Instructions to use tencent/Hunyuan-A13B-Instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use tencent/Hunyuan-A13B-Instruct with Transformers:

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

pipe = pipeline("text-generation", model="tencent/Hunyuan-A13B-Instruct", trust_remote_code=True)
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("tencent/Hunyuan-A13B-Instruct", trust_remote_code=True)
model = AutoModelForCausalLM.from_pretrained("tencent/Hunyuan-A13B-Instruct", trust_remote_code=True)
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 tencent/Hunyuan-A13B-Instruct with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "tencent/Hunyuan-A13B-Instruct"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "tencent/Hunyuan-A13B-Instruct",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/tencent/Hunyuan-A13B-Instruct

SGLang

How to use tencent/Hunyuan-A13B-Instruct 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 "tencent/Hunyuan-A13B-Instruct" \
    --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": "tencent/Hunyuan-A13B-Instruct",
		"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 "tencent/Hunyuan-A13B-Instruct" \
        --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": "tencent/Hunyuan-A13B-Instruct",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use tencent/Hunyuan-A13B-Instruct with Docker Model Runner:
```
docker model run hf.co/tencent/Hunyuan-A13B-Instruct
```

asherszhang commited on Jun 29, 2025

Commit

ebb38e6

verified ·

1 Parent(s): 202c975

add vllm source code part.

Browse files

Files changed (1) hide show

README.md +9 -1

README.md CHANGED Viewed

@@ -266,7 +266,7 @@ docker run --rm  --ipc=host \
         --gpus=all \
         -it \
         -e VLLM_USE_V1=0 \
-        --entrypoint python mirror.ccs.tencentyun.com/hunyuaninfer/hunyuan-large:hunyuan-moe-A13B-vllm \
         -m vllm.entrypoints.openai.api_server \
         --host 0.0.0.0 \
         --tensor-parallel-size 4 \
@@ -275,6 +275,12 @@ docker run --rm  --ipc=host \
         --trust_remote_code
 ```
 #### Tool Calling with vLLM
@@ -296,6 +302,8 @@ These settings enable vLLM to correctly interpret and route tool calls generated
 vLLM reasoning parser support on Hunyuan A13B model is under development.
 ### SGLang
 #### Docker Image

         --gpus=all \
         -it \
         -e VLLM_USE_V1=0 \
+        --entrypoint python hunyuaninfer/hunyuan-a13b:hunyuan-moe-A13B-vllm \
         -m vllm.entrypoints.openai.api_server \
         --host 0.0.0.0 \
         --tensor-parallel-size 4 \
         --trust_remote_code
 ```
+### Source Code
+Support for this model has been added via  this [PR 20114](https://github.com/vllm-project/vllm/pull/20114 ) in the vLLM project.
+You can build and run vLLM from source after merging this pull request into your local repository.
 #### Tool Calling with vLLM
 vLLM reasoning parser support on Hunyuan A13B model is under development.
 ### SGLang
 #### Docker Image