Instructions to use Skywork/Skywork-R1V2-38B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Skywork/Skywork-R1V2-38B with Transformers:

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

pipe = pipeline("image-text-to-text", model="Skywork/Skywork-R1V2-38B", 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("Skywork/Skywork-R1V2-38B", trust_remote_code=True, dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use Skywork/Skywork-R1V2-38B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Skywork/Skywork-R1V2-38B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Skywork/Skywork-R1V2-38B",
		"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/Skywork/Skywork-R1V2-38B

SGLang

How to use Skywork/Skywork-R1V2-38B 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 "Skywork/Skywork-R1V2-38B" \
    --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": "Skywork/Skywork-R1V2-38B",
		"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 "Skywork/Skywork-R1V2-38B" \
        --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": "Skywork/Skywork-R1V2-38B",
		"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 Skywork/Skywork-R1V2-38B with Docker Model Runner:
```
docker model run hf.co/Skywork/Skywork-R1V2-38B
```

OrlandoHugBot commited on Apr 22, 2025

Commit

cd77376

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1 Parent(s): 42a0c61

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README.md +3 -9

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@@ -22,17 +22,11 @@ license: mit
 ## 1. Model Introduction
 | Model Name             | Vision Encoder                                                                                     | Language Model                                                                  | HF Link      |
 | ---------------------- | -------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------- | ------------ |
-| Skywork-R1V-38B        | [InternViT-6B-448px-V2_5](https://huggingface.co/OpenGVLab/InternViT-6B-448px-V2_5)                | [deepseek-ai/DeepSeek-R1-Distill-Qwen-32B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-32B)                   | [🤗 Link](https://huggingface.co/Skywork/Skywork-R1V-38B) |
 | Skywork-R1V2-38B  | [InternViT-6B-448px-V2_5](https://huggingface.co/OpenGVLab/InternViT-6B-448px-V2_5)                | [Qwen/QwQ-32B](https://huggingface.co/Qwen/QwQ-32B)                             |      [🤗 Link](https://huggingface.co/Skywork/Skywork-R1V2-38B)       |
-## 2. Feature
-- **Visual Chain-of-Thought**: Enables multi-step logical reasoning on visual inputs, breaking down complex image-based problems into manageable steps.
-- **Mathematical & Scientific Analysis**: Capable of solving visual math problems and interpreting scientific/medical imagery with high precision.
-- **Cross-Modal Understanding**: Seamlessly integrates text and images for richer, context-aware comprehension.
-## 3. Evaluation
 <br>
 <br>
 <div align="center">
@@ -246,7 +240,7 @@ license: mit
 ---
-## 4. Usage
 ### 1. Clone the Repository
@@ -273,7 +267,7 @@ CUDA_VISIBLE_DEVICES="0,1" python inference_with_transformers.py \
 ---
-## 5. Citation
 If you use Skywork-R1V in your research, please cite:
 ```

 ## 1. Model Introduction
 | Model Name             | Vision Encoder                                                                                     | Language Model                                                                  | HF Link      |
 | ---------------------- | -------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------- | ------------ |
 | Skywork-R1V2-38B  | [InternViT-6B-448px-V2_5](https://huggingface.co/OpenGVLab/InternViT-6B-448px-V2_5)                | [Qwen/QwQ-32B](https://huggingface.co/Qwen/QwQ-32B)                             |      [🤗 Link](https://huggingface.co/Skywork/Skywork-R1V2-38B)       |
+## 2. Evaluation
 <br>
 <br>
 <div align="center">
 ---
+## 3. Usage
 ### 1. Clone the Repository
 ---
+## 4. Citation
 If you use Skywork-R1V in your research, please cite:
 ```