Image-Text-to-Text
Transformers
Safetensors
English
minicpmo
feature-extraction
minicpm
omni
multimodal
audio
vision
tts
quantized
int4
INT4
w4a16
4-bit precision
compressed-tensors
vllm
text-generation
conversational
ptq
AutoRound (blocked — see KNOWN-FAILURES)
llmcompressor
sglang
text-generation-inference
88plug
post-training-quantization
vlm
image
custom_code
Instructions to use 88plug/MiniCPM-o-4.5-W4A16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 88plug/MiniCPM-o-4.5-W4A16 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-text-to-text", model="88plug/MiniCPM-o-4.5-W4A16", 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("88plug/MiniCPM-o-4.5-W4A16", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use 88plug/MiniCPM-o-4.5-W4A16 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "88plug/MiniCPM-o-4.5-W4A16" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "88plug/MiniCPM-o-4.5-W4A16", "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/88plug/MiniCPM-o-4.5-W4A16
- SGLang
How to use 88plug/MiniCPM-o-4.5-W4A16 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 "88plug/MiniCPM-o-4.5-W4A16" \ --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": "88plug/MiniCPM-o-4.5-W4A16", "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 "88plug/MiniCPM-o-4.5-W4A16" \ --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": "88plug/MiniCPM-o-4.5-W4A16", "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 88plug/MiniCPM-o-4.5-W4A16 with Docker Model Runner:
docker model run hf.co/88plug/MiniCPM-o-4.5-W4A16
| { | |
| "image_processor_type": "MiniCPMVImageProcessor", | |
| "feature_extractor_type": "MiniCPMAAudioProcessor", | |
| "auto_map": { | |
| "AutoProcessor": "processing_minicpmo.MiniCPMOProcessor", | |
| "AutoImageProcessor": "processing_minicpmo.MiniCPMVImageProcessor", | |
| "AutoFeatureExtractor": "processing_minicpmo.MiniCPMAAudioProcessor" | |
| }, | |
| "processor_class": "MiniCPMOProcessor", | |
| "max_slice_nums": 9, | |
| "scale_resolution": 448, | |
| "patch_size": 14, | |
| "use_image_id": true, | |
| "image_feature_size": 64, | |
| "im_start": "<image>", | |
| "im_end": "</image>", | |
| "slice_start": "<slice>", | |
| "slice_end": "</slice>", | |
| "unk": "<unk>", | |
| "im_id_start": "<image_id>", | |
| "im_id_end": "</image_id>", | |
| "slice_mode": true, | |
| "audio_pool_step": 5, | |
| "norm_mean": [ | |
| 0.5, | |
| 0.5, | |
| 0.5 | |
| ], | |
| "norm_std": [ | |
| 0.5, | |
| 0.5, | |
| 0.5 | |
| ], | |
| "version": 4.5 | |
| } |