Update README.md

README.md

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 **Highlights**
 - Half the size of SOTA models like QWQ-32b and EXAONE-32b and hence **memory efficient**.
-- It consumes a consumes **40%** less tokens compared to QWQ-32b, making it super efficient in production. 🚀🚀🚀
+- It consumes **40%** less tokens compared to QWQ-32b, making it super efficient in production. 🚀🚀🚀
 - On par or outperforms on tasks like - MBPP, BFCL, Enterprise RAG, MT Bench, MixEval, IFEval and Multi-Challenge making it great for **Agentic / Enterprise tasks**.
 - Competitive performance on academic benchmarks like AIME-24 AIME-25, AMC-23, MATH-500 and GPQA considering model size.