Instructions to use inclusionAI/UI-Venus-Ground-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use inclusionAI/UI-Venus-Ground-7B with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("image-text-to-text", model="inclusionAI/UI-Venus-Ground-7B")
messages = [
    {
        "role": "user",
        "content": [
            {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"},
            {"type": "text", "text": "What animal is on the candy?"}
        ]
    },
]
pipe(text=messages)

# Load model directly
from transformers import AutoProcessor, AutoModelForImageTextToText

processor = AutoProcessor.from_pretrained("inclusionAI/UI-Venus-Ground-7B")
model = AutoModelForImageTextToText.from_pretrained("inclusionAI/UI-Venus-Ground-7B")
messages = [
    {
        "role": "user",
        "content": [
            {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"},
            {"type": "text", "text": "What animal is on the candy?"}
        ]
    },
]
inputs = processor.apply_chat_template(
	messages,
	add_generation_prompt=True,
	tokenize=True,
	return_dict=True,
	return_tensors="pt",
).to(model.device)

outputs = model.generate(**inputs, max_new_tokens=40)
print(processor.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use inclusionAI/UI-Venus-Ground-7B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "inclusionAI/UI-Venus-Ground-7B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "inclusionAI/UI-Venus-Ground-7B",
		"messages": [
			{
				"role": "user",
				"content": [
					{
						"type": "text",
						"text": "Describe this image in one sentence."
					},
					{
						"type": "image_url",
						"image_url": {
							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
						}
					}
				]
			}
		]
	}'

Use Docker

docker model run hf.co/inclusionAI/UI-Venus-Ground-7B

SGLang

How to use inclusionAI/UI-Venus-Ground-7B with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "inclusionAI/UI-Venus-Ground-7B" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "inclusionAI/UI-Venus-Ground-7B",
		"messages": [
			{
				"role": "user",
				"content": [
					{
						"type": "text",
						"text": "Describe this image in one sentence."
					},
					{
						"type": "image_url",
						"image_url": {
							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
						}
					}
				]
			}
		]
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "inclusionAI/UI-Venus-Ground-7B" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "inclusionAI/UI-Venus-Ground-7B",
		"messages": [
			{
				"role": "user",
				"content": [
					{
						"type": "text",
						"text": "Describe this image in one sentence."
					},
					{
						"type": "image_url",
						"image_url": {
							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
						}
					}
				]
			}
		]
	}'

Docker Model Runner
How to use inclusionAI/UI-Venus-Ground-7B with Docker Model Runner:
```
docker model run hf.co/inclusionAI/UI-Venus-Ground-7B
```

zengw commited on Aug 17, 2025

Commit

3a7156b

verified ·

1 Parent(s): 76e8a05

Update README.md

Browse files

Files changed (1) hide show

README.md +2 -1

README.md CHANGED Viewed

@@ -161,7 +161,8 @@ def inference(instruction, image_path):
 | UI-TARS-7B               | 96.9            | 89.1            | 95.4             | 85.0             | 93.6         | 85.2         | 91.6     |
 | UI-TARS-72B              | 94.8            | 86.3            | 91.2             | 87.9             | 91.5         | 87.7         | 90.3     |
 | LPO                      | 97.9            | 82.9            | 95.9             | 86.4             | 95.6         | 84.2         | 90.5     |
-| **UI-Venus-72B (Ours)**  | **99.7**        | **93.8**        | **95.9**         | **90.0**         | **96.2**     | **92.6**     | **95.3** |
 ---

 | UI-TARS-7B               | 96.9            | 89.1            | 95.4             | 85.0             | 93.6         | 85.2         | 91.6     |
 | UI-TARS-72B              | 94.8            | 86.3            | 91.2             | 87.9             | 91.5         | 87.7         | 90.3     |
 | LPO                      | 97.9            | 82.9            | 95.9             | 86.4             | 95.6         | 84.2         | 90.5     |
+| **UI-Venus-Ground-7B (Ours)**  | **99.0**        | **90.0**        | **97.0**         | **90.7**         | **96.2**     | **88.7**     | **94.1** |
+| **UI-Venus-Ground-72B (Ours)**  | **99.7**        | **93.8**        | **95.9**         | **90.0**         | **96.2**     | **92.6**     | **95.3** |
 ---