Instructions to use FastFlowLM/Qwen3.5-4B-NPU2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use FastFlowLM/Qwen3.5-4B-NPU2 with Transformers:

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

pipe = pipeline("image-text-to-text", model="FastFlowLM/Qwen3.5-4B-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/Qwen3.5-4B-NPU2", dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use FastFlowLM/Qwen3.5-4B-NPU2 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "FastFlowLM/Qwen3.5-4B-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/Qwen3.5-4B-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/Qwen3.5-4B-NPU2

SGLang

How to use FastFlowLM/Qwen3.5-4B-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/Qwen3.5-4B-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/Qwen3.5-4B-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/Qwen3.5-4B-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/Qwen3.5-4B-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/Qwen3.5-4B-NPU2 with Docker Model Runner:
```
docker model run hf.co/FastFlowLM/Qwen3.5-4B-NPU2
```

Qwen3.5-4B-NPU2

Commit History

Update config.json

a1de004
verified

Shouyu-joel commited on Mar 16

feat: add attribute

891c6d8

ngdxzy commited on Mar 16

feat: add flm version tag

df88c7e

ngdxzy commited on Mar 14

feat: enable image

0a5ed30

ngdxzy commited on Mar 14

feat: reorder cpu alpha/beta

76c09e9

ngdxzy commited on Mar 13

feat: add alpha/beta for prefill

2c205c9

ngdxzy commited on Mar 13

feat: add vision weight

68ac9b5

ngdxzy commited on Mar 13

tmp: dump README from Qwen

442c38a

ngdxzy commited on Mar 13

init: upload weights

ebf65d3

ngdxzy commited on Mar 13

initial commit

0a1e210
verified

FastFlowLM commited on Mar 13

Commit History

Update config.json a1de004 verified

feat: add attribute 891c6d8

feat: add flm version tag df88c7e

feat: enable image 0a5ed30

feat: reorder cpu alpha/beta 76c09e9

feat: add alpha/beta for prefill 2c205c9

feat: add vision weight 68ac9b5

tmp: dump README from Qwen 442c38a

init: upload weights ebf65d3

initial commit 0a1e210 verified

Update config.json

a1de004
verified

feat: add attribute

891c6d8

feat: add flm version tag

df88c7e

feat: enable image

0a5ed30

feat: reorder cpu alpha/beta

76c09e9

feat: add alpha/beta for prefill

2c205c9

feat: add vision weight

68ac9b5

tmp: dump README from Qwen

442c38a

init: upload weights

ebf65d3

initial commit

0a1e210
verified