Update README.md

README.md

@@ -80,12 +80,6 @@ response = tokenizer.batch_decode(generated_ids, skip_special_tokens=True)[0]
 6. **Extended Content Generation**:  
    Capable of generating long-form content (over 8K tokens), useful for writing reports, articles, and creating detailed instructional guides.  
 
-7. **Interactive Role-Playing and Chatbots**:  
-   Enhanced capabilities for role-playing and condition-setting, making it ideal for interactive chatbots, virtual assistants, and entertainment purposes.  
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-8. **Large-Context Tasks**:  
-   With a context window of up to 128K tokens, it is ideal for analyzing or generating large documents, books, or datasets in a single session.  
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 # **Limitations**  
 1. **Hardware Requirements**:  
    Due to its 20B parameter size and support for long-context inputs, running the model requires significant computational resources, including high-memory GPUs or TPUs.  
@@ -103,10 +97,4 @@ response = tokenizer.batch_decode(generated_ids, skip_special_tokens=True)[0]
    In generating long texts, minor errors in early outputs can sometimes propagate, reducing the overall coherence and accuracy of the response.  
 
 6. **Dependency on High-Quality Prompts**:  
-   Performance may depend on the quality and specificity of the input prompt, requiring users to carefully design queries for optimal results.  
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-7. **Sensitivity to Adversarial Inputs**:  
-   The model may struggle with adversarial or ambiguous inputs, leading to incorrect or irrelevant outputs.  
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-8. **Ethical and Safety Concerns**:  
-   Potential misuse in generating misleading, harmful, or offensive content remains a concern, and guardrails must be implemented to ensure responsible use.  
+   Performance may depend on the quality and specificity of the input prompt, requiring users to carefully design queries for optimal results.