Update README.md

README.md

@@ -7,9 +7,9 @@ license: mit
 ## Introduction
 We are thrilled to introduce Seed-Coder, a powerful, transparent, and parameter-efficient family of open-source code models at the 8B scale, featuring base, instruct, and reasoning variants. Seed-Coder contributes to promote the evolution of open code models through the following highlights.
 
-- Model-centric: Seed-Coder predominantly leverages LLMs instead of hand-crafted rules for code data filtering, minimizing manual effort in pretraining data construction.
-- 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.
+- **Model-centric:** Seed-Coder predominantly leverages LLMs instead of hand-crafted rules for code data filtering, minimizing manual effort in pretraining data construction.
+- **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.
 
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   <img width="100%" src="imgs/seed-coder_intro_performance.jpg">
@@ -96,6 +96,7 @@ print(output[0]["generated_text"])
 ## Evaluation
 
 Seed-Coder-8B-Base has been evaluated across a variety of code understanding and generation benchmarks.  
+
 It demonstrates strong capabilities in:
 - Fluent and contextually appropriate code completion.
 - Reasoning about code structure and inferring missing logic.