Instructions to use OpenGVLab/InternVL2_5-78B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use OpenGVLab/InternVL2_5-78B with Transformers:

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

pipe = pipeline("image-text-to-text", model="OpenGVLab/InternVL2_5-78B", 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_5-78B", trust_remote_code=True, dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use OpenGVLab/InternVL2_5-78B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "OpenGVLab/InternVL2_5-78B"
# 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_5-78B",
		"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_5-78B

SGLang

How to use OpenGVLab/InternVL2_5-78B 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_5-78B" \
    --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_5-78B",
		"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_5-78B" \
        --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_5-78B",
		"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_5-78B with Docker Model Runner:
```
docker model run hf.co/OpenGVLab/InternVL2_5-78B
```

zwgao commited on Dec 5, 2024

Commit

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@@ -63,7 +63,7 @@ InternVL 2.5is a multimodal large language model series, featuring models of var
 | MathVision<sub>full<sub>          | 24.0        | 30.4            | -             | -                 | 19.2           | -                   | 25.9         | 32.2            |
 | MathVerse<sub>mini<sub>         | 32.8        | 50.2            | -             | -                 | -              | 39.1                | -            | 51.7            |
 | Olympiad Bench             | 18.0        | 25.9            | -             | -                 | -              | -                   | -            | 11.6            |
-| AI2D<sub>(w / wo M)sub>            | 78.2 / 89.4 | 84.6 / 94.2     | 70.6 / 88.1   | 81.2 / 94.7       | 79.1 / 94.4    | 85.6 / -            | 88.1 / -     | 89.1 / 95.7     |
 | ChartQA<sub>test avg.<sub>        | 78.5        | 85.7            | 80.8          | 90.8              | 87.2           | 83.7                | 88.3         | 88.3            |
 | TextVQA<sub>val<sub>             | 78.0        | 77.4            | 67.5          | 74.1              | 78.8           | 80.5                | 85.5         | 83.4            |
 | DocVQA<sub>test<sub>             | 88.4        | 92.8            | 89.3          | 95.2              | 93.1           | 91.3                | 96.5         | 95.1            |

 | MathVision<sub>full<sub>          | 24.0        | 30.4            | -             | -                 | 19.2           | -                   | 25.9         | 32.2            |
 | MathVerse<sub>mini<sub>         | 32.8        | 50.2            | -             | -                 | -              | 39.1                | -            | 51.7            |
 | Olympiad Bench             | 18.0        | 25.9            | -             | -                 | -              | -                   | -            | 11.6            |
+| AI2D<sub>(w / wo M)<sub>            | 78.2 / 89.4 | 84.6 / 94.2     | 70.6 / 88.1   | 81.2 / 94.7       | 79.1 / 94.4    | 85.6 / -            | 88.1 / -     | 89.1 / 95.7     |
 | ChartQA<sub>test avg.<sub>        | 78.5        | 85.7            | 80.8          | 90.8              | 87.2           | 83.7                | 88.3         | 88.3            |
 | TextVQA<sub>val<sub>             | 78.0        | 77.4            | 67.5          | 74.1              | 78.8           | 80.5                | 85.5         | 83.4            |
 | DocVQA<sub>test<sub>             | 88.4        | 92.8            | 89.3          | 95.2              | 93.1           | 91.3                | 96.5         | 95.1            |