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OpenGVLab
/
InternVL2_5-1B

Image-Text-to-Text
Transformers
TensorBoard
Safetensors
multilingual
internvl_chat
feature-extraction
internvl
custom_code
conversational
Model card Files Files and versions
xet
Metrics Training metrics Community
8

Instructions to use OpenGVLab/InternVL2_5-1B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use OpenGVLab/InternVL2_5-1B with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-text-to-text", model="OpenGVLab/InternVL2_5-1B", 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_5-1B", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • vLLM

    How to use OpenGVLab/InternVL2_5-1B with vLLM:

    Install from pip and serve model
    # Install vLLM from pip:
    pip install vllm
    # Start the vLLM server:
    vllm serve "OpenGVLab/InternVL2_5-1B"
    # 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_5-1B",
    		"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_5-1B
  • SGLang

    How to use OpenGVLab/InternVL2_5-1B 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_5-1B" \
        --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_5-1B",
    		"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_5-1B" \
            --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_5-1B",
    		"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_5-1B with Docker Model Runner:

    docker model run hf.co/OpenGVLab/InternVL2_5-1B
InternVL2_5-1B
1.89 GB
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  • 4 contributors
History: 15 commits
cyrilvallez's picture
cyrilvallez HF Staff
Update README.md
06b31c2 verified over 1 year ago
  • examples
    Release InternVL 2.5 over 1 year ago
  • runs
    Release InternVL 2.5 over 1 year ago
  • .gitattributes
    1.58 kB
    Release InternVL 2.5 over 1 year ago
  • README.md
    34 kB
    Update README.md over 1 year ago
  • added_tokens.json
    790 Bytes
    Release InternVL 2.5 over 1 year ago
  • config.json
    3.74 kB
    Release InternVL 2.5 over 1 year ago
  • configuration.json
    41 Bytes
    Update README.md over 1 year ago
  • configuration_intern_vit.py
    5.55 kB
    Release InternVL 2.5 over 1 year ago
  • configuration_internvl_chat.py
    3.89 kB
    Release InternVL 2.5 over 1 year ago
  • conversation.py
    15.3 kB
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  • generation_config.json
    129 Bytes
    Release InternVL 2.5 over 1 year ago
  • merges.txt
    1.67 MB
    Release InternVL 2.5 over 1 year ago
  • model.safetensors
    1.88 GB
    xet
    Release InternVL 2.5 over 1 year ago
  • modeling_intern_vit.py
    18.1 kB
    Release InternVL 2.5 over 1 year ago
  • modeling_internvl_chat.py
    15.6 kB
    Apply Github PR #127 to all HF models over 1 year ago
  • preprocessor_config.json
    287 Bytes
    Release InternVL 2.5 over 1 year ago
  • special_tokens_map.json
    744 Bytes
    Release InternVL 2.5 over 1 year ago
  • tokenizer_config.json
    9.02 kB
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  • vocab.json
    3.38 MB
    Release InternVL 2.5 over 1 year ago