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qwen

qwq-32b

PREVIEW

Powerful reasoning model capable of thinking and reasoning, can achieve significantly enhanced performance in downstream tasks, especially hard problems.

advanced reasoningchatcodingmath
Get API Key
API Reference
Accelerated by DGX Cloud
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Follow the steps below to download and run the NVIDIA NIM inference microservice for this model on your infrastructure of choice.

Step 1
Generate API Key

Step 2
Pull and Run the NIM

$ docker login nvcr.io
Username: $oauthtoken
Password: <PASTE_API_KEY_HERE>

Pull and run the NVIDIA NIM with the command below. This will download the optimized model for your infrastructure.

export NGC_API_KEY=<PASTE_API_KEY_HERE>
export LOCAL_NIM_CACHE=~/.cache/nim
mkdir -p "$LOCAL_NIM_CACHE"
docker run -it --rm \
    --gpus all \
    --shm-size=16GB \
    -e NGC_API_KEY \
    -v "$LOCAL_NIM_CACHE:/opt/nim/.cache" \
    -u $(id -u) \
    -p 8000:8000 \
    nvcr.io/nim/qwen/qwq-32b:1.6.0.rc2

Step 3
Test the NIM

You can now make a local API call using this curl command:

curl -X 'POST' \
'http://0.0.0.0:8000/v1/chat/completions' \
-H 'accept: application/json' \
-H 'Content-Type: application/json' \
-d '{
    "model": "qwen/qwq-32b",
    "messages": [{"role":"user", "content":"Which number is larger, 9.11 or 9.8?"}],
    "max_tokens": 64
}'

For more details on getting started with this NIM, visit the NVIDIA NIM Docs.