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

Libraries

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

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

pipe = pipeline("text-generation", model="tencent/Youtu-LLM-2B-Base")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("tencent/Youtu-LLM-2B-Base")
model = AutoModelForCausalLM.from_pretrained("tencent/Youtu-LLM-2B-Base", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use tencent/Youtu-LLM-2B-Base 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-Base"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "tencent/Youtu-LLM-2B-Base",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

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

SGLang

How to use tencent/Youtu-LLM-2B-Base 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-Base" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "tencent/Youtu-LLM-2B-Base",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

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-Base" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "tencent/Youtu-LLM-2B-Base",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

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

fix typo in readme

by Junrulu - opened Jan 4

base: refs/heads/main

←

from: refs/pr/4

Discussion Files changed

-1

Files changed (1) hide show

README.md +1 -1

README.md CHANGED Viewed

@@ -10,7 +10,7 @@ instruct_model:
 # <img src="assets/youtu-llm-logo.png" alt="Youtu-LLM Logo" height="100px">
-[📃 License](LICENSE.txt) • [💻 Code](https://github.com/TencentCloudADP/youtu-tip/tree/master/youtu-llm) • [📑 Technical Report](https://arxiv.org/abs/2512.24618)) • [📊 Benchmarks](#benchmarks)
 </div>

 # <img src="assets/youtu-llm-logo.png" alt="Youtu-LLM Logo" height="100px">
+[📃 License](LICENSE.txt) • [💻 Code](https://github.com/TencentCloudADP/youtu-tip/tree/master/youtu-llm) • [📑 Technical Report](https://arxiv.org/abs/2512.24618) • [📊 Benchmarks](#benchmarks)
 </div>