VICODER HTML 32B PREVIEW QUANTIZATIONS

Overview

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 and Ollama
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GGUF
Model size
32.8B params
Architecture
qwen2
Hardware compatibility
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