Create README.md

README.md

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+---
+base_model:
+- vicharai/Vicoder-html-32B-preview
+library_name: transformers
+tags:
+- gguf
+- code
+- llamacpp
+---
+<h1>VICODER HTML 32B PREVIEW QUANTIZATIONS</h1>
+
+## Overview
+
+[`ViCoder-HTML-32B-preview`](https://huggingface.co/vicharai/ViCoder-html-32B-preview) is a powerful AI model designed to generate full websites, including HTML, Tailwind CSS, and JavaScript.
+
+
+## Model Quantizations
+
+This model comes in several quantizations, each offering a balance of file size and performance. Choose the one that best suits your memory and quality requirements.
+| **Quantization**      | **Size (GB)** | **Expected Quality**                                  | **Notes**                                               |
+|-----------------------|---------------|--------------------------------------------------------|---------------------------------------------------------|
+| **Q8_0**                  | 34.8          | 🟢 *Very good – nearly full precision*                 | 8-bit quantization, very close to full precision for most tasks. |
+| **Q6_K**                  | 26.9          | 🟢 *Good – retains most performance*                   | 6-bit quantization, high quality, efficient for most applications. |
+| **Q4_K_M**                | 19.9          | 🟡 *Moderate – usable with minor degradation*          | 4-bit quantization, good tradeoff between quality and size. |
+| **Q3_K_M**                | 15.9          | 🟠 *Lower – may lose accuracy, better for small RAM*     | 3-bit quantization, lower quality, best for minimal memory use. |
+
+## Features
+
+- **Full Website Generation**: Generates HTML code with Tailwind CSS and JavaScript for modern, responsive websites.
+- **Flexible Quantization**: Choose from various quantization models to fit your hardware and performance requirements.
+- **Ease of Use**: The model is easy to integrate using [llama.cpp](https://github.com/ggerganov/llama.cpp) and [Ollama](https://github.com/ollama/ollama)