Image-Text-to-Text
Transformers
Safetensors
PyTorch
English
NVLM_D
nvidia
NVLM
multimodal
conversational
custom_code
Instructions to use nvidia/NVLM-D-72B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nvidia/NVLM-D-72B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-text-to-text", model="nvidia/NVLM-D-72B", trust_remote_code=True) messages = [ { "role": "user", "content": [ {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"}, {"type": "text", "text": "What animal is on the candy?"} ] }, ] pipe(text=messages)# Load model directly from transformers import NVLM_D model = NVLM_D.from_pretrained("nvidia/NVLM-D-72B", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use nvidia/NVLM-D-72B with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "nvidia/NVLM-D-72B" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "nvidia/NVLM-D-72B", "messages": [ { "role": "user", "content": [ { "type": "text", "text": "Describe this image in one sentence." }, { "type": "image_url", "image_url": { "url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg" } } ] } ] }'Use Docker
docker model run hf.co/nvidia/NVLM-D-72B
- SGLang
How to use nvidia/NVLM-D-72B 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 "nvidia/NVLM-D-72B" \ --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": "nvidia/NVLM-D-72B", "messages": [ { "role": "user", "content": [ { "type": "text", "text": "Describe this image in one sentence." }, { "type": "image_url", "image_url": { "url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg" } } ] } ] }'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 "nvidia/NVLM-D-72B" \ --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": "nvidia/NVLM-D-72B", "messages": [ { "role": "user", "content": [ { "type": "text", "text": "Describe this image in one sentence." }, { "type": "image_url", "image_url": { "url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg" } } ] } ] }' - Docker Model Runner
How to use nvidia/NVLM-D-72B with Docker Model Runner:
docker model run hf.co/nvidia/NVLM-D-72B
add AIBOM
#31
by sabato-nocera - opened
- nvidia_NVLM-D-72B.json +63 -0
nvidia_NVLM-D-72B.json
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{
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"bomFormat": "CycloneDX",
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"specVersion": "1.6",
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"serialNumber": "urn:uuid:3abe4fb7-d4be-47ed-bfdd-0e006bce5e97",
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"version": 1,
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"metadata": {
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"timestamp": "2025-06-05T09:35:40.941398+00:00",
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"component": {
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"type": "machine-learning-model",
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"bom-ref": "nvidia/NVLM-D-72B-a9de6277-d381-56a0-94a3-a155f46a8c29",
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"name": "nvidia/NVLM-D-72B",
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"externalReferences": [
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{
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"url": "https://huggingface.co/nvidia/NVLM-D-72B",
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"type": "documentation"
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}
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],
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"modelCard": {
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"modelParameters": {
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"task": "image-text-to-text",
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"architectureFamily": "NVLM_D",
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"modelArchitecture": "NVLM_D"
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},
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"properties": [
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{
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"name": "library_name",
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"value": "transformers"
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}
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]
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},
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"authors": [
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{
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"name": "nvidia"
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}
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],
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"licenses": [
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{
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"license": {
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"id": "CC-BY-NC-4.0",
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"url": "https://spdx.org/licenses/CC-BY-NC-4.0.html"
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}
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}
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],
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"tags": [
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"transformers",
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"safetensors",
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"NVLM_D",
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"nvidia",
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"NVLM",
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"pytorch",
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"multimodal",
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"conversational",
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"image-text-to-text",
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"custom_code",
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"en",
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"arxiv:2409.11402",
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"license:cc-by-nc-4.0",
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"endpoints_compatible",
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"region:us"
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]
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}
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}
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}
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