Instructions to use ServiceNow-AI/Apriel-1.6-15b-Thinker with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use ServiceNow-AI/Apriel-1.6-15b-Thinker with Transformers:

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

pipe = pipeline("image-text-to-text", model="ServiceNow-AI/Apriel-1.6-15b-Thinker")
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, AutoModelForMultimodalLM

processor = AutoProcessor.from_pretrained("ServiceNow-AI/Apriel-1.6-15b-Thinker")
model = AutoModelForMultimodalLM.from_pretrained("ServiceNow-AI/Apriel-1.6-15b-Thinker", 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=40)
print(processor.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use ServiceNow-AI/Apriel-1.6-15b-Thinker with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "ServiceNow-AI/Apriel-1.6-15b-Thinker"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "ServiceNow-AI/Apriel-1.6-15b-Thinker",
		"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/ServiceNow-AI/Apriel-1.6-15b-Thinker

SGLang

How to use ServiceNow-AI/Apriel-1.6-15b-Thinker 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 "ServiceNow-AI/Apriel-1.6-15b-Thinker" \
    --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": "ServiceNow-AI/Apriel-1.6-15b-Thinker",
		"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 "ServiceNow-AI/Apriel-1.6-15b-Thinker" \
        --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": "ServiceNow-AI/Apriel-1.6-15b-Thinker",
		"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 ServiceNow-AI/Apriel-1.6-15b-Thinker with Docker Model Runner:
```
docker model run hf.co/ServiceNow-AI/Apriel-1.6-15b-Thinker
```

Fix Jinja template parsing errors: tuple unpacking and multi-line string concatenation

by QuantPanda - opened Dec 10, 2025

base: refs/heads/main

←

from: refs/pr/9

Discussion Files changed

-3

Files changed (1) hide show

chat_template.jinja +4 -3

chat_template.jinja CHANGED Viewed

@@ -4,7 +4,8 @@
 {%- set messages = messages or [] -%}
 {%- set tools = tools or [] -%}
 {%- set add_generation_prompt = add_generation_prompt or false -%}
-{%- set available_tool_string, add_tool_id = '', true -%}
 {%- set add_thoughts = false -%}            {# whether to include <thinking> reasoning blocks #}
 {%- set add_generation_prompt = true -%}      {# whether to emit reasoning starter before assistant response #}
 {# Optional token placeholders (safe defaults) #}
@@ -14,8 +15,8 @@
 {# Core reasoning prompt and assistant reasoning prefix                 #}
 {# ---------------------------------------------------------------------- #}
 {%- set reasoning_prompt =
-    'You are a thoughtful, systematic AI assistant from ServiceNow Language Models (SLAM) lab. '
-    'Analyze each question carefully, present your reasoning step-by-step, then provide the final '
     'response after the marker [BEGIN FINAL RESPONSE].'
 -%}
 {%- set reasoning_asst_turn_start = 'Here are my reasoning steps:\n' -%}

 {%- set messages = messages or [] -%}
 {%- set tools = tools or [] -%}
 {%- set add_generation_prompt = add_generation_prompt or false -%}
+{%- set available_tool_string = '' -%}
+{%- set add_tool_id = true -%}
 {%- set add_thoughts = false -%}            {# whether to include <thinking> reasoning blocks #}
 {%- set add_generation_prompt = true -%}      {# whether to emit reasoning starter before assistant response #}
 {# Optional token placeholders (safe defaults) #}
 {# Core reasoning prompt and assistant reasoning prefix                 #}
 {# ---------------------------------------------------------------------- #}
 {%- set reasoning_prompt =
+    'You are a thoughtful, systematic AI assistant from ServiceNow Language Models (SLAM) lab. ' ~
+    'Analyze each question carefully, present your reasoning step-by-step, then provide the final ' ~
     'response after the marker [BEGIN FINAL RESPONSE].'
 -%}
 {%- set reasoning_asst_turn_start = 'Here are my reasoning steps:\n' -%}