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google

gemma-2-9b-it

Cutting-edge text generation model text understanding, transformation, and code generation.

language generationtext-to-textchatcode generation
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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/google/gemma-2-9b-it:latest

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": "google/gemma-2-9b-it", "messages": [{"role":"user", "content":"Write a limerick about the wonders of GPU computing."}], "max_tokens": 64 }'

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