyperparam Transfer Across All Scales

Apple extends μP for hyperparameter transfer across modules, width, depth, batch, and duration. Introduces Complete(d) Parameterisation unifying width-depth scaling. Enables optimal hypers from small to large models.

Apple Machine LearningOfficialFeb 13#research#apple-ml#mu-p
Complete Hyperparameter Transfer for Scaling

Complete Hyperparameter Transfer for Scaling

Apple ML extends μP parameterisations with Complete(d) Parameterisation for hyperparameter transfer. Covers scaling across modules, width, depth, batch size, and duration. Enables optimal hyperparameter search on small models for transfer to large-scale ones.

Apple Machine LearningOfficialFeb 13#research#apple-ml#mu-p
Ox Alpha:神秘模型公開亮相

Ox Alpha:神秘模型公開亮相

Ox Alpha 是一款透過 OpenRouter 與 OpenCode 提供的匿名模型,具備 100 萬 token 上下文、圖片與影片輸入、工具呼叫及免費使用等能力。早期測試顯示其推理與程式設計表現強勁,但開發者、參數量、訓練資料與正式基準排名仍未獲確認。