---
license: apache-2.0
language:
- en
base_model:
- Qwen/Qwen2.5-Coder-32B-Instruct
library_name: transformers
tags:
- code
- codeqwen
- chat
- qwen
- qwen-coder
- html
- javascript
- css
- tailwindcss
- frontend
- web-development
- ViCoder-html-32B-preview
- ViCoder-html
- ViCoder
- ViCoder-html-preview
- vichar ai labs
- vichar ai
- strive ai labs llp
- strive ai labs
- vichar.io
pipeline_tag: text-generation
---

<p align="center">
  <a href="https://vichar.io" target="_blank" rel="noopener noreferrer"> <!-- Link the logo -->
    <img src="https://vichar.s3.ap-south-1.amazonaws.com/vicoder-html-32B.png" width="450" height="200" alt="ViCoder-html-32B-preview Logo" style="display: block; margin-left: auto; margin-right: auto; border-radius: 15px;"/>
  </a>
  <h1 align="center" style="color: #2E86C1; margin-top: 15px; margin-bottom: 5px;"> <!-- Added a subtle blue color -->
    ViCoder-html-32B-preview
  </h1>
</p>
<p align="center" style="font-size: 1.2em;">
  <b>🚀 A powerful HTML/CSS/JS sketching model powered by <a href="https://huggingface.co/Qwen/Qwen2.5-Coder-32B-Instruct" style="color: #5DADE2;">Qwen2.5-Coder-32B-Instruct</a> 🚀</b> <!-- Slightly lighter blue link -->
</p>
<p align="center" style="font-size: 1.0em; color: #555;">
  <i>Developed by <a href="https://vichar.io" target="_blank" rel="noopener noreferrer" style="color: #5DADE2;">Vichar AI</a> | <a href="https://huggingface.co/VicharAI" style="color: #5DADE2;">Hugging Face Profile</a></i><br/>
  <span style="font-size: 0.9em; color: #6c757d;">Licensed under Apache 2.0</span>
</p>

---

### <span style="color: #1ABC9C;">💡 What is ViCoder-html-32B-preview?</span>

**ViCoder-html-32B-preview** is a preview model in the **ViCoder** series from <a href="https://vichar.io" target="_blank" rel="noopener noreferrer">Vichar AI</a> — a line of models specialized in **code generation**. This model focuses specifically on sketching single-page websites, such as landing pages and dashboards, using using:

- 🧠 **HTML** for semantic structure
- 🎨 **Tailwind CSS** for modern, utility-first styling
- ⚙️ **JavaScript** for interactivity and basic dynamic behavior

This model is ideal for:
- **Web Developers:** Quickly scaffolding dashboards or page layouts.
- **Frontend Engineers:** Prototyping UIs and exploring design variations.
- **Designers:** Turning textual mockups into initial code sketches.
- **Educators & Students:** Learning and experimenting with HTML, Tailwind CSS, and JavaScript in a practical context.

> ⚠️ **Note:** This is a **preview** version. It demonstrates core capabilities but is still under active development. A more refined and robust production release is planned. Stay updated via <a href="https://vichar.io" target="_blank" rel="noopener noreferrer">vichar.io</a> or follow <a href="https://huggingface.co/VicharAI">VicharAI on Hugging Face</a>!

---

### <span style="color: #1ABC9C;">🛠️ Model Details</span>

| Property         | Value                                                                                       |
| :--------------- | :------------------------------------------------------------------------------------------ |
| **Model Type**   | Code Generation (Instruction-tuned Language Model)                                          |
| **Base Model**   | [Qwen/Qwen2.5-Coder-32B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Coder-32B-Instruct)      |
| **Developed by** | [Vichar AI](https://vichar.io) ([HF Profile](https://huggingface.co/VicharAI))              |
| **Languages**    | Primarily HTML, Tailwind CSS, JavaScript. Understands English instructions.                 |
| **Training Data**| Proprietary curated dataset focusing on high-quality web components and pages.               |
| **License**      | [Apache 2.0](https://www.apache.org/licenses/LICENSE-2.0)                                   |
| **Library**      | 🤗 Transformers                                                                              |
| **Contact**      | Visit [vichar.io](https://vichar.io) or use HF Discussions                                  |

---

### <span style="color: #1ABC9C;">🧱 GGUF Quantized Versions</span>

Quantized versions of **ViCoder-html-32B-preview** in GGUF format are available for efficient local inference using [llama.cpp](https://github.com/ggerganov/llama.cpp), [LM Studio](https://lmstudio.ai/), or [Ollama](https://ollama.com/).

You can find them here:
- 🔗 [GGUF Quantizations on Hugging Face](https://huggingface.co/VicharAI/ViCoder-html-32B-preview-GGUF)

These quantized variants (Q3_K_M, Q4_K_M, Q6_K, Q8_0) are useful for running the model on lower-memory hardware or for embedding in desktop/web applications.

