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zen-designer-235b-a22b-instruct
zenlm/zen-designer-235b-a22b-instruct
zen-designer-235b-a22b-instruct is a visual question answering model from zenlm. Use it for the visual question answering 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 apache-2.0.
Design-specialized vision-language model for UI/UX, visual creation, and multimodal design tasks. Instruction-tuned variant.
All-time downloads
898
Public
Parameters
236B
471 GB on disk
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1
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At a glance
- Task
- Visual Question Answering
- Library
- transformers
- License
- apache-2.0
- Model type
- designer-instruct
- Access
- Public
- Created
- Sep 25, 2025
- Updated
- Jul 16, 2026
- SHA
- e347d889
Base models
Model card
From the Hugging Face model README
zen-designer-235b-a22b-instruct
Design-specialized vision-language model for UI/UX, visual creation, and multimodal design tasks. Instruction-tuned variant.
Fine-tuned from Qwen/Qwen3-VL-235B-A22B-Instruct (apache-2.0, Alibaba Qwen) with Hanzo identity + agentic-data training + abliteration. Not trained from scratch.
Specs
| Property | Value |
|---|---|
| Parameters | 235B total, 22B active (sparse MoE) |
| Architecture | Qwen3-VL MoE (Qwen3VLMoeForConditionalGeneration) |
| Modality | Vision-language (image understanding + text) |
| Context | 131K tokens |
Design Capabilities
- UI/UX: dashboard, mobile, and web layouts; component and design systems
- Visual analysis: critique and improve existing interfaces from an image
- Technical export: CSS, React components, design tokens
Quick Start
from transformers import AutoModelForImageTextToText, AutoProcessor
model = AutoModelForImageTextToText.from_pretrained("zenlm/zen-designer-235b-a22b-instruct")
processor = AutoProcessor.from_pretrained("zenlm/zen-designer-235b-a22b-instruct")
messages = [{"role": "user", "content": [{"type": "text", "text": "Design a modern analytics dashboard."}]}]
inputs = processor.apply_chat_template(messages, add_generation_prompt=True, tokenize=True, return_tensors="pt")
out = model.generate(**inputs, max_new_tokens=512)
print(processor.decode(out[0], skip_special_tokens=True))
License
apache-2.0. Upstream: Qwen/Qwen3-VL-235B-A22B-Instruct by Alibaba Qwen (apache-2.0).
Built by Hanzo AI × Zoo Labs Foundation
- Task
- Visual Question Answering
- Library
- transformers
- Type
- designer-instruct
- License
- apache-2.0
- Languages
- en, zh
- Created
- Sep 25, 2025
- Updated
- Jul 16, 2026