Instructions to use tencent/Youtu-LLM-2B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use tencent/Youtu-LLM-2B with Transformers:

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

pipe = pipeline("text-generation", model="tencent/Youtu-LLM-2B")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("tencent/Youtu-LLM-2B")
model = AutoModelForCausalLM.from_pretrained("tencent/Youtu-LLM-2B", 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 tencent/Youtu-LLM-2B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "tencent/Youtu-LLM-2B"
# 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/Youtu-LLM-2B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/tencent/Youtu-LLM-2B

SGLang

How to use tencent/Youtu-LLM-2B 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/Youtu-LLM-2B" \
    --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/Youtu-LLM-2B",
		"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/Youtu-LLM-2B" \
        --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/Youtu-LLM-2B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use tencent/Youtu-LLM-2B with Docker Model Runner:
```
docker model run hf.co/tencent/Youtu-LLM-2B
```

TencentCloudADPDevRel commited on Dec 31, 2025

Commit

4dec568

1 Parent(s): f800ccd

Upload readme

Browse files

Files changed (1) hide show

README.md +5 -6

README.md CHANGED Viewed

@@ -6,14 +6,11 @@ pipeline_tag: text-generation
 base_model:
   - tencent/Youtu-LLM-2B-Base
 ---
 <div align="center">
-# <img src="assets/youtu-llm-logo.png" alt="Tencent Youtu Lab Logo" height="26px">
-# <img src="assets/general_agentic_instruct.png" alt="Comparison between Youtu-LLM-2B and baselines" height="260px">
-[📃 License](LICENSE.txt) • [💻 Code](https://github.com/TencentCloudADP/youtu-tip/youtu-llm) • [📑 Technical Report](https://github.com/TencentCloudADP/youtu-tip/youtu-llm/assets/Youtu-LLM_Technical_Report.pdf) • [📊 Benchmarks](#benchmarks) • [🚀 Getting Started](#quickstart) • [💡 Highlights](#highlights)
 </div>
@@ -35,8 +32,10 @@ base_model:
 <a id="benchmarks"></a>
 ## 📊 Performance Comparisons
 ### Instruct Model
 #### General Benchmarks
 | Benchmark | DeepSeek-R1-Distill-Qwen-1.5B | Qwen3-1.7B | SmolLM3-3B | Qwen3-4B | DeepSeek-R1-Distill-Llama-8B | Youtu-LLM-2B |
 | :--- | :---: | :---: | :---: | :---: | :---: | :---: |

 base_model:
   - tencent/Youtu-LLM-2B-Base
 ---
 <div align="center">
+# <img src="assets/youtu-llm-logo.png" alt="Youtu-LLM Logo" height="100px">
+[📃 License](LICENSE.txt) • [💻 Code](https://github.com/TencentCloudADP/youtu-tip/youtu-llm) • [📑 Technical Report](https://github.com/TencentCloudADP/youtu-tip/blob/master/youtu-llm/assets/Youtu-LLM_Technical_Report.pdf) • [📊 Benchmarks](#benchmarks) • [🚀 Getting Started](#quickstart) • [💡 Highlights](#highlights)
 </div>
 <a id="benchmarks"></a>
 ## 📊 Performance Comparisons
 ### Instruct Model
+# <img src="assets/general_agentic_instruct.png" alt="Comparison between Youtu-LLM-2B and baselines" height="260px">
 #### General Benchmarks
 | Benchmark | DeepSeek-R1-Distill-Qwen-1.5B | Qwen3-1.7B | SmolLM3-3B | Qwen3-4B | DeepSeek-R1-Distill-Llama-8B | Youtu-LLM-2B |
 | :--- | :---: | :---: | :---: | :---: | :---: | :---: |