Update README.md

README.md

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 ## 1. Introduction
 
 
-`Klear-46B-A2.5B` is a sparse Mixture-of-Experts (MoE) large language model developed by **the Kwai-Klear Team at Kuaishou**, designed to deliver both **high performance** and **inference efficiency**. It features **256 experts**, with only **8 activated** per forward pass, resulting in **46 billion total parameters** but just **2.5 billion active** — achieving dense-level performance at a fraction of the computational cost.
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+`Klear-46B-A2.5B` is a sparse Mixture-of-Experts (MoE) large language model developed by **the Kwai-Klear Team at Kuaishou**, designed to deliver both **high performance** and **inference efficiency**. It features **256 experts**, with only **8 experts and 1 shared expert activated** per layer during the forward pass, resulting in **46 billion total parameters** but just **2.5 billion active** — achieving dense-level performance at a fraction of the computational cost.
 The model was trained on over **22 trillion tokens** using a **three-stage progressive curriculum**:
 
 **1. Foundational Knowledge Learning (12T tokens):**