Update README.md

README.md

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+
 ---
 license: apache-2.0
 datasets:
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 ![image/png](https://cdn-uploads.huggingface.co/production/uploads/64d1129297ca59bcf7458d07/VSplF7AM1PJPzeR9FlDhE.png)
 
-# **Model Card for UIGEN-T1**  
+# **Model Card for UIGEN-T1.1**  
 
 ## **Model Summary**  
-UIGEN-T1 is a **7-billion parameter transformer model** fine-tuned on **Qwen2.5-Coder-7B-Instruct**. It is designed for **reasoning-based UI generation**, leveraging a complex chain-of-thought approach to produce **robust HTML and CSS-based UI components**. Currently, it is limited to **basic applications such as dashboards, landing pages, and sign-up forms**.  
+UIGEN-T1.1 is a **14-billion parameter transformer model** fine-tuned on **Qwen2.5-Coder-14B-Instruct**. It is designed for **reasoning-based UI generation**, leveraging a complex chain-of-thought approach to produce **robust HTML and CSS-based UI components**. Currently, it is limited to **basic applications such as dashboards, landing pages, and sign-up forms**.  
 
 ## **Model Details**  
 
 ### **Model Description**  
-UIGEN-T1 generates **HTML and CSS-based UI layouts** by reasoning through design principles. While it has a strong **chain-of-thought reasoning process**, it is currently **limited to text-based UI elements and simpler frontend applications**. The model **excels at dashboards, landing pages, and sign-up forms**, but **lacks advanced interactivity** (e.g., JavaScript-heavy functionalities).  
+UIGEN-T1.1 generates **HTML and CSS-based UI layouts** by reasoning through design principles. While it has a strong **chain-of-thought reasoning process**, it is currently **limited to text-based UI elements and simpler frontend applications**. The model **excels at dashboards, landing pages, and sign-up forms**, but **lacks advanced interactivity** (e.g., JavaScript-heavy functionalities).  
 
 - **Developed by:** [smirki](https://huggingface.co/smirki)  
 - **Shared by:** [smirki](https://huggingface.co/smirki)  
@@ -84,7 +85,7 @@ UIGEN-T1 generates **HTML and CSS-based UI layouts** by reasoning through design
 ```python
 from transformers import AutoModelForCausalLM, AutoTokenizer
 
-model_name = "smirki/UIGEN-T1"
+model_name = "smirki/UIGEN-T1.1-14B"
 tokenizer = AutoTokenizer.from_pretrained(model_name)
 model = AutoModelForCausalLM.from_pretrained(model_name).to("cuda")
 
@@ -142,12 +143,12 @@ If using this model, please cite:
 
 **BibTeX:**  
 ```bibtex
-@misc{smirki_UIGEN-T1,
-  title={UIGEN-T1: Chain-of-Thought UI Generation Model},
+@misc{smirki_UIGEN-T1.1,
+  title={UIGEN-T1.1.1: Chain-of-Thought UI Generation Model},
   author={smirki},
   year={2025},
   publisher={Hugging Face},
-  url={https://huggingface.co/smirki/UIGEN-T1}
+  url={https://huggingface.co/smirki/UIGEN-T1.11}
 }
 ```