Instructions to use Alibaba-NLP/Tongyi-DeepResearch-30B-A3B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Alibaba-NLP/Tongyi-DeepResearch-30B-A3B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Alibaba-NLP/Tongyi-DeepResearch-30B-A3B") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Alibaba-NLP/Tongyi-DeepResearch-30B-A3B") model = AutoModelForCausalLM.from_pretrained("Alibaba-NLP/Tongyi-DeepResearch-30B-A3B") 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 Alibaba-NLP/Tongyi-DeepResearch-30B-A3B with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Alibaba-NLP/Tongyi-DeepResearch-30B-A3B" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Alibaba-NLP/Tongyi-DeepResearch-30B-A3B", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/Alibaba-NLP/Tongyi-DeepResearch-30B-A3B
- SGLang
How to use Alibaba-NLP/Tongyi-DeepResearch-30B-A3B 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 "Alibaba-NLP/Tongyi-DeepResearch-30B-A3B" \ --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": "Alibaba-NLP/Tongyi-DeepResearch-30B-A3B", "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 "Alibaba-NLP/Tongyi-DeepResearch-30B-A3B" \ --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": "Alibaba-NLP/Tongyi-DeepResearch-30B-A3B", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use Alibaba-NLP/Tongyi-DeepResearch-30B-A3B with Docker Model Runner:
docker model run hf.co/Alibaba-NLP/Tongyi-DeepResearch-30B-A3B
DeepResearch Source Code License
I see the Tongyi-DeepResearch-30B-A3B model on HF has an Apache 2.0 license.
But there is no license file for the source code:
https://github.com/Alibaba-NLP/DeepResearch
Can you please add a license, preferably also Apache 2.0, to the source code repo?
Thanks!
Hi jebbam,
Thanks a lot for pointing this out and for your attention to detail!
You are absolutely right. The source code is intended to be under the Apache 2.0 license, consistent with the model.
We will add the LICENSE file to the repository shortly.
Thanks again for helping us improve the project!
I see there have been quite a few changes to the source code repository since this post, but the LICENSE file still has not been added.
Please add it.
Thank you!
I see there have been quite a few changes to the source code repository since this post, but the LICENSE file still has not been added.
Please add it.
Thank you!
We have added the LICENSE file on the repo:)