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--- |
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base_model: |
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- vicharai/ViCoder-html-32B-preview |
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library_name: transformers |
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tags: |
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- gguf |
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- code |
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- llamacpp |
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pipeline_tag: text-generation |
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--- |
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<h1>VICODER HTML 32B PREVIEW QUANTIZATIONS</h1> |
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## Overview |
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[`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. |
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## Model Quantizations |
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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. |
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| **Quantization** | **Size (GB)** | **Expected Quality** | **Notes** | |
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|-----------------------|---------------|--------------------------------------------------------|---------------------------------------------------------| |
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| **Q8_0** | 34.8 | 🟢 *Very good – nearly full precision* | 8-bit quantization, very close to full precision for most tasks. | |
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| **Q6_K** | 26.9 | 🟢 *Good – retains most performance* | 6-bit quantization, high quality, efficient for most applications. | |
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| **Q4_K_M** | 19.9 | 🟡 *Moderate – usable with minor degradation* | 4-bit quantization, good tradeoff between quality and size. | |
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| **Q3_K_M** | 15.9 | 🟠 *Lower – may lose accuracy, better for small RAM* | 3-bit quantization, lower quality, best for minimal memory use. | |
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## Features |
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- **Full Website Generation**: Generates HTML code with Tailwind CSS and JavaScript for modern, responsive websites. |
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- **Flexible Quantization**: Choose from various quantization models to fit your hardware and performance requirements. |
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- **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) |