---

### <span style="color: #1ABC9C;">⚡ Example Usage</span>

Use the `transformers` library pipeline for easy text generation. Ensure you have `transformers`, `torch`, and `accelerate` installed.

```python
from transformers import AutoTokenizer, AutoModelForCausalLM, pipeline
import torch

# Define model ID
model_id = "VicharAI/ViCoder-html-32B-preview"

# Load tokenizer and model
# Use bfloat16 for faster inference if your GPU supports it
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(
    model_id,
    torch_dtype=torch.bfloat16, # Or torch.float16 if bfloat16 is not supported
    device_map="auto"           # Automatically distribute across available GPUs/CPU
)

messages = [
    {"role": "user", "content": "A modern, sleek landing page for a company focusing on open-source LLM solutions"},
]
inputs = tokenizer.apply_chat_template(
    messages,
    tokenize = True,
    add_generation_prompt = True,
    return_tensors = "pt",
).to("cuda")

from transformers import TextStreamer
text_streamer = TextStreamer(tokenizer, skip_prompt = True)
_ = model.generate(input_ids = inputs, streamer = text_streamer, max_new_tokens = 16000,
                   use_cache = True, temperature = 0.7, min_p = 0.1, repetition_penalty=1.1)
```

---

### <span style="color: #1ABC9C;">✨ Output Sample</span>


```html
<!DOCTYPE html>
<html lang="en">
<head>
  <meta charset="UTF-8">
  <title>Our Love Story - Surprise Website</title>
  <meta name="viewport" content="width=device-width, initial-scale=1.0">
  <!-- Tailwind CSS CDN -->
  <script src="https://cdn.tailwindcss.com"></script>
  <style>
    /* Custom animation classes */...
```

*(**Note:** The model aims to generate complete HTML structures with Tailwind classes. Review and adapt generated code as needed.)*

---

### <span style="color: #1ABC9C;">🧪 Evaluation & Limitations</span>

As a **preview** release, this model has undergone initial internal testing focused on:

- **Code Correctness:** Validity of generated HTML, Tailwind CSS classes, and basic JavaScript snippets.
- **Tailwind CSS Usage:** Adherence to Tailwind's utility-first principles and common patterns.
- **Component Structure:** Logical organization of HTML elements for typical web components.
- **Instruction Following:** Ability to understand and implement requirements from the prompt.

**Current Limitations:**

- **No Formal Benchmarks:** Not yet evaluated on standard code generation benchmarks (e.g., HumanEval-X, MBPP).
- **Complex Logic:** May struggle with complex JavaScript logic, state management, or intricate CSS beyond Tailwind utilities.
- **Hallucination Risk:** Like all LLMs, it can sometimes generate incorrect, incomplete, or non-optimal code. Always review the output.
- **Preview Status:** Not recommended for critical production use without thorough validation.

---

### <span style="color: #1ABC9C;">📍 Roadmap</span>

The **ViCoder** series is an ongoing project at <a href="https://vichar.io" target="_blank" rel="noopener noreferrer">Vichar AI</a>. Our current roadmap includes:

- ✅ **ViCoder-html-32B-preview:** Initial public preview release (this model).
- ⏳ **ViCoder-html-32B (v1.0):** Planned production-ready release with improved training data, fine-tuning, and evaluation.
- 🚀 **ViCoder-js-32B:** Future model focusing specifically on advanced JavaScript generation (frameworks, logic).
- 🐍 **ViCoder-python-32B:** Potential companion model for Python backend code generation.
- 📊 **Benchmarking & Evaluation:** Formal evaluation on relevant code generation benchmarks.

Follow <a href="https://huggingface.co/VicharAI">VicharAI on Hugging Face</a> or check the [Vichar AI website](https://vichar.io) for announcements!

---

### <span style="color: #1ABC9C;">📄 License</span>

This model and its code are licensed under the **Apache License 2.0**. You can find the full license text [here](https://www.apache.org/licenses/LICENSE-2.0).

---

### <span style="color: #1ABC9C;">🙏 Citation</span>

If you use ViCoder-html-32B-preview in your projects, publications, or research, please cite it:

```bibtex
@misc{vicharai_vicoder_html_32b_preview_2025,
  title        = {ViCoder-html-32B-preview: A Preview Model for HTML/Tailwind CSS/JavaScript Sketching},
  author       = {Vichar AI},
  year         = {2025},
  publisher    = {Hugging Face},
  url          = {https://huggingface.co/VicharAI/ViCoder-html-32B-preview},
  url          = {https://vichar.io}
}
```

---

### <span style="color: #1ABC9C;">📬 Get in Touch</span>

We welcome feedback, questions, and collaboration ideas!

- **Hugging Face:** Open an issue or start a discussion on the [model page's Community tab](https://huggingface.co/VicharAI/ViCoder-html-32B-preview/discussions).
- **Website:** Visit us at [https://vichar.io](https://vichar.io) for more information about Vichar AI and the ViCoder project.
- **Contact:** Find direct contact methods on the [Vichar AI website](https://vichar.io).

---

### <span style="color: #1ABC9C;">🤝 Acknowledgments</span>

This project builds upon the incredible work of others:

- **SprykAI** for their support during model experimentation phases.
- The **Qwen Team** at Alibaba Cloud for developing the foundational [Qwen2.5-Coder-32B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Coder-32B-Instruct) model.
- The **Hugging Face Team** for their platform and libraries (🤗 Transformers, Accelerate,TRL).
- The broader **open-source AI community** for continuous innovation and shared knowledge.
- Development efforts by the team at [Vichar AI](https://vichar.io).

---

<p align="center" style="font-size: 1.1em; font-weight: bold; color: #2ECC71;"> <!-- Changed final line color -->
  💥 This preview is just the start! Explore, build, and stay tuned for the full ViCoder suite from <a href="https://vichar.io" target="_blank" rel="noopener noreferrer" style="color: #27AE60;">Vichar AI</a>! 💥
</p>