Update README.md

README.md

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 ## 📖 Overview
 
-**Next-Codex 30B** is a high-performance, specialized **Mixture-of-Experts (MoE)** Large Language Model designed specifically for code generation, debugging, and software engineering tasks.
+**Next-Codex** is a high-performance, specialized **Mixture-of-Experts (MoE)** Large Language Model designed specifically for code generation, debugging, and software engineering tasks.
 
 Unlike traditional dense models, **Next-Codex** utilizes a sparse architecture with **30 Billion total parameters**, but only activates **3 Billion parameters per token**. This unique design allows it to deliver the deep reasoning capabilities of a massive model while maintaining the ultra-low latency and inference cost of a lightweight 3B model. It is fine-tuned on a massive corpus of code across 20+ programming languages, making it the most efficient coding assistant in its class.
 
@@ -99,7 +99,7 @@ Unlike traditional dense models, **Next-Codex** utilizes a sparse architecture w
 
 ## 📊 Benchmark Performance (Coding & Logic)
 
-**Next-Coder 30B** achieves state-of-the-art results among open-weights coding models, balancing extreme efficiency with high accuracy.
+**Next-Codex** achieves state-of-the-art results among open-weights coding models, balancing extreme efficiency with high accuracy.
 
 Benchmarks are being conducted...
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@@ -194,6 +194,6 @@ Licensed under the **MIT License** — free for commercial and non-commercial us
 
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-> **Next-Coder 30B** — Smart as a giant, fast as a lightweight. The future of coding is MoE.
+> **Next-Codex** — Smart as a giant, fast as a lightweight. The future of coding is MoE.
 
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