Instructions to use AI4SGI/ExoMind with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use AI4SGI/ExoMind with Transformers:

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

pipe = pipeline("image-text-to-text", model="AI4SGI/ExoMind")
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, AutoModelForMultimodalLM

processor = AutoProcessor.from_pretrained("AI4SGI/ExoMind")
model = AutoModelForMultimodalLM.from_pretrained("AI4SGI/ExoMind", device_map="auto")
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 AI4SGI/ExoMind with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "AI4SGI/ExoMind"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "AI4SGI/ExoMind",
		"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/AI4SGI/ExoMind

SGLang

How to use AI4SGI/ExoMind 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 "AI4SGI/ExoMind" \
    --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": "AI4SGI/ExoMind",
		"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 "AI4SGI/ExoMind" \
        --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": "AI4SGI/ExoMind",
		"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 AI4SGI/ExoMind with Docker Model Runner:
```
docker model run hf.co/AI4SGI/ExoMind
```

Leon02 commited on 4 days ago

Commit

e8c8e29

verified ·

1 Parent(s): 4aa17c4

Add ExoMind model card

Browse files

Files changed (1) hide show

README.md +26 -7

README.md CHANGED Viewed

@@ -27,14 +27,33 @@ tags:
 **ExoMind Team · Shanghai Artificial Intelligence Laboratory**
-[Project Page](https://ai4sgi.github.io/ExoMind/) ·
-[GitHub](https://github.com/AI4SGI/ExoMind) ·
-[Technical Report](https://github.com/AI4SGI/ExoMind/blob/main/Paper.pdf) ·
-[Hugging Face](https://huggingface.co/AI4SGI/ExoMind) ·
-[ModelScope](https://modelscope.cn/models/AI4SGI/ExoMind/summary)
 </div>
 ## Overview
 ExoMind is the first extended-mind-inspired agentic system designed for
@@ -65,8 +84,8 @@ highest average among all evaluated models, and ranks first on six benchmarks.
   capability benchmarks over the base model.
 <p align="center">
-  <a href="https://ai4sgi.github.io/ExoMind/#overview">
-    <img src="./assets/fig2-paradigm.png" alt="The extended-mind-inspired ExoMind paradigm" width="92%">
   </a>
 </p>

 **ExoMind Team · Shanghai Artificial Intelligence Laboratory**
+<p>
+  <a href="https://ai4sgi.github.io/ExoMind/">
+    <img src="https://img.shields.io/badge/Project_Page-Visit-174F87?style=for-the-badge&logo=googlechrome&logoColor=white" alt="Project Page">
+  </a>
+  <a href="https://github.com/AI4SGI/ExoMind/blob/main/Paper.pdf">
+    <img src="https://img.shields.io/badge/Technical_Report-PDF-B31B1B?style=for-the-badge&logo=adobeacrobatreader&logoColor=white" alt="Technical Report PDF">
+  </a>
+</p>
+<p>
+  <a href="https://huggingface.co/AI4SGI/ExoMind#exomind-democratizing-scientific-intelligence-via-extended-mind-inspired-agentic-system">
+    <img src="https://img.shields.io/badge/Hugging_Face-Model-FFD21E?style=for-the-badge&logo=huggingface&logoColor=000000" alt="Hugging Face">
+  </a>
+  <a href="https://github.com/AI4SGI/ExoMind">
+    <img src="https://img.shields.io/badge/GitHub-Code-181717?style=for-the-badge&logo=github&logoColor=white" alt="GitHub">
+  </a>
+  <a href="https://modelscope.cn/models/AI4SGI/ExoMind">
+    <img src="https://img.shields.io/badge/ModelScope-Model-624AFF?style=for-the-badge" alt="ModelScope">
+  </a>
+</p>
 </div>
+## 🔥 News
+- **2026-08-12**: 🔥 We release the ExoMind technical report, official project page,
+  and public repository.
 ## Overview
 ExoMind is the first extended-mind-inspired agentic system designed for
   capability benchmarks over the base model.
 <p align="center">
+  <a href="https://ai4sgi.github.io/ExoMind/#performance">
+    <img src="./assets/fig1-benchmark.png" alt="ExoMind scientific intelligence evaluation" width="100%">
   </a>
 </p>