Instructions to use openbmb/MiniCPM-Llama3-V-2_5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use openbmb/MiniCPM-Llama3-V-2_5 with Transformers:

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

pipe = pipeline("image-text-to-text", model="openbmb/MiniCPM-Llama3-V-2_5", 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("openbmb/MiniCPM-Llama3-V-2_5", trust_remote_code=True, device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use openbmb/MiniCPM-Llama3-V-2_5 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "openbmb/MiniCPM-Llama3-V-2_5"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "openbmb/MiniCPM-Llama3-V-2_5",
		"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/openbmb/MiniCPM-Llama3-V-2_5

SGLang

How to use openbmb/MiniCPM-Llama3-V-2_5 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 "openbmb/MiniCPM-Llama3-V-2_5" \
    --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": "openbmb/MiniCPM-Llama3-V-2_5",
		"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 "openbmb/MiniCPM-Llama3-V-2_5" \
        --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": "openbmb/MiniCPM-Llama3-V-2_5",
		"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 openbmb/MiniCPM-Llama3-V-2_5 with Docker Model Runner:
```
docker model run hf.co/openbmb/MiniCPM-Llama3-V-2_5
```

couldn't connect to 'https://hf-mirror.com'

#47

by ccccccyan - opened Jun 24, 2024

Discussion

ccccccyan

Jun 24, 2024

•

edited Jun 24, 2024

I am using MiniCPM-Llama3-V-2-5 through the huggingface mirror website, but recently it has prompted me that I cannot connect https://hf-mirror.com. But I can access this website through a browser. Is there any solution?
Traceback (most recent call last):
File "/home/fx/Exp2/MiniCPM/MiniCPM-V-main/test.py", line 7, in
chat_model = OmniLMMChat('openbmb/MiniCPM-Llama3-V-2_5')
File "/home/fx/Exp2/MiniCPM/MiniCPM-V-main/chat.py", line 192, in init
self.model = MiniCPMV2_5(model_path)
File "/home/fx/Exp2/MiniCPM/MiniCPM-V-main/chat.py", line 165, in init
self.model = AutoModel.from_pretrained(model_path, trust_remote_code=True).to(dtype=torch.float16)
File "/home/fx/anaconda3/envs/MiniCPMV/lib/python3.10/site-packages/transformers/models/auto/auto_factory.py", line 523, in from_pretrained
config, kwargs = AutoConfig.from_pretrained(
File "/home/fx/anaconda3/envs/MiniCPMV/lib/python3.10/site-packages/transformers/models/auto/configuration_auto.py", line 937, in from_pretrained
config_class = get_class_from_dynamic_module(
File "/home/fx/anaconda3/envs/MiniCPMV/lib/python3.10/site-packages/transformers/dynamic_module_utils.py", line 489, in get_class_from_dynamic_module
final_module = get_cached_module_file(
File "/home/fx/anaconda3/envs/MiniCPMV/lib/python3.10/site-packages/transformers/dynamic_module_utils.py", line 294, in get_cached_module_file
resolved_module_file = cached_file(
File "/home/fx/anaconda3/envs/MiniCPMV/lib/python3.10/site-packages/transformers/utils/hub.py", line 441, in cached_file
raise EnvironmentError(
OSError: We couldn't connect to 'https://hf-mirror.com' to load this file, couldn't find it in the cached files and it looks like openbmb/MiniCPM-Llama3-V-2_5 is not the path to a directory containing a file named configuration_minicpm.py.
Checkout your internet connection or see how to run the library in offline mode at 'https://huggingface.co/docs/transformers/installation#offline-mode'.

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