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WebVIA-Agent-f32-GGUF
prithivMLmods/WebVIA-Agent-f32-GGUF
WebVIA-Agent-f32-GGUF is a image-text-to-text model from prithivMLmods. Use it for the image-text-to-text task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as mit.
WebVIA-Agent is part of the WebVIA framework, representing the first agentic vision-language model built for interactive, verifiable UI-to-Code generation on web interfaces. Based on a GLM-4.1V-9B backbone, WebVIA-Age…
All-time downloads
868
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Repo size
85.2 GB
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0
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Repo makeup
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.gguf85.2 GB · 100%
At a glance
- Task
- Image-Text-to-Text
- Library
- transformers
- License
- mit
- Access
- Public
- Created
- Nov 17, 2025
- Updated
- Nov 18, 2025
- SHA
- a11495d4
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Base models
Model card
From the Hugging Face model README
WebVIA-Agent-f32-GGUF
WebVIA-Agent is part of the WebVIA framework, representing the first agentic vision-language model built for interactive, verifiable UI-to-Code generation on web interfaces. Based on a GLM-4.1V-9B backbone, WebVIA-Agent navigates websites to capture multi-state UI screenshots and interprets both image and DOM tree inputs to identify which interactive components require actions, factoring in previous interactions and occlusions to avoid redundant operations. The broader framework includes UI2Code for generating executable HTML/CSS/JavaScript and a validation module to ensure the generated UIs behave as intended, achieving more stable and accurate UI exploration than general-purpose agents like Gemini-2.5-Pro. WebVIA-Agent thus enables reliable automation and tool-support for realistic, dynamic web environments by not only modeling static layouts, but also verifying and automating interactive workflows.
Model Files
| File Name | Quant Type | File Size |
|---|---|---|
| WebVIA-Agent-BF16.gguf | BF16 | 18.8 GB |
| WebVIA-Agent-F16.gguf | F16 | 18.8 GB |
| WebVIA-Agent-F32.gguf | F32 | 37.6 GB |
| WebVIA-Agent-Q8_0.gguf | Q8_0 | 10 GB |
Quants Usage
(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):
- Task
- Image-Text-to-Text
- Library
- transformers
- License
- mit
- Languages
- en, zh
- Created
- Nov 17, 2025
- Updated
- Nov 18, 2025