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---
license: apache-2.0
base_model:
- Tesslate/UIGEN-X-4B-0729
language:
- en
pipeline_tag: text-generation
library_name: transformers
tags:
- text-generation-inference
- UIGEN
---
# **UIGEN-X-4B-0729-f32-GGUF**
> UIGEN-X-4B-0729 is a reasoning-only UI generation model built on the Qwen3-4B architecture by Tesslate, designed to systematically plan, architect, and implement complete user interfaces across modern development stacks with a structured reasoning process including problem analysis, architecture planning, design system definition, and step-by-step implementation. It supports a comprehensive ecosystem covering 26 major categories of frameworks and libraries across 7 platforms, including web (React, Vue, Angular, Svelte, and more), mobile (React Native, Flutter, Ionic), desktop (Electron, Tauri, Flutter Desktop), and Python applications, with extensive support for styling systems, UI component libraries, state management, animation libraries, and icon systems. The model features 21 distinct visual style categories from modern design like Glassmorphism and Material Design to thematic and experimental styles. It integrates dynamic tool calling for asset fetching (e.g., Unsplash images) and content generation, enabling rapid prototyping and production development of complex UI applications.
> Optimal inference settings balance creativity and quality, and the model is suited for various use cases including enterprise solutions, educational purposes, and legacy system modernization, requiring moderate hardware and software environments.
## Model Files
| Model File name | Size | QuantType |
|---|---|---|
| UIGEN-X-4B-0729.BF16.gguf | 8.05 GB | BF16 |
| UIGEN-X-4B-0729.F16.gguf | 8.05 GB | F16 |
| UIGEN-X-4B-0729.F32.gguf | 16.1 GB | F32 |
| UIGEN-X-4B-0729.Q2_K.gguf | 1.67 GB | Q2_K |
| UIGEN-X-4B-0729.Q3_K_L.gguf | 2.24 GB | Q3_K_L |
| UIGEN-X-4B-0729.Q3_K_M.gguf | 2.08 GB | Q3_K_M |
| UIGEN-X-4B-0729.Q3_K_S.gguf | 1.89 GB | Q3_K_S |
| UIGEN-X-4B-0729.Q4_K_M.gguf | 2.5 GB | Q4_K_M |
| UIGEN-X-4B-0729.Q4_K_S.gguf | 2.38 GB | Q4_K_S |
| UIGEN-X-4B-0729.Q5_K_M.gguf | 2.89 GB | Q5_K_M |
| UIGEN-X-4B-0729.Q5_K_S.gguf | 2.82 GB | Q5_K_S |
| UIGEN-X-4B-0729.Q6_K.gguf | 3.31 GB | Q6_K |
| UIGEN-X-4B-0729.Q8_0.gguf | 4.28 GB | Q8_0 |
## Quants Usage
(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)
Here is a handy graph by ikawrakow comparing some lower-quality quant
types (lower is better):
![image.png](https://www.nethype.de/huggingface_embed/quantpplgraph.png)

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{
"model_type": "qwen3"
}

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{"framework": "pytorch", "task": "text-generation", "allow_remote": true}