docs(readme): simplify naming line and drop top tagline

Author: root

README.md

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 </p>
 
-<p align="center">
-  <b>🚀 Significant training speedups</b> &nbsp;·&nbsp;
-  <b>🌐 Native NVIDIA GPU & Kunlun XPU support</b>
-</p>
-
 <p align="center">
   <a href="#quickstart"><b>📖 Quick Start</b></a>
   &nbsp;·&nbsp;
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 ## 💡 Why LoongForge?
 
-> 🐉 LoongForge is part of Baidu Baige's **Loong** open-source series — named after the traditional Chinese **loong boat (龙舟)**, a symbol of coordinated power and forward momentum.
+> 🐉 LoongForge is named after the traditional Chinese **loong boat (龙舟)**, a symbol of coordinated power and forward momentum.
 
 **LoongForge** is a unified training framework for **LLMs, VLMs, diffusion, and embodied models**, covering **pre-training**, **continued pre-training**, and **SFT**. Its primary goal is to provide broad coverage of mainstream open-source models while delivering efficient, high-throughput training.
 

README_zh.md

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 </p>
 
-<p align="center">
-  <b>🚀 显著的训练加速</b> &nbsp;·&nbsp;
-  <b>🌐 原生支持 NVIDIA GPU 与昆仑芯 XPU</b>
-</p>
-
 <p align="center">
   <a href="#quickstart"><b>📖 快速开始</b></a>
   &nbsp;·&nbsp;
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 ## 💡 为什么选择 LoongForge？
 
-> 🐉 LoongForge 是百度百舸 **Loong** 开源系列的一员 —— 名字源于中国传统 **龙舟**，象征协同发力与破浪前行。
+> 🐉 LoongForge 名字源于中国传统 **龙舟**，象征协同发力与破浪前行。
 
 **LoongForge** 是面向 **LLM、VLM、Diffusion 与 Embodied 模型** 的统一训练框架，覆盖 **预训练（Pre-training）**、**持续预训练（Continued Pre-training）** 和 **SFT**。其核心目标是覆盖主流开源模型，并提供高效的训练性能。