Instructions to use OpenGVLab/Mini-InternVL2-4B-DA-DriveLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use OpenGVLab/Mini-InternVL2-4B-DA-DriveLM with Transformers:

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

pipe = pipeline("image-text-to-text", model="OpenGVLab/Mini-InternVL2-4B-DA-DriveLM", 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/Mini-InternVL2-4B-DA-DriveLM", trust_remote_code=True, dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use OpenGVLab/Mini-InternVL2-4B-DA-DriveLM with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "OpenGVLab/Mini-InternVL2-4B-DA-DriveLM"
# 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/Mini-InternVL2-4B-DA-DriveLM",
		"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/Mini-InternVL2-4B-DA-DriveLM

SGLang

How to use OpenGVLab/Mini-InternVL2-4B-DA-DriveLM 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/Mini-InternVL2-4B-DA-DriveLM" \
    --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/Mini-InternVL2-4B-DA-DriveLM",
		"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/Mini-InternVL2-4B-DA-DriveLM" \
        --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/Mini-InternVL2-4B-DA-DriveLM",
		"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/Mini-InternVL2-4B-DA-DriveLM with Docker Model Runner:
```
docker model run hf.co/OpenGVLab/Mini-InternVL2-4B-DA-DriveLM
```

Cannot load vocab_file, Encounter TypeError and DecodeError related to the protobuf library when running the example code.

by YiRabbit - opened Dec 24, 2024

Discussion

YiRabbit

Dec 24, 2024

Issue Summary:
Cannot load vocab_file using LlamaTokenizer. Encounter TypeError and DecodeError related to the protobuf library when running the example code.

Environment:
Operating System: Ubuntu 20.04
Python Version: 3.9
Library Version: transformers 4.37.2

Steps to Reproduce

Clone the repository: git clone https://github.com/user/repo.git
Install dependencies.
Copy the example code in the README and run the script: python script.py
Encounter the following error:
"miniconda3/envs/internvl2/lib/python3.9/site-packages/transformers/models/llama/tokenization_llama.py", line 206, in get_spm_processor
with open(self.vocab_file, "rb") as f:
TypeError: expected str, bytes or os.PathLike object, not NoneType
To troubleshoot, I modified the code to explicitly load the vocab_file:
tokenizer = LlamaTokenizer.from_pretrained(path, vocab_file=vocab_file_path, trust_remote_code=True, use_fast=False)
Run the script again: python script.py

Actual Behavior
Encounter the following traceback when running the modified script:
Traceback (most recent call last):
File "script.py", line X, in
tokenizer = LlamaTokenizer.from_pretrained(path, vocab_file=vocab_file_path, trust_remote_code=True, use_fast=False)
File "miniconda3/envs/internvl2/lib/python3.9/site-packages/transformers/models/llama/tokenization_llama.py", line 209, in get_spm_processor
model = model_pb2.ModelProto.FromString(sp_model)
google.protobuf.message.DecodeError: Error parsing message with type 'sentencepiece.ModelProto'

risakri001

Mar 19, 2025

@YiRabbit Did you manage to resolve this issue TypeError: expected str, bytes or os.PathLike object, not NoneType?

Thanks

OsamaAlkhodairy

Mar 28, 2025

•

edited Mar 28, 2025

Also curious if anyone ended up resolving this. @risakri001 @YiRabbit

Edit: seems like removing use_fast=False resolves it!

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