Instructions to use Qwen/QwQ-32B-Preview with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Qwen/QwQ-32B-Preview with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Qwen/QwQ-32B-Preview") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Qwen/QwQ-32B-Preview") model = AutoModelForCausalLM.from_pretrained("Qwen/QwQ-32B-Preview", 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=256) print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:])) - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use Qwen/QwQ-32B-Preview with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Qwen/QwQ-32B-Preview" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Qwen/QwQ-32B-Preview", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/Qwen/QwQ-32B-Preview
- SGLang
How to use Qwen/QwQ-32B-Preview 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 "Qwen/QwQ-32B-Preview" \ --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": "Qwen/QwQ-32B-Preview", "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 "Qwen/QwQ-32B-Preview" \ --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": "Qwen/QwQ-32B-Preview", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use Qwen/QwQ-32B-Preview with Docker Model Runner:
docker model run hf.co/Qwen/QwQ-32B-Preview
Adds Chinese characters to responses
Adds Chinese characters to responses
Вот один интересный факт: знаете ли вы, что в Японии существует особый вид искусства, называемый «кинуть кимоно»? Это древнее искусство складывания и ношения кимоно, которые являются традиционными японскими нарядами. Кимоно имеют сложную систему складок и узлов, и чтобы правильно их носить, требуется много практики и мастерства. Интересно, не правда ли?桷
here is an example, I added this symbol 桷
How can I make the message appear strictly in Russian?
Try setting min_p = 0.01 - this used to work well for the qwen-1.5 models and better than setting temperature = 0 as that causes looping.
This is a model problem. The dataset is too mixed up. I'm also getting random single character inside reply, albeit it is same meaning as English.
This is a model problem. The dataset is too mixed up. I'm also getting random single character inside reply, albeit it is same meaning as English.
Thank you, this is actually very helpful to know.
Adds Chinese characters to responses
Вот один интересный факт: знаете ли вы, что в Японии существует особый вид искусства, называемый «кинуть кимоно»? Это древнее искусство складывания и ношения кимоно, которые являются традиционными японскими нарядами. Кимоно имеют сложную систему складок и узлов, и чтобы правильно их носить, требуется много практики и мастерства. Интересно, не правда ли?桷
here is an example, I added this symbol 桷
How can I make the message appear strictly in Russian?
Have you tweaked the system prompt to something like: only output answers in the Russian language, do not output any responses in any other language unless the conversation context requires it. ?
In this chat, this model works excellently and understands Russian perfectly.
https://huggingface.co/chat/models/Qwen/QwQ-32B-Preview
In this chat, this model works excellently and understands Russian perfectly.
https://huggingface.co/chat/models/Qwen/QwQ-32B-Preview
i have same question, i write in vietnamese and model return some china character, but it not appear in hugging face chat , do you know how to fix this