metadata
base_model:
- vicharai/Vicoder-html-32B-preview
library_name: transformers
tags:
- gguf
- code
- llamacpp
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. |