Instructions to use OpenGVLab/InternVL2-2B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use OpenGVLab/InternVL2-2B with Transformers:

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

pipe = pipeline("image-text-to-text", model="OpenGVLab/InternVL2-2B", 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("OpenGVLab/InternVL2-2B", trust_remote_code=True, dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use OpenGVLab/InternVL2-2B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "OpenGVLab/InternVL2-2B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "OpenGVLab/InternVL2-2B",
		"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/OpenGVLab/InternVL2-2B

SGLang

How to use OpenGVLab/InternVL2-2B 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 "OpenGVLab/InternVL2-2B" \
    --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": "OpenGVLab/InternVL2-2B",
		"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 "OpenGVLab/InternVL2-2B" \
        --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": "OpenGVLab/InternVL2-2B",
		"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 OpenGVLab/InternVL2-2B with Docker Model Runner:
```
docker model run hf.co/OpenGVLab/InternVL2-2B
```

czczup commited on Jul 3, 2024

Commit

aeae3bd

verified ·

1 Parent(s): f654ba4

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README.md +4 -2

README.md CHANGED Viewed

@@ -39,7 +39,8 @@ InternVL 2.0 is a multimodal large language model series, featuring models of va
 |  MMBench-EN<sub>test</sub>   |     71.0     |     73.6     |         70.9         |     73.2     |
 |  MMBench-CN<sub>test</sub>   |     63.6     |      -       |         66.2         |     70.9     |
 |    CCBench<sub>dev</sub>     |     29.6     |     24.1     |         63.5         |     74.7     |
-|  MMVet<sub>GPT-4-0613</sub>  |     33.1     |      -       |         39.3         |     44.6     |
 |          SEED-Image          |     69.6     |     70.9     |         69.8         |     71.6     |
 |   HallBench<sub>avg</sub>    |     32.2     |     39.0     |         37.5         |     37.9     |
 | MathVista<sub>testmini</sub> |     28.7     |     44.5     |         41.1         |     46.3     |
@@ -278,7 +279,8 @@ InternVL 2.0 是一个多模态大语言模型系列，包含各种规模的模
 |  MMBench-EN<sub>test</sub>   |     71.0     |     73.6     |         70.9         |     73.2     |
 |  MMBench-CN<sub>test</sub>   |     63.6     |      -       |         66.2         |     70.9     |
 |    CCBench<sub>dev</sub>     |     29.6     |     24.1     |         63.5         |     74.7     |
-|  MMVet<sub>GPT-4-0613</sub>  |     33.1     |      -       |         39.3         |     44.6     |
 |          SEED-Image          |     69.6     |     70.9     |         69.8         |     71.6     |
 |   HallBench<sub>avg</sub>    |     32.2     |     39.0     |         37.5         |     37.9     |
 | MathVista<sub>testmini</sub> |     28.7     |     44.5     |         41.1         |     46.3     |

 |  MMBench-EN<sub>test</sub>   |     71.0     |     73.6     |         70.9         |     73.2     |
 |  MMBench-CN<sub>test</sub>   |     63.6     |      -       |         66.2         |     70.9     |
 |    CCBench<sub>dev</sub>     |     29.6     |     24.1     |         63.5         |     74.7     |
+|  MMVet<sub>GPT-4-0613</sub>  |      -       |      -       |         39.3         |     44.6     |
+| MMVet<sub>GPT-4-Turbo</sub>  |     33.1     |     44.1     |         35.5         |     39.5     |
 |          SEED-Image          |     69.6     |     70.9     |         69.8         |     71.6     |
 |   HallBench<sub>avg</sub>    |     32.2     |     39.0     |         37.5         |     37.9     |
 | MathVista<sub>testmini</sub> |     28.7     |     44.5     |         41.1         |     46.3     |
 |  MMBench-EN<sub>test</sub>   |     71.0     |     73.6     |         70.9         |     73.2     |
 |  MMBench-CN<sub>test</sub>   |     63.6     |      -       |         66.2         |     70.9     |
 |    CCBench<sub>dev</sub>     |     29.6     |     24.1     |         63.5         |     74.7     |
+|  MMVet<sub>GPT-4-0613</sub>  |      -       |      -       |         39.3         |     44.6     |
+| MMVet<sub>GPT-4-Turbo</sub>  |     33.1     |     44.1     |         35.5         |     39.5     |
 |          SEED-Image          |     69.6     |     70.9     |         69.8         |     71.6     |
 |   HallBench<sub>avg</sub>    |     32.2     |     39.0     |         37.5         |     37.9     |
 | MathVista<sub>testmini</sub> |     28.7     |     44.5     |         41.1         |     46.3     |