Instructions to use ACE-Brain/ACE-Brain-0-8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use ACE-Brain/ACE-Brain-0-8B with Transformers:

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

pipe = pipeline("image-text-to-text", model="ACE-Brain/ACE-Brain-0-8B")
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("ACE-Brain/ACE-Brain-0-8B")
model = AutoModelForImageTextToText.from_pretrained("ACE-Brain/ACE-Brain-0-8B")
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 ACE-Brain/ACE-Brain-0-8B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "ACE-Brain/ACE-Brain-0-8B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "ACE-Brain/ACE-Brain-0-8B",
		"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/ACE-Brain/ACE-Brain-0-8B

SGLang

How to use ACE-Brain/ACE-Brain-0-8B 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 "ACE-Brain/ACE-Brain-0-8B" \
    --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": "ACE-Brain/ACE-Brain-0-8B",
		"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 "ACE-Brain/ACE-Brain-0-8B" \
        --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": "ACE-Brain/ACE-Brain-0-8B",
		"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 ACE-Brain/ACE-Brain-0-8B with Docker Model Runner:
```
docker model run hf.co/ACE-Brain/ACE-Brain-0-8B
```

ACE-Brain commited on Mar 4

Commit

14401a4

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1 Parent(s): 519002e

Update README.md

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@@ -137,10 +137,13 @@ print(output_text)
 ## Citation
 ```bibtex
-@article{gong2026acebrain,
-  title={ACE-Brain: A Spatial-Centric Foundation Brain for Universal Embodiments},
-  author={Gong, Ziyang and Luo, Zehang and Tang, Anke and Liu, Zhe and others},
-  journal={arXiv preprint arXiv:2502.xxxxx},
-  year={2026}
 }
 ```

 ## Citation
 ```bibtex
+@misc{gong2026acebrain0spatialintelligenceshared,
+      title={ACE-Brain-0: Spatial Intelligence as a Shared Scaffold for Universal Embodiments},
+      author={Ziyang Gong and Zehang Luo and Anke Tang and Zhe Liu and Shi Fu and Zhi Hou and Ganlin Yang and Weiyun Wang and Xiaofeng Wang and Jianbo Liu and Gen Luo and Haolan Kang and Shuang Luo and Yue Zhou and Yong Luo and Li Shen and Xiaosong Jia and Yao Mu and Xue Yang and Chunxiao Liu and Junchi Yan and Hengshuang Zhao and Dacheng Tao and Xiaogang Wang},
+      year={2026},
+      eprint={2603.03198},
+      archivePrefix={arXiv},
+      primaryClass={cs.RO},
+      url={https://arxiv.org/abs/2603.03198},
 }
 ```