Instructions to use dnotitia/DNA3.1-27B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use dnotitia/DNA3.1-27B with Transformers:

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

pipe = pipeline("image-text-to-text", model="dnotitia/DNA3.1-27B")
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)

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoProcessor, AutoModelForMultimodalLM

processor = AutoProcessor.from_pretrained("dnotitia/DNA3.1-27B")
model = AutoModelForMultimodalLM.from_pretrained("dnotitia/DNA3.1-27B", 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=256)
print(processor.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use dnotitia/DNA3.1-27B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "dnotitia/DNA3.1-27B"
# 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/DNA3.1-27B",
		"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/dnotitia/DNA3.1-27B

SGLang

How to use dnotitia/DNA3.1-27B 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/DNA3.1-27B" \
    --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/DNA3.1-27B",
		"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 "dnotitia/DNA3.1-27B" \
        --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/DNA3.1-27B",
		"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 dnotitia/DNA3.1-27B with Docker Model Runner:
```
docker model run hf.co/dnotitia/DNA3.1-27B
```

DNA3.1-27B

Commit History

Sep 22 26 days ago

07:27
Update model.safetensors.index.json

minseob00

Verified signature
aee8534

Sep 16

04:02
Upload dna-3.1-logo.png

minseob00

Verified signature
c8da28d

Sep 15

05:21
Update README.md

minseob00

Verified signature
b95283b
05:20
docs: restructure the comparison bullets to match the chart⁠

minseob00

Verified signature
89440b0
05:17
docs: add DNA3.1-27B vs Qwen3.8-27B comparison chart⁠

minseob00

Verified signature
7d905b0

Sep 14

07:01
Update README.md

minseob00

Verified signature
3123b8f
06:52
Update README.md

minseob00

Verified signature
d8c271e
06:49
Update README.md

minseob00

Verified signature
deb1629
04:35
weights: DNA3.0 recipe + abstention think-only, epoch 6 (checkpoint-810)⁠

minseob00

Verified signature
35a3449

Sep 13

23:07
weights: DNA3.0 recipe + abstention think-only, epoch 5 (checkpoint-675)⁠

minseob00

Verified signature
7f8bc2d

Sep 10

06:03
Update README.md

minseob00

Verified signature
9374ffe
06:01
Update README.md

minseob00

Verified signature
cefa664
05:42
Add video preprocessor config

minseob00

Verified signature
24ab388
05:42
Add image preprocessor config

minseob00

Verified signature
3d3ef75
05:42
Upload checkpoint-392 model artifacts

minseob00

Verified signature
dfcdd0e
05:40
Update README.md

minseob00

Verified signature
0599c77
05:23
Update README.md

minseob00

Verified signature
72d8ff0
05:22
initial commit

minseob00

Verified signature
41fda37

Commit History

Sep 22 26 days ago

Update model.safetensors.index.json

Sep 16

Upload dna-3.1-logo.png

Sep 15

Update README.md

docs: restructure the comparison bullets to match the chart⁠

docs: add DNA3.1-27B vs Qwen3.8-27B comparison chart⁠

Sep 14

Update README.md

Update README.md

Update README.md

weights: DNA3.0 recipe + abstention think-only, epoch 6 (checkpoint-810)⁠

Sep 13

weights: DNA3.0 recipe + abstention think-only, epoch 5 (checkpoint-675)⁠

Sep 10

Update README.md

Update README.md

Add video preprocessor config

Add image preprocessor config

Upload checkpoint-392 model artifacts

Update README.md

Update README.md

initial commit