Update README.md

README.md

@@ -1,23 +1,124 @@
 ---
-base_model: unsloth/Qwen2.5-Coder-14B-Instruct
+base_model:
+- Qwen/Qwen2.5-Coder-14B-Instruct
 tags:
 - text-generation-inference
 - transformers
-- unsloth
 - qwen2
 - trl
-- sft
 license: apache-2.0
 language:
 - en
+datasets:
+- Tesslate/UIGEN-T1.5-Dataset
 ---
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/64d1129297ca59bcf7458d07/bCWPiMgNitTrrONN3SVpw.png)
+*Landing page showcasing visual richness*
 
-# Uploaded  model
+# **Model Card for UIGEN-T1.5**
 
-- **Developed by:** Tesslate
-- **License:** apache-2.0
-- **Finetuned from model :** unsloth/Qwen2.5-Coder-14B-Instruct
+---
+
+## **Model Overview**
+
+UIGEN-T1.5 is an advanced transformer-based UI generation model fine-tuned from **Qwen2.5-Coder-14B-Instruct**, specifically enhanced to produce stunning, modern, and unique frontend user interfaces. Leveraging sophisticated reasoning and chain-of-thought methodologies, UIGEN-T1.5 excels at generating highly structured and visually compelling HTML and CSS code, ideal for sleek dashboards, engaging landing pages, and intuitive sign-up forms.
+
+---
+
+## **Model Highlights**
+
+- **Advanced UI Styles**: Produces sleek, modern, and unique designs.
+- **Chain-of-Thought Reasoning**: Enhanced reasoning capabilities for accurate HTML/CSS layouts.
+- **High Usability**: Generates responsive and production-ready frontend code.
+
+---
+
+## **Visual Examples**
+
+*See examples below showcasing UIGEN-T1.5-generated interfaces:*
+
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/64d1129297ca59bcf7458d07/T4nz0JBAvYdwPVpZ_sb3g.png)
+*Dashboard UI generated by UIGEN-T1.5*
+
+
+---
+
+## **Use Cases**
+
+### **Recommended Uses**
+- **Dashboards**: Insightful and visually appealing data interfaces.
+- **Landing Pages**: Captivating and high-conversion web pages.
+- **Authentication Screens**: Elegant sign-up and login interfaces.
+
+### **Limitations**
+- **Limited Interactivity**: Minimal JavaScript functionality, focusing on HTML/CSS.
+- **Prompt Engineering**: May require specific prompts (e.g., appending "answer").
+
+---
 
-This qwen2 model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
+## **How to Use**
+
+### **Inference Example**
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model_name = "smirki/UIGEN-T1.5"
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForCausalLM.from_pretrained(model_name).to("cuda")
+
+prompt = """<|im_start|>user
+Design a sleek, modern dashboard for monitoring solar panel efficiency.<|im_end|>
+<|im_start|>assistant
+<|im_start|>think
+"""
+
+inputs = tokenizer(prompt, return_tensors="pt").to("cuda")
+outputs = model.generate(**inputs, max_new_tokens=12012, do_sample=True, temperature=0.7)
+
+print(tokenizer.decode(outputs[0], skip_special_tokens=True))
+```
+
+---
+
+## **Performance and Evaluation**
+
+- **Strengths**:
+  - High-quality UI generation.
+  - Strong reasoning capabilities for structured layouts.
+
+- **Weaknesses**:
+  - Occasional repetitive design patterns.
+  - Minor artifacting in complex designs.
+
+---
+
+## **Technical Specifications**
+
+- **Architecture**: Transformer-based LLM
+- **Base Model**: Qwen2.5-Coder-7B-Instruct
+- **Precision**: bf16 mixed precision, quantized to q8
+- **Hardware Requirements**: Recommended 12GB VRAM
+- **Software Dependencies**:
+  - Hugging Face Transformers
+  - PyTorch
+
+---
+
+## **Citation**
+
+```bibtex
+@misc{Tesslate_UIGEN-T1.5,
+  title={UIGEN-T1.5: Advanced Chain-of-Thought UI Generation Model},
+  author={smirki},
+  year={2025},
+  publisher={Hugging Face},
+  url={https://huggingface.co/Tesslate/UIGEN-T1.5}
+}
+```
+
+---
 
-[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
+## **Contact & Community**
+- **Creator:** [smirki](https://huggingface.co/Tesslate)
+- **Repository & Demo**: Coming soon!