File size: 3,975 Bytes
ed098c5 1a211c8 2cf09b9 1a211c8 46c425c 1a211c8 553b2b4 6013280 1a211c8 6e6bd0f 1a211c8 3c79afb 1a211c8 ed098c5 8a0879e e5eab22 ed098c5 e5eab22 ed098c5 e5eab22 ed098c5 e5eab22 ed098c5 e5eab22 ed098c5 e5eab22 ed098c5 e5eab22 ed098c5 e5eab22 ed098c5 e5eab22 ed098c5 e5eab22 ed098c5 e5eab22 ed098c5 e5eab22 3c79afb |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 |
---
license: apache-2.0
language:
- en
- zh
library_name: transformers
tags:
- trl
- gpt_oss
- code
- ui
- web
- .tsx
- .html
- .css
- abliterated
- text-generation-inference
- web-ui
base_model:
- Tesslate/UIGEN-T3-4B-Preview
pipeline_tag: text-generation
---
# **Muscae-Qwen3-UI-Code-4B**
> **Muscae-Qwen3-UI-Code-4B** is a web-UI-focused model fine-tuned on UIGEN-T3-4B-Preview (built upon **Qwen3-4B**) for **controlled Abliterated Reasoning** and **polished token probabilities**, designed **exclusively for experimental use**.
> It excels at **modern web UI coding tasks**, **structured component generation**, and **layout-aware reasoning**, making it ideal for frontend developers, UI engineers, and research prototypes exploring structured code generation.
> \[!note]
> GGUF: [https://huggingface.co/prithivMLmods/Muscae-Qwen3-UI-Code-4B-GGUF](https://huggingface.co/prithivMLmods/Muscae-Qwen3-UI-Code-4B-GGUF)
## **Key Features**
1. **UI-Oriented Abliterated Reasoning**
Controlled reasoning precision tailored for frontend development and code generation, with polished token distributions ensuring structured, maintainable output.
2. **Web UI Component Generation**
Excels at generating **responsive components**, **semantic HTML**, and **Tailwind-based layouts** with reasoning-aware structure and minimal boilerplate.
3. **Layout-Aware Structured Logic**
Understands **UI state flows**, **component hierarchies**, and **responsive design patterns**, producing logically consistent, production-ready UI code.
4. **Hybrid Reasoning for Code**
Combines symbolic reasoning with probabilistic inference to deliver optimized component logic, conditional rendering, and event-driven UI behavior.
5. **Structured Output Mastery**
Natively outputs in **HTML**, **React**, **Markdown**, **JSON**, and **YAML**, making it ideal for UI prototyping, design systems, and documentation generation.
6. **Optimized Lightweight Footprint**
With a **4B parameter size**, it’s deployable on **mid-range GPUs**, **offline workstations**, or **edge devices** while retaining strong UI coding capabilities.
## **Quickstart with Transformers**
```python
from transformers import AutoModelForCausalLM, AutoTokenizer
model_name = "prithivMLmods/Muscae-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 landing page hero section with Tailwind and semantic HTML."
messages = [
{"role": "system", "content": "You are a frontend coding assistant skilled in UI generation, semantic HTML, and component structuring."},
{"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**
* Web UI coding and component generation
* Responsive layout and frontend architecture prototyping
* Semantic HTML, Tailwind, and React code generation
* Research and experimental projects on structured code synthesis
* Design-system-driven development workflows
## **Limitations**
* Experimental model – not optimized for production-critical deployments
* Focused on **UI coding** – not suitable for general reasoning or creative writing
* May produce inconsistent results with **very long prompts** or **cross-framework tasks**
* Prioritizes structure and correctness over stylistic creativity or verbosity |