Instructions to use nvidia/Ising-Calibration-1-35B-A3B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use nvidia/Ising-Calibration-1-35B-A3B with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("image-text-to-text", model="nvidia/Ising-Calibration-1-35B-A3B")
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 AutoProcessor, AutoModelForMultimodalLM

processor = AutoProcessor.from_pretrained("nvidia/Ising-Calibration-1-35B-A3B")
model = AutoModelForMultimodalLM.from_pretrained("nvidia/Ising-Calibration-1-35B-A3B", device_map="auto")
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?"}
        ]
    },
]
inputs = processor.apply_chat_template(
	messages,
	add_generation_prompt=True,
	tokenize=True,
	return_dict=True,
	return_tensors="pt",
).to(model.device)

outputs = model.generate(**inputs, max_new_tokens=40)
print(processor.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use nvidia/Ising-Calibration-1-35B-A3B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "nvidia/Ising-Calibration-1-35B-A3B"
# 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/Ising-Calibration-1-35B-A3B",
		"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/Ising-Calibration-1-35B-A3B

SGLang

How to use nvidia/Ising-Calibration-1-35B-A3B 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/Ising-Calibration-1-35B-A3B" \
    --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/Ising-Calibration-1-35B-A3B",
		"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/Ising-Calibration-1-35B-A3B" \
        --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/Ising-Calibration-1-35B-A3B",
		"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/Ising-Calibration-1-35B-A3B with Docker Model Runner:
```
docker model run hf.co/nvidia/Ising-Calibration-1-35B-A3B
```

ShuxiangCaoNV commited on Apr 14

Commit

91a7d23

verified ·

1 Parent(s): f2d1b76

Update explainability subcard Governing Terms

Browse files

Files changed (1) hide show

explainability.md +1 -1

explainability.md CHANGED Viewed

@@ -10,5 +10,5 @@ Technical Limitations & Mitigation: | The model is domain-specific to quantum ca
 Performance Metrics: | QCalEval zero-shot scores (averaged): Q1 Technical Description `87.8`, Q2 Experimental Conclusion `67.1`, Q3 Experimental Significance `64.7`, Q4 Fit Quality Assessment `90.5`, Q5 Parameter Extraction `62.5`, Q6 Experiment Success `75.3`, Overall `74.7`.
 Verified to have met prescribed NVIDIA quality standards: | Yes
 Potential Known Risks: | The model may misclassify rare or ambiguous experiment outcomes, may hallucinate details outside the quantum calibration domain, and does not have access to raw numerical traces or experiment metadata beyond what is visible in the input plots.
-Governing Terms: | The ISING-Calibration-1-Model is governed by the [NVIDIA Open Model License Agreement](https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-open-model-license/).
 Additional Information: | For Qwen3.5-35B-A3B [Apache License, Version 2.0](http://www.apache.org/licenses/LICENSE-2.0).

 Performance Metrics: | QCalEval zero-shot scores (averaged): Q1 Technical Description `87.8`, Q2 Experimental Conclusion `67.1`, Q3 Experimental Significance `64.7`, Q4 Fit Quality Assessment `90.5`, Q5 Parameter Extraction `62.5`, Q6 Experiment Success `75.3`, Overall `74.7`.
 Verified to have met prescribed NVIDIA quality standards: | Yes
 Potential Known Risks: | The model may misclassify rare or ambiguous experiment outcomes, may hallucinate details outside the quantum calibration domain, and does not have access to raw numerical traces or experiment metadata beyond what is visible in the input plots.
+Governing Terms: | The Ising-Calibration-1-35B-A3B is governed by the [NVIDIA Open Model License Agreement](https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-open-model-license/).
 Additional Information: | For Qwen3.5-35B-A3B [Apache License, Version 2.0](http://www.apache.org/licenses/LICENSE-2.0).