Update README.md

README.md

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 **QwQ-32B-Preview** is an experimental research model developed by the Qwen Team, focused on advancing AI reasoning capabilities. As a preview release, it demonstrates promising analytical abilities while having several important limitations:
 
-1. **Language Mixing and Code-Switching**: The model may occasionally mix languages or switch between them unexpectedly, affecting response coherence and clarity.
-2. **Recursive Reasoning Loops**: When handling complex logical problems, the model may fall into repetitive reasoning patterns, leading to circular logic without reaching a conclusive answer.
-3. **Safety and Ethical Considerations**: The model may occasionally generate inappropriate, biased, or harmful content and is susceptible to adversarial prompting. Users should implement safeguards when deploying the model. We are actively improving these safety mechanisms.
-4. **Performance and Benchmark Limitations**: While QwQ-32B-Preview excels in mathematics and coding, it has inconsistent performance in common sense reasoning, multi-step deduction, and nuanced language tasks. Performance varies based on task complexity and domain specificity. We are working to improve its capabilities across a broader range of benchmarks.
+1. **Language Mixing and Code-Switching**: The model may mix languages or switch between them unexpectedly, affecting response clarity.
+2. **Recursive Reasoning Loops**: The model may enter circular reasoning patterns, leading to lengthy responses without a conclusive answer.
+3. **Safety and Ethical Considerations**: The model requires enhanced safety measures to ensure reliable and secure performance, and users should exercise caution when deploying it.
+4. **Performance and Benchmark Limitations**: The model excels in math and coding but has room for improvement in other areas, such as common sense reasoning and nuanced language understanding.
 
 **Specification**:
 - Type: Causal Language Models