llama-3.2-90b-vision-instruct Model by Meta

meta/llama-3.2-90b-vision-instructRUN ANYWHERE

Cutting-edge vision-Language model exceling in high-quality reasoning from images.

Image Captioning

Image-Text Retrieval

By running the below commands, you accept the NVIDIA AI Enterprise Terms of Use and the NVIDIA Community Models License.

Pull and run meta/llama-3.2-90b-vision-instruct using Docker (this will download the full model and run it in your local environment)


$ 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/meta/llama-3.2-90b-vision-instruct:latest

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": "meta/llama-3.2-90b-vision-instruct",
    "messages": [{"role":"user", "content":[
        {"type": "text", "text": "Describe this image"},
        {
          "type": "image_url",
          "image_url": {"url": "https://assets.ngc.nvidia.com/products/api-catalog/phi-3-5-vision/example1b.jpg"}
        }
    ]}],
    "max_tokens": 256
}'

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