Instructions to use FastFlowLM/Qwen3.5-0.8B-NPU2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use FastFlowLM/Qwen3.5-0.8B-NPU2 with Transformers:

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

pipe = pipeline("image-text-to-text", model="FastFlowLM/Qwen3.5-0.8B-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 AutoTokenizer, AutoModelForMultimodalLM

tokenizer = AutoTokenizer.from_pretrained("FastFlowLM/Qwen3.5-0.8B-NPU2")
model = AutoModelForMultimodalLM.from_pretrained("FastFlowLM/Qwen3.5-0.8B-NPU2", 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 = tokenizer.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(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use FastFlowLM/Qwen3.5-0.8B-NPU2 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "FastFlowLM/Qwen3.5-0.8B-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/Qwen3.5-0.8B-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/Qwen3.5-0.8B-NPU2

SGLang

How to use FastFlowLM/Qwen3.5-0.8B-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/Qwen3.5-0.8B-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/Qwen3.5-0.8B-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/Qwen3.5-0.8B-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/Qwen3.5-0.8B-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/Qwen3.5-0.8B-NPU2 with Docker Model Runner:
```
docker model run hf.co/FastFlowLM/Qwen3.5-0.8B-NPU2
```

real_q80

by FastFlowLM - opened Jul 9

base: refs/heads/main

←

from: refs/pr/1

Discussion Files changed

+11

-7

Files changed (3) hide show

chat_template.jinja +8 -4
config.json +1 -1
model.q4nx +2 -2

chat_template.jinja CHANGED Viewed

@@ -97,7 +97,11 @@
             {%- endif %}
         {%- endif %}
         {%- set reasoning_content = reasoning_content|trim %}
-        {{- '<|im_start|>' + message.role + '\n' + content }}
         {%- if message.tool_calls and message.tool_calls is iterable and message.tool_calls is not mapping %}
             {%- for tool_call in message.tool_calls %}
                 {%- if tool_call.function is defined %}
@@ -142,9 +146,9 @@
 {%- endfor %}
 {%- if add_generation_prompt %}
     {{- '<|im_start|>assistant\n' }}
-    {%- if enable_thinking is defined and enable_thinking is false %}
-        {{- '<think>\n\n</think>\n\n' }}
-    {%- else %}
         {{- '<think>\n' }}
     {%- endif %}
 {%- endif %}

             {%- endif %}
         {%- endif %}
         {%- set reasoning_content = reasoning_content|trim %}
+        {%- if loop.index0 > ns.last_query_index %}
+            {{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content + '\n</think>\n\n' + content }}
+        {%- else %}
+            {{- '<|im_start|>' + message.role + '\n' + content }}
+        {%- endif %}
         {%- if message.tool_calls and message.tool_calls is iterable and message.tool_calls is not mapping %}
             {%- for tool_call in message.tool_calls %}
                 {%- if tool_call.function is defined %}
 {%- endfor %}
 {%- if add_generation_prompt %}
     {{- '<|im_start|>assistant\n' }}
+    {%- if enable_thinking is defined and enable_thinking is true %}
         {{- '<think>\n' }}
+    {%- else %}
+        {{- '<think>\n\n</think>\n\n' }}
     {%- endif %}
 {%- endif %}

config.json CHANGED Viewed

@@ -72,7 +72,7 @@
     },
     "addr_qk": 53248,
     "addr_kv": 53536,
-    "flm_version": "0.9.45",
     "vision_model_weight": "vision_weight.q4nx",
     "vision_config": {
         "vision_mm_engine_xclbin_name": "vision_mm.xclbin",

     },
     "addr_qk": 53248,
     "addr_kv": 53536,
+    "flm_version": "0.9.38",
     "vision_model_weight": "vision_weight.q4nx",
     "vision_config": {
         "vision_mm_engine_xclbin_name": "vision_mm.xclbin",

model.q4nx CHANGED Viewed

@@ -1,3 +1,3 @@
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