Instructions to use tencent/Youtu-LLM-2B-Base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
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, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("tencent/Youtu-LLM-2B-Base") model = AutoModelForMultimodalLM.from_pretrained("tencent/Youtu-LLM-2B-Base") - 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
Update README.md
#12
by Junrulu - opened
README.md
CHANGED
|
@@ -38,10 +38,10 @@ instruct_model:
|
|
| 38 |
| Youtu-LLM-2B-GGUF | Instruct model of Youtu-LLM-2B, in GGUF format | 🤗 [Model](https://huggingface.co/tencent/Youtu-LLM-2B-GGUF)|
|
| 39 |
|
| 40 |
## 📰 News
|
| 41 |
-
- [2026.01.28] You can now directly use Youtu-LLM with [Transformers](https://github.com/huggingface/transformers/
|
| 42 |
- [2026.01.07] You can now fine-tuning Youtu-LLM with [ModelScope](https://mp.weixin.qq.com/s/JJtQWSYEjnE7GnPkaJ7UNA).
|
| 43 |
- [2026.01.04] You can now fine-tuning Youtu-LLM with [LlamaFactory](https://github.com/hiyouga/LlamaFactory/pull/9707).
|
| 44 |
-
> **Note**: If you wish to use Youtu-LLM-2B-Base based on earlier versions of transformers (
|
| 45 |
|
| 46 |
<a id="benchmarks"></a>
|
| 47 |
|
|
|
|
| 38 |
| Youtu-LLM-2B-GGUF | Instruct model of Youtu-LLM-2B, in GGUF format | 🤗 [Model](https://huggingface.co/tencent/Youtu-LLM-2B-GGUF)|
|
| 39 |
|
| 40 |
## 📰 News
|
| 41 |
+
- [2026.01.28] You can now directly use Youtu-LLM with [Transformers>=5.1.0](https://github.com/huggingface/transformers/releases/tag/v5.1.0).
|
| 42 |
- [2026.01.07] You can now fine-tuning Youtu-LLM with [ModelScope](https://mp.weixin.qq.com/s/JJtQWSYEjnE7GnPkaJ7UNA).
|
| 43 |
- [2026.01.04] You can now fine-tuning Youtu-LLM with [LlamaFactory](https://github.com/hiyouga/LlamaFactory/pull/9707).
|
| 44 |
+
> **Note**: If you wish to use Youtu-LLM-2B-Base based on earlier versions of transformers (>=4.56.0,<=4.57.1), please make sure to download the model repository before this [commit](https://huggingface.co/tencent/Youtu-LLM-2B-Base/commit/16ac4cd8ea7edb31386c2470d07c0dbce311ac4b).
|
| 45 |
|
| 46 |
<a id="benchmarks"></a>
|
| 47 |
|