Downloads · 30 days
234
6% of all-time downloads
prithivMLmods/UIGEN-FX-4B-Preview-GGUF
UIGEN-FX-4B-Preview-GGUF is a text generation model from prithivMLmods. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as apache-2.0.
UIGEN-FX-4B-Preview is a 4-billion-parameter UI generation model designed to act like a frontend engineer, specializing in producing semantic HTML and Tailwind CSS suited for diverse UI domains, including web, desktop…
Downloads · 30 days
234
6% of all-time downloads
All-time downloads
3.8K
Public
Repo size
58.3 GB
Likes
1
Public
Click a slice to open those files.
.gguf58.3 GB · 100%
From the Hugging Face model README
UIGEN-FX-4B-Preview is a 4-billion-parameter UI generation model designed to act like a frontend engineer, specializing in producing semantic HTML and Tailwind CSS suited for diverse UI domains, including web, desktop, and mobile applications. It offers a flexible and developer-friendly solution for generating high-quality user interfaces with clean, maintainable code, making it a powerful tool for accelerating UI development workflows across multiple platforms and frameworks.
| File Name | Quant Type | File Size |
|---|---|---|
| UIGEN-FX-4B-Preview.BF16.gguf | BF16 | 8.05 GB |
| UIGEN-FX-4B-Preview.F16.gguf | F16 | 8.05 GB |
| UIGEN-FX-4B-Preview.F32.gguf | F32 | 16.1 GB |
| UIGEN-FX-4B-Preview.Q2_K.gguf | Q2_K | 1.67 GB |
| UIGEN-FX-4B-Preview.Q3_K_L.gguf | Q3_K_L | 2.24 GB |
| UIGEN-FX-4B-Preview.Q3_K_M.gguf | Q3_K_M | 2.08 GB |
| UIGEN-FX-4B-Preview.Q3_K_S.gguf | Q3_K_S | 1.89 GB |
| UIGEN-FX-4B-Preview.Q4_K_M.gguf | Q4_K_M | 2.5 GB |
| UIGEN-FX-4B-Preview.Q4_K_S.gguf | Q4_K_S | 2.38 GB |
| UIGEN-FX-4B-Preview.Q5_K_M.gguf | Q5_K_M | 2.89 GB |
| UIGEN-FX-4B-Preview.Q5_K_S.gguf | Q5_K_S | 2.82 GB |
| UIGEN-FX-4B-Preview.Q6_K.gguf | Q6_K | 3.31 GB |
| UIGEN-FX-4B-Preview.Q8_0.gguf | Q8_0 | 4.28 GB |
(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)
Here is a handy graph by ikawrakow comparing some lower-quality quant types (lower is better):
