Instructions to use lightonai/LightOnOCR-2-1B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use lightonai/LightOnOCR-2-1B with Transformers:

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

pipe = pipeline("image-text-to-text", model="lightonai/LightOnOCR-2-1B")
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, AutoModelForSeq2SeqLM

processor = AutoProcessor.from_pretrained("lightonai/LightOnOCR-2-1B")
model = AutoModelForSeq2SeqLM.from_pretrained("lightonai/LightOnOCR-2-1B")
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 lightonai/LightOnOCR-2-1B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "lightonai/LightOnOCR-2-1B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "lightonai/LightOnOCR-2-1B",
		"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/lightonai/LightOnOCR-2-1B

SGLang

How to use lightonai/LightOnOCR-2-1B 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 "lightonai/LightOnOCR-2-1B" \
    --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": "lightonai/LightOnOCR-2-1B",
		"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 "lightonai/LightOnOCR-2-1B" \
        --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": "lightonai/LightOnOCR-2-1B",
		"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 lightonai/LightOnOCR-2-1B with Docker Model Runner:
```
docker model run hf.co/lightonai/LightOnOCR-2-1B
```

LightOnOCR-2-1B / .eval_results /mdpbench.yaml

staghado

Add MDPBench evaluation results (#40)

7d6fa26 about 1 month ago

raw

history blame contribute delete

4.78 kB

	- dataset:
	id: Delores-Lin/MDPBench
	task_id: overall
	value: 63.9
	date: "2026-04-28"
	source:
	url: https://huggingface.co/datasets/Delores-Lin/MDPBench
	name: MDPBench leaderboard
	user: Delores-Lin
	- dataset:
	id: Delores-Lin/MDPBench
	task_id: digital
	value: 80.2
	date: "2026-04-28"
	source:
	url: https://huggingface.co/datasets/Delores-Lin/MDPBench
	name: MDPBench leaderboard
	user: Delores-Lin
	- dataset:
	id: Delores-Lin/MDPBench
	task_id: photographed
	value: 58.5
	date: "2026-04-28"
	source:
	url: https://huggingface.co/datasets/Delores-Lin/MDPBench
	name: MDPBench leaderboard
	user: Delores-Lin
	- dataset:
	id: Delores-Lin/MDPBench
	task_id: latin
	value: 73.7
	date: "2026-04-28"
	source:
	url: https://huggingface.co/datasets/Delores-Lin/MDPBench
	name: MDPBench leaderboard
	user: Delores-Lin
	- dataset:
	id: Delores-Lin/MDPBench
	task_id: de
	value: 72.4
	date: "2026-04-28"
	source:
	url: https://huggingface.co/datasets/Delores-Lin/MDPBench
	name: MDPBench leaderboard
	user: Delores-Lin
	- dataset:
	id: Delores-Lin/MDPBench
	task_id: en
	value: 79.1
	date: "2026-04-28"
	source:
	url: https://huggingface.co/datasets/Delores-Lin/MDPBench
	name: MDPBench leaderboard
	user: Delores-Lin
	- dataset:
	id: Delores-Lin/MDPBench
	task_id: es
	value: 65.0
	date: "2026-04-28"
	source:
	url: https://huggingface.co/datasets/Delores-Lin/MDPBench
	name: MDPBench leaderboard
	user: Delores-Lin
	- dataset:
	id: Delores-Lin/MDPBench
	task_id: fr
	value: 62.1
	date: "2026-04-28"
	source:
	url: https://huggingface.co/datasets/Delores-Lin/MDPBench
	name: MDPBench leaderboard
	user: Delores-Lin
	- dataset:
	id: Delores-Lin/MDPBench
	task_id: id
	value: 72.9
	date: "2026-04-28"
	source:
	url: https://huggingface.co/datasets/Delores-Lin/MDPBench
	name: MDPBench leaderboard
	user: Delores-Lin
	- dataset:
	id: Delores-Lin/MDPBench
	task_id: it
	value: 82.9
	date: "2026-04-28"
	source:
	url: https://huggingface.co/datasets/Delores-Lin/MDPBench
	name: MDPBench leaderboard
	user: Delores-Lin
	- dataset:
	id: Delores-Lin/MDPBench
	task_id: nl
	value: 70.2
	date: "2026-04-28"
	source:
	url: https://huggingface.co/datasets/Delores-Lin/MDPBench
	name: MDPBench leaderboard
	user: Delores-Lin
	- dataset:
	id: Delores-Lin/MDPBench
	task_id: pt
	value: 83.8
	date: "2026-04-28"
	source:
	url: https://huggingface.co/datasets/Delores-Lin/MDPBench
	name: MDPBench leaderboard
	user: Delores-Lin
	- dataset:
	id: Delores-Lin/MDPBench
	task_id: vi
	value: 74.9
	date: "2026-04-28"
	source:
	url: https://huggingface.co/datasets/Delores-Lin/MDPBench
	name: MDPBench leaderboard
	user: Delores-Lin
	- dataset:
	id: Delores-Lin/MDPBench
	task_id: non_latin
	value: 52.8
	date: "2026-04-28"
	source:
	url: https://huggingface.co/datasets/Delores-Lin/MDPBench
	name: MDPBench leaderboard
	user: Delores-Lin
	- dataset:
	id: Delores-Lin/MDPBench
	task_id: ar
	value: 64.2
	date: "2026-04-28"
	source:
	url: https://huggingface.co/datasets/Delores-Lin/MDPBench
	name: MDPBench leaderboard
	user: Delores-Lin
	- dataset:
	id: Delores-Lin/MDPBench
	task_id: hi
	value: 59.0
	date: "2026-04-28"
	source:
	url: https://huggingface.co/datasets/Delores-Lin/MDPBench
	name: MDPBench leaderboard
	user: Delores-Lin
	- dataset:
	id: Delores-Lin/MDPBench
	task_id: jp
	value: 50.5
	date: "2026-04-28"
	source:
	url: https://huggingface.co/datasets/Delores-Lin/MDPBench
	name: MDPBench leaderboard
	user: Delores-Lin
	- dataset:
	id: Delores-Lin/MDPBench
	task_id: ko
	value: 41.6
	date: "2026-04-28"
	source:
	url: https://huggingface.co/datasets/Delores-Lin/MDPBench
	name: MDPBench leaderboard
	user: Delores-Lin
	- dataset:
	id: Delores-Lin/MDPBench
	task_id: ru
	value: 54.3
	date: "2026-04-28"
	source:
	url: https://huggingface.co/datasets/Delores-Lin/MDPBench
	name: MDPBench leaderboard
	user: Delores-Lin
	- dataset:
	id: Delores-Lin/MDPBench
	task_id: th
	value: 51.4
	date: "2026-04-28"
	source:
	url: https://huggingface.co/datasets/Delores-Lin/MDPBench
	name: MDPBench leaderboard
	user: Delores-Lin
	- dataset:
	id: Delores-Lin/MDPBench
	task_id: zh
	value: 46.6
	date: "2026-04-28"
	source:
	url: https://huggingface.co/datasets/Delores-Lin/MDPBench
	name: MDPBench leaderboard
	user: Delores-Lin
	- dataset:
	id: Delores-Lin/MDPBench
	task_id: zh_t
	value: 54.7
	date: "2026-04-28"
	source:
	url: https://huggingface.co/datasets/Delores-Lin/MDPBench
	name: MDPBench leaderboard
	user: Delores-Lin