Instructions to use ewin-reg/MiniCPM5-Vision-2B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use ewin-reg/MiniCPM5-Vision-2B with Transformers:

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

pipe = pipeline("image-text-to-text", model="ewin-reg/MiniCPM5-Vision-2B", trust_remote_code=True)

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("ewin-reg/MiniCPM5-Vision-2B", trust_remote_code=True, device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use ewin-reg/MiniCPM5-Vision-2B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "ewin-reg/MiniCPM5-Vision-2B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "ewin-reg/MiniCPM5-Vision-2B",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/ewin-reg/MiniCPM5-Vision-2B

SGLang

How to use ewin-reg/MiniCPM5-Vision-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 "ewin-reg/MiniCPM5-Vision-2B" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "ewin-reg/MiniCPM5-Vision-2B",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

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 "ewin-reg/MiniCPM5-Vision-2B" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "ewin-reg/MiniCPM5-Vision-2B",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use ewin-reg/MiniCPM5-Vision-2B with Docker Model Runner:
```
docker model run hf.co/ewin-reg/MiniCPM5-Vision-2B
```

ewin-reg commited on 3 days ago

Commit

eb2384b

verified ·

1 Parent(s): f004bb0

fix: set vision_config.image_size=384

Browse files

Files changed (1) hide show

config.json +1 -1

config.json CHANGED Viewed

@@ -60,7 +60,7 @@
     "attention_dropout": 0.0,
     "hidden_act": "gelu_pytorch_tanh",
     "hidden_size": 1152,
-    "image_size": 448,
     "intermediate_size": 4304,
     "layer_norm_eps": 1e-06,
     "model_type": "siglip_vision_model",

     "attention_dropout": 0.0,
     "hidden_act": "gelu_pytorch_tanh",
     "hidden_size": 1152,
+    "image_size": 384,
     "intermediate_size": 4304,
     "layer_norm_eps": 1e-06,
     "model_type": "siglip_vision_model",