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)

# pip install -U transformers accelerate
# 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=256)
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 Aug 25

Commit

f51ec79

verified ·

1 Parent(s): 7d769c4

Add ExoMind model card

Browse files

Files changed (1) hide show

README.md +8 -17

README.md CHANGED Viewed

@@ -49,25 +49,16 @@ tags:
 </div>
-## Model Family
-Browse the complete release in the [ExoMind Model Family](https://huggingface.co/collections/AI4SGI/exomind-model-family-6a8d093b41eedd517bbc0945).
-| Model | Format | Hugging Face | ModelScope |
-| --- | --- | --- | --- |
-| **ExoMind** | 35B-A3B Transformers | [Model](https://huggingface.co/AI4SGI/ExoMind) | [Model](https://modelscope.cn/models/AI4SGI/ExoMind) |
-| **ExoMind-Q4_K_M-GGUF** | 35B-A3B Q4_K_M GGUF | [Model](https://huggingface.co/AI4SGI/ExoMind-Q4_K_M-GGUF) | [Model](https://modelscope.cn/models/AI4SGI/ExoMind-Q4_K_M-GGUF) |
-| **ExoMind-Q8_0-GGUF** | 35B-A3B Q8_0 GGUF | [Model](https://huggingface.co/AI4SGI/ExoMind-Q8_0-GGUF) | [Model](https://modelscope.cn/models/AI4SGI/ExoMind-Q8_0-GGUF) |
-| **ExoMind-F16-GGUF** | 35B-A3B F16 GGUF | [Model](https://huggingface.co/AI4SGI/ExoMind-F16-GGUF) | [Model](https://modelscope.cn/models/AI4SGI/ExoMind-F16-GGUF) |
-| **ExoMind-9B** | 9B Transformers | [Model](https://huggingface.co/AI4SGI/ExoMind-9B) | [Model](https://modelscope.cn/models/AI4SGI/ExoMind-9B) |
-| **ExoMind-9B-Q4_K_M-GGUF** | 9B Q4_K_M GGUF | [Model](https://huggingface.co/AI4SGI/ExoMind-9B-Q4_K_M-GGUF) | [Model](https://modelscope.cn/models/AI4SGI/ExoMind-9B-Q4_K_M-GGUF) |
-| **ExoMind-9B-Q8_0-GGUF** | 9B Q8_0 GGUF | [Model](https://huggingface.co/AI4SGI/ExoMind-9B-Q8_0-GGUF) | [Model](https://modelscope.cn/models/AI4SGI/ExoMind-9B-Q8_0-GGUF) |
-| **ExoMind-9B-F16-GGUF** | 9B F16 GGUF | [Model](https://huggingface.co/AI4SGI/ExoMind-9B-F16-GGUF) | [Model](https://modelscope.cn/models/AI4SGI/ExoMind-9B-F16-GGUF) |
 ## 🔥 News
-- **2026-08-24**: We release the ExoMind model family on Hugging Face and
-  ModelScope, including Transformers and GGUF checkpoints.
 - **2026-08-12**: 🔥 We release the ExoMind technical report, official project page,
   and public repository.

 </div>
 ## 🔥 News
+- **2026.8.25**: 🔥 We have released a series of official GGUF variants for
+  ExoMind and ExoMind-9B. Please refer to the [ExoMind collection](https://huggingface.co/collections/AI4SGI/exomind-6a8d093b41eedd517bbc0945). We
+  also thank [mradermacher](https://huggingface.co/mradermacher) for providing
+  additional GGUF quantizations, including both static and importance-matrix
+  variants: [ExoMind-i1-GGUF](https://huggingface.co/mradermacher/ExoMind-i1-GGUF),
+  [ExoMind-GGUF](https://huggingface.co/mradermacher/ExoMind-GGUF),
+  [ExoMind-9B-i1-GGUF](https://huggingface.co/mradermacher/ExoMind-9B-i1-GGUF),
+  and [ExoMind-9B-GGUF](https://huggingface.co/mradermacher/ExoMind-9B-GGUF).
 - **2026-08-12**: 🔥 We release the ExoMind technical report, official project page,
   and public repository.