Update README.md

README.md

@@ -11,21 +11,22 @@ We are thrilled to introduce Seed-Coder, a powerful, transparent, and parameter-
 - Transparent: We openly share detailed insights into our model-centric data pipeline, including methods for curating GitHub data, commits data, and code-related web data.
 - Powerful: Seed-Coder achieves state-of-the-art performance among open-source models of comparable size across a diverse range of coding tasks.
 
+<p align="center">
+  <img width="100%" src="imgs/seed-coder_intro_performance.jpg">
+</p>
 
 ## Highlight
 
 
-**Seed-Coder-8B-Base** is an 8-billion-parameter foundation model tailored for code understanding and generation. It is designed to provide developers with a powerful, general-purpose code model capable of handling a wide range of coding tasks. It features: 
-- Pretrained on a **massively curated corpus**, filtered using **LLM-based techniques** to ensure high-quality real-world code, resulting in cleaner and more effective learning signals.
-- Excels at **code completion** and supports **Fill-in-the-Middle (FIM)** tasks, enabling it to predict missing code spans given partial contexts.
-- Robust performance across **various programming languages** and **code reasoning scenarios**, making it ideal for downstream finetuning or direct use in code generation systems.
-- **Long-context support** up to 32K tokens, enabling it to handle large codebases, multi-file projects, and extended editing tasks.
+Seed-Coder-8B-Base is an 8-billion-parameter foundation model tailored for code understanding and generation. It is designed to provide developers with a powerful, general-purpose code model capable of handling a wide range of coding tasks. It features: 
+- Pretrained on a massively curated corpus, filtered using **LLM-based techniques** to ensure high-quality real-world code, resulting in cleaner and more effective learning signals.
+- Excels at code completion and supports Fill-in-the-Middle (FIM) tasks, enabling it to predict missing code spans given partial contexts.
+- Robust performance across various programming languages, making it ideal for downstream finetuning or direct use in code generation systems.
+- Long-context support up to 32K tokens, enabling it to handle large codebases, multi-file projects, and extended editing tasks.
 
 Seed-Coder-8B-Base serves as the foundation for Seed-Coder-8B-Instruct and Seed-Coder-8B-reasoning.
 
-<p align="center">
-  <img width="100%" src="imgs/seed-coder_intro_performance.jpg">
-</p>
+
 
 ## Model Downloads
 | Model Name                  | Length | Download   |    Notes |