---
license: apache-2.0
base_model:
- prithivMLmods/Muscae-Qwen3-UI-Code-4B
language:
- en
pipeline_tag: text-generation
library_name: transformers
tags:
- trl
- text-generation-inference
- code
- ui
---

![1](https://cdn-uploads.huggingface.co/production/uploads/65bb837dbfb878f46c77de4c/_UrkAVj1OC_-XlCv7uIdD.png)

# **Octans-Qwen3-UI-Code-4B**

> **Octans-Qwen3-UI-Code-4B** is an **optimized successor** of **Muscae-Qwen3-UI-Code-4B**, fine-tuned for enhanced **UI reasoning precision**, **layout structuring**, and **frontend code synthesis**.
> Built upon **Qwen3-4B** and refined through **Abliterated Reasoning Optimization**, it delivers **balanced, structured, and production-grade** UI code outputs for experimental and research use.
> Ideal for **frontend developers**, **UI engineers**, and **design system researchers** exploring next-generation code synthesis.

> [!note]
> GGUF: [https://huggingface.co/prithivMLmods/Octans-Qwen3-UI-Code-4B-GGUF](https://huggingface.co/prithivMLmods/Octans-Qwen3-UI-Code-4B-GGUF)

## **Key Features**

1. **Enhanced UI-Oriented Reasoning**
   Upgraded reasoning calibration from *Muscae* with deeper token optimization for **frontend logic**, **layout reasoning**, and **component cohesion**.

2. **Refined Web UI Component Generation**
   Generates **responsive, accessible**, and **semantic** UI components with **Tailwind**, **React**, and **HTML5**, ensuring cleaner syntax and reduced redundancy.

3. **Improved Layout-Aware Structure**
   Demonstrates superior understanding of **hierarchical design**, **stateful components**, and **responsive alignment**, enhancing multi-device compatibility.

4. **Optimized Hybrid Reasoning Engine**
   Integrates symbolic and probabilistic logic for **event-driven** UI workflows, conditional rendering, and state synchronization in code outputs.

5. **Structured Output Excellence**
   Produces consistent results in **HTML**, **React**, **Markdown**, **JSON**, and **YAML**, suitable for **UI prototyping**, **design systems**, and **auto-documentation**.

6. **Lightweight and Deployable**
   Maintains a **4B parameter** scale, optimized for **mid-range GPUs**, **edge inference**, or **offline environments**, without compromising structure or reasoning depth.

## **Quickstart with Transformers**

```python
from transformers import AutoModelForCausalLM, AutoTokenizer

model_name = "prithivMLmods/Octans-Qwen3-UI-Code-4B"

model = AutoModelForCausalLM.from_pretrained(
    model_name,
    torch_dtype="auto",
    device_map="auto"
)
tokenizer = AutoTokenizer.from_pretrained(model_name)

prompt = "Generate a responsive dashboard layout with Tailwind and modular React components."

messages = [
    {"role": "system", "content": "You are a frontend coding assistant skilled in UI generation, semantic HTML, and structured React components."},
    {"role": "user", "content": prompt}
]

text = tokenizer.apply_chat_template(
    messages,
    tokenize=False,
    add_generation_prompt=True
)

model_inputs = tokenizer([text], return_tensors="pt").to(model.device)

generated_ids = model.generate(
    **model_inputs,
    max_new_tokens=512
)
generated_ids = [
    output_ids[len(input_ids):] for input_ids, output_ids in zip(model_inputs.input_ids, generated_ids)
]

response = tokenizer.batch_decode(generated_ids, skip_special_tokens=True)[0]
print(response)
```

## **Intended Use**

* Advanced web UI and component code generation
* Responsive frontend prototyping with Tailwind/React
* Research on **structured reasoning** in code synthesis
* Semantic, design-system-aligned component generation
* Experimental projects exploring **UI intelligence modeling**

## **Limitations**

* Research-focused model – not fine-tuned for production-critical pipelines
* Specialized for **UI code** – not suitable for general text generation or long-form reasoning
* May exhibit variability with **cross-framework** or **overextended prompts**
* Prioritizes **code structure and logic clarity** over aesthetic or creative expression.