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--- |
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license: mit |
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language: |
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- en |
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base_model: |
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- Tesslate/UIGEN-T2-7B |
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pipeline_tag: text-generation |
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library_name: transformers |
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tags: |
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- PEFT |
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- Qwen2 |
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- UI-Generation |
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- tailwind-css |
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- html |
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--- |
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# Tesslate/UIGEN-T2-7B (GGUF Q4) - Sandlogic Lexicons |
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## Model Overview |
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**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. |
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## Model Highlights |
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- **Architecture**: Based on Qwen2.5-Coder-7B-Instruct (decoder-only transformer) |
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- **Quantization Format**: GGUF Q4 |
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- **LoRA Fine-Tuning**: PEFT/LoRA (Rank 128), with checkpoints published at each training stage |
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- **Training Dataset**: 50,000 high-quality UI examples (up from 400 in the previous version) |
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- **Code Output**: Semantic HTML and utility-first Tailwind CSS |
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- **UI-Based Reasoning**: Incorporates guidance from a reasoning teacher model to ensure usability and aesthetics |
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- **Chat Interface**: Improved prompt interaction for seamless developer experience |
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## Intended Use Cases |
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### Recommended Applications |
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- **Rapid UI Prototyping** |
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Generate clean, production-ready HTML/Tailwind code from natural language descriptions or wireframes. |
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- **Component Generation** |
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Create both standard (buttons, forms, cards) and custom components based on user-defined design goals. |
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- **Frontend Development Assistant** |
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Accelerate development by producing baseline layouts and component structures for web interfaces. |
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- **Design-to-Code Exploration** |
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Bridge the gap between visual design and code implementation, especially helpful for non-developers or design teams. |
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## Model Integration |
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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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