Update README.md

README.md

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 response = tokenizer.batch_decode(generated_ids, skip_special_tokens=True)[0]
-```
+```
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+# **Intended Use:**  
+QwQ-SuperNatural-3B is designed for:  
+1. **Role-play and interactive chatbots:** It excels in generating contextually relevant and engaging supernatural-themed responses.  
+2. **Long-form content generation:** Its capability to handle over 8,000 tokens makes it suitable for generating detailed narratives, articles, or creative writing.  
+3. **Structured data understanding:** The model can process and interpret structured inputs such as tables, schemas, and JSON formats, making it useful for data-driven applications.  
+4. **Dynamic prompt responses:** Its resilience to diverse prompts makes it ideal for applications requiring adaptable behavior, such as virtual assistants and domain-specific simulations.  
+
+# **Limitations:**  
+1. **Domain specificity:** While fine-tuned for supernatural contexts, its general knowledge might be less accurate or nuanced outside this domain.  
+2. **Token constraints:** Although capable of generating long texts, extremely large inputs or outputs might exceed processing limits.  
+3. **Bias and creativity trade-offs:** The model may reflect biases present in its training data and could produce less creative or diverse outputs in domains where it lacks fine-tuning.  
+4. **Reliance on input clarity:** Ambiguous or poorly structured prompts can lead to less coherent or contextually accurate responses.  
+5. **Computational requirements:** Handling a model with 3 billion parameters requires significant computational resources, which may limit its accessibility for smaller-scale applications.