Instructions to use MBZUAI/MedMO-4B-Next with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use MBZUAI/MedMO-4B-Next with Transformers:

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

pipe = pipeline("image-text-to-text", model="MBZUAI/MedMO-4B-Next")
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("MBZUAI/MedMO-4B-Next")
model = AutoModelForImageTextToText.from_pretrained("MBZUAI/MedMO-4B-Next")
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

vLLM

How to use MBZUAI/MedMO-4B-Next with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "MBZUAI/MedMO-4B-Next"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "MBZUAI/MedMO-4B-Next",
		"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/MBZUAI/MedMO-4B-Next

SGLang

How to use MBZUAI/MedMO-4B-Next 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 "MBZUAI/MedMO-4B-Next" \
    --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": "MBZUAI/MedMO-4B-Next",
		"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 "MBZUAI/MedMO-4B-Next" \
        --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": "MBZUAI/MedMO-4B-Next",
		"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 MBZUAI/MedMO-4B-Next with Docker Model Runner:
```
docker model run hf.co/MBZUAI/MedMO-4B-Next
```

ankanmbz commited on Apr 8

Commit

33dae04

verified ·

1 Parent(s): 3b15168

Add MediX-R1-8B model performance data

Browse files

Files changed (1) hide show

README.md +2 -0

README.md CHANGED Viewed

@@ -48,6 +48,7 @@ MedMO-8B-Next sets a new state-of-the-art across the board, achieving the highes
 |---|---|---|---|---|---|---|---|---|
 | Lingshu-7B | 54.0 | 77.2 / 43.0 | 82.4 / 33.2 | 41.9 | 54.2 | 82.9 | 26.9 | 55.1 |
 | Fleming-VL-8B | 63.3 | 78.4 / 56.4 | <u>86.9 / 80.0</u> | 56.5 | 64.3 | 88.2 | 21.6 | 66.1 |
 | MedMO-4B | 54.6 | 50.9 / 35.0 | 41.0 / 30.0 | 42.4 | 50.6 | 79.7 | 24.8 | 45.4 |
 | MedMO-8B | <u>64.6</u> | 72.3 / 64.7 | 70.6 / 70.0 | 56.3 | 59.4 | 84.8 | 26.2 | 63.2 |
 | MedMO-4B-Next | 58.7 | <u>79.7 / 59.6</u> | 78.0 / 74.0 | **73.3** | **75.7** | <u>90.6</u> | <u>27.0</u> | <u>68.5</u> |
@@ -59,6 +60,7 @@ MedMO-8B-Next sets a new state-of-the-art across the board, achieving the highes
 |---|---|---|---|---|---|---|---|---|
 | Lingshu-7B | 69.6 | 75.8 | 56.3 | 63.5 | 62.0 / 53.8 | 16.4 | 27.5 | 53.1 |
 | Fleming-VL-8B | 71.8 | 74.0 | 51.8 | 53.7 | 40.5 / 37.3 | 12.1 | 24.9 | 45.7 |
 | MedMO-4B | 75.7 | <u>78.0</u> | 58.0 | 78.5 | 57.5 / 47.7 | 16.4 | 29.4 | 55.1 |
 | MedMO-8B | **81.0** | 77.6 | **65.0** | **84.3** | **66.5 / 60.2** | <u>19.9</u> | **36.0** | **61.3** |
 | MedMO-4B-Next | 74.8 | **78.2** | 58.1 | 78.3 | 57.4 / 47.6 | 16.5 | 29.5 | 55.0 |

 |---|---|---|---|---|---|---|---|---|
 | Lingshu-7B | 54.0 | 77.2 / 43.0 | 82.4 / 33.2 | 41.9 | 54.2 | 82.9 | 26.9 | 55.1 |
 | Fleming-VL-8B | 63.3 | 78.4 / 56.4 | <u>86.9 / 80.0</u> | 56.5 | 64.3 | 88.2 | 21.6 | 66.1 |
+| MediX-R1-8B | 63.3 | 75.2/51.6 | 70.3/54.4 | 41.0 | 55.3 | 73.8 | 24.9 | 57.1 |
 | MedMO-4B | 54.6 | 50.9 / 35.0 | 41.0 / 30.0 | 42.4 | 50.6 | 79.7 | 24.8 | 45.4 |
 | MedMO-8B | <u>64.6</u> | 72.3 / 64.7 | 70.6 / 70.0 | 56.3 | 59.4 | 84.8 | 26.2 | 63.2 |
 | MedMO-4B-Next | 58.7 | <u>79.7 / 59.6</u> | 78.0 / 74.0 | **73.3** | **75.7** | <u>90.6</u> | <u>27.0</u> | <u>68.5</u> |
 |---|---|---|---|---|---|---|---|---|
 | Lingshu-7B | 69.6 | 75.8 | 56.3 | 63.5 | 62.0 / 53.8 | 16.4 | 27.5 | 53.1 |
 | Fleming-VL-8B | 71.8 | 74.0 | 51.8 | 53.7 | 40.5 / 37.3 | 12.1 | 24.9 | 45.7 |
+| MediX-R1-8B | 79.0 | 73.4 | 60.1 | 85.8 | 55.1/47.0 | 14.4 | 34.3 | 56.1 |
 | MedMO-4B | 75.7 | <u>78.0</u> | 58.0 | 78.5 | 57.5 / 47.7 | 16.4 | 29.4 | 55.1 |
 | MedMO-8B | **81.0** | 77.6 | **65.0** | **84.3** | **66.5 / 60.2** | <u>19.9</u> | **36.0** | **61.3** |
 | MedMO-4B-Next | 74.8 | **78.2** | 58.1 | 78.3 | 57.4 / 47.6 | 16.5 | 29.5 | 55.0 |