Instructions to use Qwen/Qwen3-4B-Instruct-2507 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Qwen/Qwen3-4B-Instruct-2507 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Qwen/Qwen3-4B-Instruct-2507")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Qwen/Qwen3-4B-Instruct-2507", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use Qwen/Qwen3-4B-Instruct-2507 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Qwen/Qwen3-4B-Instruct-2507" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Qwen/Qwen3-4B-Instruct-2507", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/Qwen/Qwen3-4B-Instruct-2507
- SGLang
How to use Qwen/Qwen3-4B-Instruct-2507 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/Qwen3-4B-Instruct-2507" \ --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": "Qwen/Qwen3-4B-Instruct-2507", "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 "Qwen/Qwen3-4B-Instruct-2507" \ --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": "Qwen/Qwen3-4B-Instruct-2507", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use Qwen/Qwen3-4B-Instruct-2507 with Docker Model Runner:
docker model run hf.co/Qwen/Qwen3-4B-Instruct-2507
The model doesn't know about itself
#17
by sakazakiMGJ - opened
I noticed with all the small Qwen models (4B, VL 4B, 4B instruct), they think that they are other bigger version. They think they are 70B versions or other bigger version and that they are in the cloud. They can even get in an infinity loop trying to think that they are not that parameter size or that they don't even exist.
They are probably distilled from the bigger ones' outputs.
Just like idiots in real life lol