Create README.md

README.md

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+---
+license: mit
+language:
+- en
+base_model:
+- Tesslate/UIGEN-T2-7B
+pipeline_tag: text-generation
+library_name: transformers
+tags:
+- PEFT
+- Qwen2
+- UI-Generation
+- tailwind-css
+- html
+---
+# Tesslate/UIGEN-T2-7B (GGUF Q4) - Sandlogic Lexicons
+
+## Model Overview
+
+**UIGEN-T2-7B** is the latest innovation in the UIGEN model series by Tesslate, engineered specifically for high-quality, design-aware user interface (UI) code generation. Built on the strong foundation of the **Qwen2.5-Coder-7B-Instruct** model and fine-tuned using **PEFT/LoRA** (Rank 128), UIGEN-T2 has been trained on a significantly larger dataset of **50,000 annotated UI samples**. This enables it to generate not only functional HTML and Tailwind CSS code but also code that aligns with usability, design structure, and modern layout principles.
+
+## Model Highlights
+
+- **Architecture**: Based on Qwen2.5-Coder-7B-Instruct (decoder-only transformer)
+- **Quantization Format**: GGUF Q4
+- **LoRA Fine-Tuning**: PEFT/LoRA (Rank 128), with checkpoints published at each training stage
+- **Training Dataset**: 50,000 high-quality UI examples (up from 400 in the previous version)
+- **Code Output**: Semantic HTML and utility-first Tailwind CSS
+- **UI-Based Reasoning**: Incorporates guidance from a reasoning teacher model to ensure usability and aesthetics
+- **Chat Interface**: Improved prompt interaction for seamless developer experience
+
+## Intended Use Cases
+
+### Recommended Applications
+
+- **Rapid UI Prototyping**  
+  Generate clean, production-ready HTML/Tailwind code from natural language descriptions or wireframes.
+
+- **Component Generation**  
+  Create both standard (buttons, forms, cards) and custom components based on user-defined design goals.
+
+- **Frontend Development Assistant**  
+  Accelerate development by producing baseline layouts and component structures for web interfaces.
+
+- **Design-to-Code Exploration**  
+  Bridge the gap between visual design and code implementation, especially helpful for non-developers or design teams.
+
+## Model Integration
+
+This quantized **Q4 GGUF** version of UIGEN-T2-7B is now part of the [Sandlogic Lexicons](https://huggingface.co/SandLogicTechnologies) model zoo. It is optimized for efficient inference on edge and constrained environments, without compromising on code quality or reasoning capability.
+
+
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