Instructions to use skt/A.X-4.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use skt/A.X-4.0 with Transformers:

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

pipe = pipeline("text-generation", model="skt/A.X-4.0")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("skt/A.X-4.0")
model = AutoModelForCausalLM.from_pretrained("skt/A.X-4.0", device_map="auto")
messages = [
    {"role": "user", "content": "Who are you?"},
]
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 skt/A.X-4.0 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "skt/A.X-4.0"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "skt/A.X-4.0",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/skt/A.X-4.0

SGLang

How to use skt/A.X-4.0 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 "skt/A.X-4.0" \
    --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": "skt/A.X-4.0",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

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 "skt/A.X-4.0" \
        --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": "skt/A.X-4.0",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use skt/A.X-4.0 with Docker Model Runner:
```
docker model run hf.co/skt/A.X-4.0
```

minpeter commited on Oct 2, 2025

Commit

5709760

verified ·

1 Parent(s): 09db929

Update chat_template.jinja

Browse files

Files changed (1) hide show

chat_template.jinja +4 -2

chat_template.jinja CHANGED Viewed

@@ -9,12 +9,13 @@
 	{{- "\n\n도구를 호출하려면 아래의 JSON으로 응답하세요.\n도구 호출 형식: <tool_call>{\"name\": 도구 이름, \"arguments\": dictionary 형태의 도구 인자값}</tool_call>" -}}
 	{{- "<|im_end|>" -}}
 {%- endif -%}
 {%- for message in messages -%}
-	{%- if message.role == "system" -}}
 		{{- "<|im_start|><|system|>" -}}
         {{- message.content }}
         {{- "<|im_end|>" -}}
-	{%- elif message.role == "user" -}}
 		{{- "<|im_start|><|user|>" -}}
         {{- message.content -}}
         {{- "<|im_end|>" -}}
@@ -56,6 +57,7 @@
 		{{- "</tool_output><|im_end|>" -}}
 	{%- endif -%}
 {%- endfor -%}
 {%- if add_generation_prompt -%}
 	{{- "<|im_start|><|assistant|>" -}}
 {%- endif -%}

 	{{- "\n\n도구를 호출하려면 아래의 JSON으로 응답하세요.\n도구 호출 형식: <tool_call>{\"name\": 도구 이름, \"arguments\": dictionary 형태의 도구 인자값}</tool_call>" -}}
 	{{- "<|im_end|>" -}}
 {%- endif -%}
 {%- for message in messages -%}
+	{%- if message.role == "system" -%}
 		{{- "<|im_start|><|system|>" -}}
         {{- message.content }}
         {{- "<|im_end|>" -}}
+	{%- elif message.role == "user" -%}
 		{{- "<|im_start|><|user|>" -}}
         {{- message.content -}}
         {{- "<|im_end|>" -}}
 		{{- "</tool_output><|im_end|>" -}}
 	{%- endif -%}
 {%- endfor -%}
 {%- if add_generation_prompt -%}
 	{{- "<|im_start|><|assistant|>" -}}
 {%- endif -%}