minor typo

README.md

@@ -32,7 +32,7 @@ Introducing **Qwen3-Coder-REAP-25B-A3B**, a **memory-efficient compressed varian
 
 This model was created using **REAP (Router-weighted Expert Activation Pruning)**, a novel expert pruning method that selectively removes redundant experts while preserving the router's independent control over remaining experts. Key features include:
 
-- **Near-Lossless Performance**: Maintains almost identical accuracy on code generation, agentic coding, and function calling tasks compared to the full 25B model
+- **Near-Lossless Performance**: Maintains almost identical accuracy on code generation, agentic coding, and function calling tasks compared to the full 30B model
 - **20% Memory Reduction**: Compressed from 30B to 25B parameters, significantly lowering deployment costs and memory requirements
 - **Preserved Capabilities**: Retains all core functionalities including code generation, agentic workflows, repository-scale understanding, and function calling
 - **Drop-in Compatibility**: Works with vanilla vLLM - no source modifications or custom patches required