Instructions to use FastFlowLM/medgemma-4b-it-NPU2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use FastFlowLM/medgemma-4b-it-NPU2 with Transformers:

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

pipe = pipeline("image-text-to-text", model="FastFlowLM/medgemma-4b-it-NPU2")
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 AutoModel
model = AutoModel.from_pretrained("FastFlowLM/medgemma-4b-it-NPU2", dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use FastFlowLM/medgemma-4b-it-NPU2 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "FastFlowLM/medgemma-4b-it-NPU2"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "FastFlowLM/medgemma-4b-it-NPU2",
		"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/FastFlowLM/medgemma-4b-it-NPU2

SGLang

How to use FastFlowLM/medgemma-4b-it-NPU2 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 "FastFlowLM/medgemma-4b-it-NPU2" \
    --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": "FastFlowLM/medgemma-4b-it-NPU2",
		"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 "FastFlowLM/medgemma-4b-it-NPU2" \
        --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": "FastFlowLM/medgemma-4b-it-NPU2",
		"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 FastFlowLM/medgemma-4b-it-NPU2 with Docker Model Runner:
```
docker model run hf.co/FastFlowLM/medgemma-4b-it-NPU2
```

medgemma-4b-it-NPU2

Commit History

feat: update template

9359b37

ngdxzy commited on May 25

feat: remove xclbins

b0974f6

ngdxzy commited on May 25

typo: miss \n

811712a

ngdxzy commited on Dec 18, 2025

feat: optimize vision

809e25d

ngdxzy commited on Dec 9, 2025

v0.9.20

3834d00

ngdxzy commited on Nov 19, 2025

Update vision head

5a279fa
verified

FastFlowLM commited on Sep 26, 2025

Update flm_version

7b6142e
verified

FastFlowLM commited on Sep 26, 2025

refactor: Update flm version tag

05ddeb3
verified

FastFlowLM commited on Sep 5, 2025

Update chat template and weight

dd7fb68
verified

FastFlowLM commited on Sep 1, 2025

Update README.md

8371540
verified

FastFlowLM commited on Aug 31, 2025

Update vision weight

391ddce
verified

FastFlowLM commited on Aug 31, 2025

Init upload

ef76ff9
verified

FastFlowLM commited on Aug 27, 2025

initial commit

166489c
verified

FastFlowLM commited on Aug 27, 2025

Commit History

feat: update template 9359b37

feat: remove xclbins b0974f6

typo: miss \n 811712a

feat: optimize vision 809e25d

v0.9.20 3834d00

Update vision head 5a279fa verified

Update flm_version 7b6142e verified

refactor: Update flm version tag 05ddeb3 verified

Update chat template and weight dd7fb68 verified

Update README.md 8371540 verified

Update vision weight 391ddce verified

Init upload ef76ff9 verified

initial commit 166489c verified