Visual Question Answering
Transformers
Safetensors
English
Chinese
designer-instruct
image-text-to-text
vision
multimodal
Mixture of Experts
design
zen
zenlm
hanzo
Instructions to use zenlm/zen-designer-235b-a22b-instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zenlm/zen-designer-235b-a22b-instruct with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("visual-question-answering", model="zenlm/zen-designer-235b-a22b-instruct")# Load model directly from transformers import AutoModelForMultimodalLM model = AutoModelForMultimodalLM.from_pretrained("zenlm/zen-designer-235b-a22b-instruct", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "architectures": [ | |
| "Qwen3VLForConditionalGeneration" | |
| ], | |
| "model_type": "designer-instruct", | |
| "torch_dtype": "bfloat16", | |
| "transformers_version": "4.44.2", | |
| "thinking_tokens": 512000, | |
| "_name_or_path": "zenlm/zen-designer-235b-a22b-instruct", | |
| "_base_model": "zenlm/zen-designer-235b-a22b-instruct", | |
| "vision_config": { | |
| "hidden_size": 2048, | |
| "image_size": 2048, | |
| "num_hidden_layers": 48, | |
| "patch_size": 14 | |
| }, | |
| "text_config": { | |
| "vocab_size": 151936, | |
| "hidden_size": 8192, | |
| "num_hidden_layers": 80, | |
| "num_attention_heads": 64, | |
| "num_key_value_heads": 8, | |
| "max_position_embeddings": 131072 | |
| }, | |
| "num_experts": 64, | |
| "num_experts_per_tok": 4, | |
| "expert_interval": 1, | |
| "_total_params": "235B", | |
| "_active_params": "22B" | |
| } | |