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

Libraries

How to use tencent/TCAndon-Router with Transformers:

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

pipe = pipeline("text-generation", model="tencent/TCAndon-Router")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("tencent/TCAndon-Router")
model = AutoModelForCausalLM.from_pretrained("tencent/TCAndon-Router")
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]:]))

Inference
Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use tencent/TCAndon-Router with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "tencent/TCAndon-Router"
# 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/TCAndon-Router",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/tencent/TCAndon-Router

SGLang

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

Docker Model Runner
How to use tencent/TCAndon-Router with Docker Model Runner:
```
docker model run hf.co/tencent/TCAndon-Router
```

joska commited on Jan 9

Commit

f8a89ec

verified ·

1 Parent(s): 3b15cef

Update README.md

Browse files

Files changed (1) hide show

README.md +6 -5

README.md CHANGED Viewed

@@ -10,6 +10,7 @@ base_model:
 - Qwen/Qwen3-4B-Instruct-2507
 pipeline_tag: text-generation
 ---
 # TCAndon-Router
 <p align="center">
@@ -17,7 +18,7 @@ pipeline_tag: text-generation
 </p>
 <p align="center">
-    &nbsp;&nbsp; <a href="https://github.com/Tencent/TCAndon-Router">Github</a>&nbsp;&nbsp; | &nbsp;&nbsp; 📑 <a href="https://arxiv.org/abs/TCAndonRouter">Paper</a> &nbsp;&nbsp;
 </p>
@@ -79,10 +80,10 @@ python generate_agent_desc.py --dataset hwu64 --limit 50
 If you use TCAndonRouter in your work, please cite our paper:
 ```
-@article{zhao2025TCAndonRouter,
   title={TCAndonRouter: Adaptive Reasoning Router for Multi-Agent Collaboration},
-  author={Jiuzhou Zhao et al.},
-  journal={arXiv},
-  year={2025}
 }
 ```

 - Qwen/Qwen3-4B-Instruct-2507
 pipeline_tag: text-generation
 ---
 # TCAndon-Router
 <p align="center">
 </p>
 <p align="center">
+    &nbsp;&nbsp; <a href="https://github.com/Tencent/TCAndon-Router">Github</a>&nbsp;&nbsp; | &nbsp;&nbsp; 📑 <a href="https://arxiv.org/pdf/2601.04544">Paper</a> &nbsp;&nbsp;
 </p>
 If you use TCAndonRouter in your work, please cite our paper:
 ```
+@article{zhao2026TCAndonRouter,
   title={TCAndonRouter: Adaptive Reasoning Router for Multi-Agent Collaboration},
+  author={Jiuzhou Zhao, Chunrong Chen, Chenqi Qiao, Lebin Zheng, Minqi Han, Yanchi Liu, Yongzhou Xu, Xiaochuan Xu, Min Zhang},
+  journal={arXiv preprint:2601.04544},
+  year={2026}
 }
 ```