Instructions to use dnotitia/DNA3.0-397B-A17B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use dnotitia/DNA3.0-397B-A17B with Transformers:

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

pipe = pipeline("text-generation", model="dnotitia/DNA3.0-397B-A17B")
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, AutoModelForImageTextToText

processor = AutoProcessor.from_pretrained("dnotitia/DNA3.0-397B-A17B")
model = AutoModelForImageTextToText.from_pretrained("dnotitia/DNA3.0-397B-A17B")
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 dnotitia/DNA3.0-397B-A17B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "dnotitia/DNA3.0-397B-A17B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "dnotitia/DNA3.0-397B-A17B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/dnotitia/DNA3.0-397B-A17B

SGLang

How to use dnotitia/DNA3.0-397B-A17B 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 "dnotitia/DNA3.0-397B-A17B" \
    --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": "dnotitia/DNA3.0-397B-A17B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

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 "dnotitia/DNA3.0-397B-A17B" \
        --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": "dnotitia/DNA3.0-397B-A17B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use dnotitia/DNA3.0-397B-A17B with Docker Model Runner:
```
docker model run hf.co/dnotitia/DNA3.0-397B-A17B
```

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This repository is publicly accessible, but you have to accept the conditions to access its files and content.

DNA 3.0

We introduce DNA 3.0, a large-scale Mixture-of-Experts model that builds upon the Qwen3.5/3.6 base model with enhanced capabilities for Korean and enterprise scenarios. By applying an Uncensored Training methodology together with Persona Training (deep grounding in Dnotitia's corporate knowledge and product context), we've created a model that excels in analytical reasoning, agentic coding, and multimodal understanding while maintaining genuinely open, enterprise-aware conversational capabilities.

This is a PRIVATE MODEL and is not available for public download.

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Safetensors

Model size

403B params

Tensor type

BF16

F32

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Qwen/Qwen3.5-397B-A17B

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Collection including dnotitia/DNA3.0-397B-A17B

DNA 3.0

Collection

DNA 3.0 preserves Qwen 3.5/3.6 strengths while removing censorship on China-related topics. • 8 items • Updated 10 days ago • 5