Instructions to use rednote-hilab/dots.mocr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use rednote-hilab/dots.mocr with Transformers:

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

pipe = pipeline("image-text-to-text", model="rednote-hilab/dots.mocr", 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 AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("rednote-hilab/dots.mocr", trust_remote_code=True, dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use rednote-hilab/dots.mocr with vLLM:

Install from pip and serve model

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

SGLang

How to use rednote-hilab/dots.mocr 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 "rednote-hilab/dots.mocr" \
    --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": "rednote-hilab/dots.mocr",
		"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 "rednote-hilab/dots.mocr" \
        --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": "rednote-hilab/dots.mocr",
		"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 rednote-hilab/dots.mocr with Docker Model Runner:
```
docker model run hf.co/rednote-hilab/dots.mocr
```

dots.mocr / .eval_results /mdpbench.yaml

ygfrancois

Add MDPBench evaluation results (#3)

92a22a4 about 1 month ago

raw

history blame contribute delete

4.78 kB

	- dataset:
	id: Delores-Lin/MDPBench
	task_id: overall
	value: 80.5
	date: "2026-04-14"
	source:
	url: https://huggingface.co/datasets/Delores-Lin/MDPBench
	name: MDPBench leaderboard
	user: Delores-Lin
	- dataset:
	id: Delores-Lin/MDPBench
	task_id: digital
	value: 90.5
	date: "2026-04-14"
	source:
	url: https://huggingface.co/datasets/Delores-Lin/MDPBench
	name: MDPBench leaderboard
	user: Delores-Lin
	- dataset:
	id: Delores-Lin/MDPBench
	task_id: photographed
	value: 77.2
	date: "2026-04-14"
	source:
	url: https://huggingface.co/datasets/Delores-Lin/MDPBench
	name: MDPBench leaderboard
	user: Delores-Lin
	- dataset:
	id: Delores-Lin/MDPBench
	task_id: latin
	value: 81.7
	date: "2026-04-14"
	source:
	url: https://huggingface.co/datasets/Delores-Lin/MDPBench
	name: MDPBench leaderboard
	user: Delores-Lin
	- dataset:
	id: Delores-Lin/MDPBench
	task_id: de
	value: 82.6
	date: "2026-04-14"
	source:
	url: https://huggingface.co/datasets/Delores-Lin/MDPBench
	name: MDPBench leaderboard
	user: Delores-Lin
	- dataset:
	id: Delores-Lin/MDPBench
	task_id: en
	value: 87.4
	date: "2026-04-14"
	source:
	url: https://huggingface.co/datasets/Delores-Lin/MDPBench
	name: MDPBench leaderboard
	user: Delores-Lin
	- dataset:
	id: Delores-Lin/MDPBench
	task_id: es
	value: 71.3
	date: "2026-04-14"
	source:
	url: https://huggingface.co/datasets/Delores-Lin/MDPBench
	name: MDPBench leaderboard
	user: Delores-Lin
	- dataset:
	id: Delores-Lin/MDPBench
	task_id: fr
	value: 70.1
	date: "2026-04-14"
	source:
	url: https://huggingface.co/datasets/Delores-Lin/MDPBench
	name: MDPBench leaderboard
	user: Delores-Lin
	- dataset:
	id: Delores-Lin/MDPBench
	task_id: id
	value: 84.5
	date: "2026-04-14"
	source:
	url: https://huggingface.co/datasets/Delores-Lin/MDPBench
	name: MDPBench leaderboard
	user: Delores-Lin
	- dataset:
	id: Delores-Lin/MDPBench
	task_id: it
	value: 89.3
	date: "2026-04-14"
	source:
	url: https://huggingface.co/datasets/Delores-Lin/MDPBench
	name: MDPBench leaderboard
	user: Delores-Lin
	- dataset:
	id: Delores-Lin/MDPBench
	task_id: nl
	value: 83.2
	date: "2026-04-14"
	source:
	url: https://huggingface.co/datasets/Delores-Lin/MDPBench
	name: MDPBench leaderboard
	user: Delores-Lin
	- dataset:
	id: Delores-Lin/MDPBench
	task_id: pt
	value: 86.8
	date: "2026-04-14"
	source:
	url: https://huggingface.co/datasets/Delores-Lin/MDPBench
	name: MDPBench leaderboard
	user: Delores-Lin
	- dataset:
	id: Delores-Lin/MDPBench
	task_id: vi
	value: 79.9
	date: "2026-04-14"
	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: 79.2
	date: "2026-04-14"
	source:
	url: https://huggingface.co/datasets/Delores-Lin/MDPBench
	name: MDPBench leaderboard
	user: Delores-Lin
	- dataset:
	id: Delores-Lin/MDPBench
	task_id: ar
	value: 83.3
	date: "2026-04-14"
	source:
	url: https://huggingface.co/datasets/Delores-Lin/MDPBench
	name: MDPBench leaderboard
	user: Delores-Lin
	- dataset:
	id: Delores-Lin/MDPBench
	task_id: hi
	value: 83.6
	date: "2026-04-14"
	source:
	url: https://huggingface.co/datasets/Delores-Lin/MDPBench
	name: MDPBench leaderboard
	user: Delores-Lin
	- dataset:
	id: Delores-Lin/MDPBench
	task_id: jp
	value: 75.0
	date: "2026-04-14"
	source:
	url: https://huggingface.co/datasets/Delores-Lin/MDPBench
	name: MDPBench leaderboard
	user: Delores-Lin
	- dataset:
	id: Delores-Lin/MDPBench
	task_id: ko
	value: 78.7
	date: "2026-04-14"
	source:
	url: https://huggingface.co/datasets/Delores-Lin/MDPBench
	name: MDPBench leaderboard
	user: Delores-Lin
	- dataset:
	id: Delores-Lin/MDPBench
	task_id: ru
	value: 71.2
	date: "2026-04-14"
	source:
	url: https://huggingface.co/datasets/Delores-Lin/MDPBench
	name: MDPBench leaderboard
	user: Delores-Lin
	- dataset:
	id: Delores-Lin/MDPBench
	task_id: th
	value: 77.9
	date: "2026-04-14"
	source:
	url: https://huggingface.co/datasets/Delores-Lin/MDPBench
	name: MDPBench leaderboard
	user: Delores-Lin
	- dataset:
	id: Delores-Lin/MDPBench
	task_id: zh
	value: 84.6
	date: "2026-04-14"
	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: 79.6
	date: "2026-04-14"
	source:
	url: https://huggingface.co/datasets/Delores-Lin/MDPBench
	name: MDPBench leaderboard
	user: Delores-Lin