Instructions to use Dream-org/Dream-VL-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Dream-org/Dream-VL-7B with Transformers:

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

pipe = pipeline("image-text-to-text", model="Dream-org/Dream-VL-7B", 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 AutoModel
model = AutoModel.from_pretrained("Dream-org/Dream-VL-7B", trust_remote_code=True, device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use Dream-org/Dream-VL-7B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Dream-org/Dream-VL-7B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Dream-org/Dream-VL-7B",
		"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/Dream-org/Dream-VL-7B

SGLang

How to use Dream-org/Dream-VL-7B 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 "Dream-org/Dream-VL-7B" \
    --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": "Dream-org/Dream-VL-7B",
		"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 "Dream-org/Dream-VL-7B" \
        --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": "Dream-org/Dream-VL-7B",
		"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 Dream-org/Dream-VL-7B with Docker Model Runner:
```
docker model run hf.co/Dream-org/Dream-VL-7B
```

Link model to paper and update metadata

by nielsr HF Staff - opened Dec 31, 2025

base: refs/heads/main

←

from: refs/pr/1

Discussion Files changed

+13

-8

Files changed (1) hide show

README.md +13 -8

README.md CHANGED Viewed

@@ -1,14 +1,19 @@
 ---
 library_name: transformers
 tags:
 - vlm
 - image-text-to-text
 - multimodal
 - pretraining
-license: apache-2.0
-language:
-- en
-pipeline_tag: image-text-to-text
 ---
 # Dream-VL 7B
@@ -18,7 +23,7 @@ The model takes language instructions and images as input and generates language
 All Dream-VL checkpoints, as well as our [training codebase](https://github.com/DreamLM/Dream-VLX) are released under an Apache 2.0 License.
-For full details, please read [our blog](https://hkunlp.github.io/blog/2025/dream-vlx/) and paper (pending).
 ## Model Summary
@@ -27,7 +32,7 @@ For full details, please read [our blog](https://hkunlp.github.io/blog/2025/drea
 - **License:** apache-2.0
 - **Finetuned from:** [`Dream-7B`](https://huggingface.co/Dream-org/Dream-v0-Instruct-7B), with Qwen2ViT Vision Backbone.
 - **Pretraining Dataset:** [MAmmoTH-VL-Instruct-12M](https://huggingface.co/datasets/MAmmoTH-VL/MAmmoTH-VL-Instruct-12M).
-- **Repository:** [https://github.com/DreamLM/DreamVLX](https://github.com/DreamLM/Dream-VLX)
 - **Project Page & Videos:** [https://hkunlp.github.io/blog/2025/dream-vlx](https://hkunlp.github.io/blog/2025/dream-vlx/)
 ## Getting Started
@@ -133,8 +138,8 @@ for j in range(len(messages)):
 ```bibtex
 @article{ye2025dreamvla,
   title={Dream-VL & Dream-VLA: Open Vision-Language and Vision-Language-Action Models with Diffusion Language Model Backbone},
-  author={Ye, Jiacheng and Gong, Shansan and Gao, Jiahui and Fan, Junming and Wu, Shuang and Bi, Wei and Bai, Haoli and Shang, Lifeng and Kong, Lingpeng},
-  journal={arXiv preprint},
   year={2025}
 }
 ```

 ---
+language:
+- en
 library_name: transformers
+license: apache-2.0
+pipeline_tag: image-text-to-text
+base_model: Dream-org/Dream-v0-Instruct-7B
+datasets:
+- MAmmoTH-VL/MAmmoTH-VL-Instruct-12M
+arxiv: 2512.22615
 tags:
 - vlm
 - image-text-to-text
 - multimodal
 - pretraining
+- diffusion
 ---
 # Dream-VL 7B
 All Dream-VL checkpoints, as well as our [training codebase](https://github.com/DreamLM/Dream-VLX) are released under an Apache 2.0 License.
+For full details, please read [our blog](https://hkunlp.github.io/blog/2025/dream-vlx/) and the paper: [Dream-VL & Dream-VLA: Open Vision-Language and Vision-Language-Action Models with Diffusion Language Model Backbone](https://huggingface.co/papers/2512.22615).
 ## Model Summary
 - **License:** apache-2.0
 - **Finetuned from:** [`Dream-7B`](https://huggingface.co/Dream-org/Dream-v0-Instruct-7B), with Qwen2ViT Vision Backbone.
 - **Pretraining Dataset:** [MAmmoTH-VL-Instruct-12M](https://huggingface.co/datasets/MAmmoTH-VL/MAmmoTH-VL-Instruct-12M).
+- **Repository:** [https://github.com/DreamLM/Dream-VLX](https://github.com/DreamLM/Dream-VLX)
 - **Project Page & Videos:** [https://hkunlp.github.io/blog/2025/dream-vlx](https://hkunlp.github.io/blog/2025/dream-vlx/)
 ## Getting Started
 ```bibtex
 @article{ye2025dreamvla,
   title={Dream-VL & Dream-VLA: Open Vision-Language and Vision-Language-Action Models with Diffusion Language Model Backbone},
+  author={Ye, Jiacheng and Gong, Shansan and Gao, Jiahui and Fan, Junming and Wu, Shuang} and Bi, Wei and Bai, Haoli and Shang, Lifeng and Kong, Lingpeng},
+  journal={arXiv preprint arXiv:2512.22615},
   year={2025}
 }
 ```